PhD Student in Energy Engineering
Are you ready to take the next step in your academic journey? As a PhD student with us, you will work closely with leading researchers in a strong and international research environment, with access to advanced laboratory equipment and good funding opportunities. You are offered secure employment, high-quality supervision, and space to grow, both as a researcher and as a person. The Department of Energy Science is seeking you to pursue a doctorate in the field of energy engineering. Your research will focus on modeling and analysis of sustainable forest-based fuels for gas turbines, and their possible role(s) in the transition to a fossil-free energy system. Energy Engineering is located at the Department of Energy Science at the School of Engineering Sciences and Mathematics, which is a subject-wise broad institution with many successful research groups and recognized educational programs. Within Energy Engineering, we have close collaboration with industries and authorities in both research projects and student projects. The research is of high international quality and we collaborate with researchers worldwide. Within the field of energy systems analysis, research is directed toward the transition to a sustainable future, which includes studies related to new technologies, process integration and policy instruments, as well as overarching energy system aspects at local, national and supranational levels. We collaborate in an interdisciplinary manner with several social science subjects. The work will be based on the IEA-ETSAP TIMES model framework. The TIMES group has a good national and international reputation and is a sought-after partner in both academic and public contexts. The group focuses on energy system optimization, applied systems analysis, scenario analysis, sustainable energy and climate transition. Subject Description Energy Engineering encompasses the development of technology and processes for a sustainable energy supply. Research is directed toward biofuel technology and energy-efficient use in industry and society. Project Description The doctoral project is part of phase 2 of the national competence center CESTAP (Competence cEntre in Sustainable Turbine Fuels for Aviation and Power), which is funded by the Swedish Energy Agency, academia and industry actors. The work will explore various possible roles for sustainable forest-based fuels for gas turbines in mobile (primarily aviation) and stationary (for electricity production) applications. The analyses will be based on an energy system perspective that also considers developments in other parts of the energy system, society's future energy and electricity needs, established climate and other environmental goals, various resource constraints, etc. The doctoral student's role is to develop a module for the existing TIMES-Sweden model, which will then be used to analyze various raw materials, fuel production pathways and turbine applications, with the goal of identifying cost-effective pathways to a future fossil-free and resource-efficient Swedish energy system. Work Tasks A doctoral position involves both theoretical and practical work. As a PhD student, you will be trained in scientific work by publishing scientific articles in journals and presenting research results at national and international conferences. You will also take mandatory and elective courses. Additionally, you may have the opportunity to try your hand at teaching (departmental service). Work in this doctoral position includes, among other things: Collecting and analyzing relevant data and information, Developing and using TIMES-based models, Scenario analysis and communicating results from these, Writing scientific articles and reports, Scientific research presentations both nationally and internationally, Participation in seminar activities within the department and research group, and Supporting less experienced TIMES modelers (during the latter part of the doctoral position). Departmental service includes, for example, responsibility for elements in the courses Sustainable Energy Systems and Environmental Systems Analysis as well as assisting with supervision of student projects within the Master's Programme in Energy Engineering. Qualifications For eligibility, a Master's degree in Engineering, or equivalent basic eligibility requirements according to the Swedish Higher Education Ordinance Chapter 7 Section 39, with a focus on environment and energy, engineering physics, industrial economics or equivalent is required. Since the research is highly communicative, good ability to express yourself in speech and writing in English is required, both with researchers from different disciplines and with industry and societal actors. Qualifying for this position are: Good understanding of energy systems and their development, particularly at the national level. Knowledge and skills in energy engineering. Basic understanding of modeling and quantitative analysis methods. Ability to formulate, manage and analyze scientific problems. Meriting for this position are: Experience with energy systems modeling, particularly at the national level. Experience with optimization models and/or other quantitative modeling methods. Experience with scenario analysis linked to climate goals, environmental goals or energy transition. Documented knowledge of sustainable energy transition. Ability to understand Swedish and make yourself understood in conversation in Swedish, as some information is only available in Swedish and parts of knowledge exchange take place in Swedish contexts and with Swedish actors. For further information on specific doctoral education, see: Study plans for research education within the School of Engineering Sciences and Mathematics. Information Doctoral studies are conducted full-time for 4 years and include participation in courses at Luleå University of Technology and possibly at other universities, as well as presentation of your research internationally. Departmental service up to 20% of full-time may be added. The place of work is Luleå. Start according to agreement, but no earlier than 2027-01-01. For each position, a preliminary salary range is provided based on the position's requirements, responsibilities and market conditions. For further information, please contact: Anna Krook-Riekkola, Professor, 0920–492552 [email protected] Application We prefer that you apply for the position via the application button below, where you attach a personal letter as well as CV/list of qualifications, copies of verified diplomas, and your answers to the questions you find in the attached document. Please mark your application with the reference number below. Both the application and diplomas must be written in Swedish or English. Application Deadline: October 14, 2026 Reference Number: 3982–2026
PhD student in energy engineering
Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely with leading researchers in a strong, international research environment, with access to advanced laboratory equipment and solid funding opportunities. You will be offered secure employment, high-quality supervision, and room to grow, both as a researcher and as a person. The Division of Energy Science is seeking a doctoral student in Energy Engineering. Your research will focus on modelling and analysing sustainable forest-based fuels for gas turbines and their potential role(s) in the transition to a fossil-free energy system. Energy Engineering is a part of the Division of Energy Science in the Department of Engineering Science and Mathematics, which is a subject-wide department with many successful research groups and recognized educational programs. In Energy Engineering, we have a close collaboration with industries and organizations in both research projects and student projects. The research is of international quality, and we collaborate with researchers around the world. Within the area of Energy system analysis, the research is targeted at the transition to a sustainable future, including but not limited to, studies related to new technologies, process integration and policy measures, as well as overall energy system aspects at local, national and supranational levels. We collaborate interdisciplinary with several social science subjects. The research is based on applying the IEA-ETSAP TIMES model framework. The TIMES research group has a strong national and international reputation and is a sought-after partner in academic and public contexts. The research includes energy system optimization models, sustainable energy and climate transition, scenario analysis, and applied system analysis. Subject description Energy Engineering concerns the development of technologies and processes in order to build a sustainable energy supply. The research focuses on bioenergy technologies and energy efficiency in industry and society. Project description The project is part of the Swedish national competence centre CESTAP (Competence cEntre in Sustainable Turbine Fuels for Aviation and Power) (phase 2), which is jointly funded by the Swedish Energy Agency, academic partners, and industry. This PhD project will focus on exploring potential roles of sustainable forest-based fuels for gas turbines in mobile (mainly aviation) and stationary (for power) applications. The research will apply an energy systems perspective, considering developments across the energy system, future need for energy and electricity, climate and other environmental goals, resource limitations, etc. To identify cost-efficient pathways towards a future fossil-free and resource-efficient Swedish energy system, the PhD candidate will first develop a module for the existing TIMES-Sweden model, and thereafter, apply the model to analyse different feedstocks, biofuel production routes, and turbine applications under different scenarios. Duties A PhD position means being part of a research group where you, in collaboration with others, carry out scientific research work. You also take academic courses (some mandatory, some of your own choice), and you may try teaching (as part of departmental duties). The research work will include, for example: Collect and analyze relevant data and information. Develop and use TIMES-based models. Scenario analysis and communicate results from the analyses. Write scientific journal articles both individually and in collaboration with others. Present research results nationally and internationally. Active participation in seminars within the research group. Support less experienced TIMES model users (towards the second half of the PhD). Departmental duties include teaching assistantship in two undergraduate courses, Sustainable Energy Systems and Environmental Systems Analysis, as well as supervising master's student projects within the master's program in Energy Engineering. Qualifications MSc or an equivalent degree in Environment and Energy, Physical Resource Theory, Operational Research, or similar areas. Advanced knowledge of written and spoken English is required. You should be able to communicate both within the academic community and with external industry stakeholders. Below are considered important merits: Understanding of energy systems and their development, particularly at national level. Knowledge and skills in energy engineering. Basic knowledge and understanding of modelling and quantitative analytical methods. Ability to approach, formulate, and analyse scientific problems. Additional merits for this specific position: Experience of modelling energy systems, particularly at the national level. Experience of optimisation modelling and/or other mathematical models. Experience in scenario analysis, related to climate or other environmental goals, or energy transitions. Knowledge of sustainable energy transitions. Ability to understand Swedish and make yourself understood in a conversation in Swedish, as some information is only available in Swedish and knowledge exchange will occur in a Swedish setting with Swedish industry stakeholders. For further information about the specific doctoral program: Technical Sciences - Luleå University of Technology (ltu.se) Information Employment as a PhD student is limited to 4 years, teaching and other departmental duties may be added with a maximum of 20%. Placement: Luleå, Sweden. Starting: by agreement (no earlier than January 1st 2027). For each position, a preliminary salary range is provided based on the requirements, responsibilities, and market conditions associated with the role. For further information, please contact: Anna Krook Riekkola, Professor, (+46) 920-492552 [email protected] Union representatives In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence. Application Preferably, you should apply for this position by clicking on the apply button below. The application should include a CV, Personal letter, copies of verified university diplomas, and your answers to the questions in the appended document. Your application, including diplomas, must be written in English or Swedish. Mark your application with the reference number below. Closing date for applications: October 14, 2026 Ref no: 3982–2026
PhD Student in Robotics and Artificial Intelligence
Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely with leading researchers in a strong, international research environment, with access to advanced laboratory equipment and solid funding opportunities. You will be offered secure employment, high-quality supervision, and room to grow, both as a researcher and as a person. The Robotics and Artificial Intelligence (RAI) research subject at the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology is expanding and is looking for a PhD student to strengthen its research on intelligent soft robotic systems. Our international team conducts fundamental and applied research in aerial, space, field and bio-inspired robotics, with a strong focus on translating advanced theory into robotic systems validated in real-world environments. Learn more about https://www.ltu.se/en/research/research-subjects/robotics-and-ai. Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability of robots to interact with the surrounding environment and humans during the execution of specific tasks. Project description You will join the RAI team and contribute to the development of next-generation soft robotic systems that can adapt to complex environments and uncertain interaction conditions. The vision of RAI is to close the gap from theory to real life, while the team has strong expertise in field robotics. The research will combine theoretical development, simulation and hands-on experimentation. Relevant directions include embodied intelligence, foundation models for adaptive soft robots, real-time stiffness-aware control, resilient autonomy for self-healing robotic platforms, and uncertainty-aware predictive human–robot interaction. The work will be connected to national and international research and innovation projects. Duties As a PhD student, you will carry out both theoretical and experimental research within your doctoral studies. Most of your working time will be devoted to your research. You will communicate your results through publications in peer-reviewed journals and presentations at national and international conferences. The position may also include teaching, supervision of master's students and participation in research funding applications. You will be working in the field of robotic autonomy and all activities will be linked with national, European and worldwide R&D projects. The research topic is in the area of Robotics and Artificial Intelligence. More specifically, the position will involve intensive research activities in the area of designing, experimenting and theoretical development, with the following research areas providing a template for relevant directions: Embodied Intelligence for Soft Robotic Systems Foundational Models for Adaptive Soft Robots Real-Time Adaptive and Stiffness-Aware Control Resilient Autonomy for Self-Healing Soft Robotic Platforms Uncertainty-Aware and Predictive Human-Robot Interaction Qualifications To be qualified for the position, you must have an MSc degree in Electrical or Mechanical Engineering or Computer Science or a related subject. Excellent scientific skills with excellence in real-world experimentation, as well as very good communication skills are considered a strong plus. You will represent the group in different contexts, both in Sweden and worldwide, so very good knowledge of English is a must. Experience in one or more of the following areas is considered an advantage: soft or bio-inspired robotics, robot control, artificial intelligence or machine learning, modeling and simulation, experimental robotics, and scientific programming. Previous scientific publications or experience from research and development projects are also meritorious. We value candidates who are analytical, self-motivated and able to work both independently and as part of an international research team. For further information about a specific subject see http://www.ltu.se/research/Utbildning-pa-forskarniva/Studieplaner/Allmanna-studieplaner-Teknisk-fakultetsnamnd?l=en Further information Employment as a PhD student is limited to four years. Teaching and other departmental duties may be added up to a maximum of 20%. Location: Luleå. Starting date: by agreement. For each position, a preliminary salary information is provided based on the requirements, responsibilities, and market conditions associated with the role. For further information about the position, please contact Chaired Professor George Nikolakopoulos, +46 920-49 1298, mailto:[email protected]. https://www.ltu.se/en/about-the-university/work-with-us/applying-for-a-job#h-Tradeunioncontacts In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence. Application We prefer that you apply for this position by clicking the apply button below. The application should include a CV, personal letter and copies of verified diplomas from high school and universities. Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish. Closing date for applications: 7 October, 2026 Reference number: 4815-2026
PhD Candidate in Robotics and Artificial Intelligence
Are you ready to take the next step in your academic journey? As a PhD candidate with us, you will work closely with leading researchers in a strong and international research environment, with access to advanced laboratory equipment and excellent funding opportunities. You will be offered secure employment, high-quality supervision, and space to grow both as a researcher and as a person. The research subject of Robotics and Artificial Intelligence (RAI) at the Department of Systems and Space Technology at Luleå University of Technology is expanding and seeking a PhD candidate to strengthen research in intelligent soft robotic systems. Our international team conducts fundamental and applied research in aerial, space, field, and bio-inspired robotics, with a strong focus on translating advanced theory into robotic systems validated in real-world environments. Read more at https://www.ltu.se/forskning/forskningsamnen/robotik-och-ai?utm_source=chatgpt.com. Research Subject Description Robotics and Artificial Intelligence aims to develop new robotic systems characterized by advanced autonomy to enhance robots' ability to interact with their environment and people while performing specific tasks. Project Description You will join the RAI team and contribute to the development of next-generation soft robotic systems that can adapt to complex environments and uncertain interaction conditions. RAI's vision is to bridge the gap between theory and practical application, and the team has extensive expertise in field robotics. The research will combine theoretical development, simulation, and practical experiments. Relevant research directions include embodied intelligence, foundation models for adaptive soft robots, adaptive real-time control considering stiffness, robust autonomy for self-healing robotic platforms, and uncertainty-aware and predictive human-robot interaction. The work will be connected to national and international research and innovation projects. Duties As a PhD candidate, you will conduct both theoretical and experimental research as part of your doctoral education. The majority of your working time will be devoted to your own research. You will communicate your results through publications in peer-reviewed scientific journals and presentations at national and international conferences. The position may also include teaching, supervision of master's level thesis students, and participation in research funding applications. You will work within robot autonomy, and all activities will be linked to national, European, and international research and development projects. The position will include research in design, experimental validation, and theoretical development, with the following areas as relevant possible focus areas: Embodied Intelligence for Soft Robotic Systems Foundation Models for Adaptive Soft Robots Adaptive Real-Time Control Considering Stiffness Robust Autonomy for Self-Healing Soft Robotic Platforms Uncertainty-Aware and Predictive Human-Robot Interaction Qualifications To be eligible for the position, you must have a master's degree in electrical engineering, mechanical engineering, computer science, or a related field. Strong scientific competence, documented experience with practical experimental work, and excellent communication skills are highly meriting. You will represent the research group in various contexts, both in Sweden and internationally, and therefore excellent knowledge of English is required. Experience in one or more of the following areas is meriting: soft or bio-inspired robotics, robot control, artificial intelligence or machine learning, modeling and simulation, experimental robotics, and scientific programming. Previous scientific publications or experience from research and development projects are also meriting. We value candidates who are analytical, self-driven, and can work both independently and as part of an international research team. For further information about doctoral education, see http://www.ltu.se/research/Utbildning-pa-forskarniva/Studieplaner/Allmanna-studieplaner-Teknisk-fakultetsnamnd Information The position as PhD candidate is time-limited to four years. Teaching and other departmental work may be included up to a maximum of 20 percent. Location: Luleå. Start date according to agreement. For each position, a preliminary salary level is indicated based on the position's requirements, responsibilities, and market conditions, see https://www.ltu.se/om-universitetet/arbeta-hos-oss/att-soka-en-anstallning#h-Informationomlonetransparens. For further information about the position, contact subject representative professor George Nikolakopoulos, 0920 49 1298, mailto:[email protected]. https://www.ltu.se/om-universitetet/arbeta-hos-oss/att-soka-en-anstallning#h-Fackligakontaktpersoner Application We prefer that you apply for the position using the application button below where you attach a personal letter, CV/list of qualifications, and copies of verified diplomas. Please mark your application with the reference number below. Both the application and diplomas must be written in Swedish or English. Application Deadline: October 7, 2026 Reference Number: 4815-2026
PhD Student in Cyber-Physical Systems
Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely with leading researchers in a strong, international research environment, with access to advanced laboratory equipment and solid funding opportunities. You will be offered secure employment, high-quality supervision, and room to grow, both as a researcher and as a person. Do you want to build the next generation of electronics? Europe is racing to regain ground in semiconductor technology, and chiplets – several small dies packaged together into one working system – are one of the keys. The hard part is not the dies, but the interconnects between them. We are looking for a PhD student to create those interconnects in a fully additive way: laser micromachining, selective metallisation and new photosensitive materials, without high-temperature sintering and with minimal material waste. The work is experimental, carried out in our own laboratories together with European industry. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning, and works on electronics from material and process to a finished, verified component. We work in close cooperation with companies such as Bosch, Ericsson, Volvo, Infineon, Boliden, LKAB and SKF, with leading international universities, and in large European research programmes such as Arrowhead Tools, coordinated by LTU. This position belongs to our growing work on additive manufacturing for chiplet packaging, where EISLAB is responsible for the packaging part within a European consortium. Subject description Cyber-Physical Systems focuses on integrated software and application architectures with implementations of massively distributed embedded systems that interact with each other and their environment to enable secure, goal-driven, autonomous and evolvable solutions. Project description E2PACKMAN is a €93.7 million European flagship project building the next generation of semiconductor packaging – the part of chip making that decides how small, fast and powerful electronics can get. You will join a team that works with 60 partners from 13 countries, including Europe's leading semiconductor manufacturers and research institutes, to develop new materials, equipment and processes and prove them out on real industrial use cases. EISLAB is responsible for the packaging technology developed here. Duties Your main tasks are to: develop additive techniques for patterning micro- and nanoscale metal interconnects in multilayer devices identify and optimise polymers and photosensitive materials for additive manufacturing establish femtosecond or picosecond laser micro-drilling and selective metallisation for high-aspect-ratio vertical interconnects characterise the results (SEM, AFM, XCT, optical microscopy) for geometric accuracy, durability and interfacial strength validate scalability and sustainability: less material waste, better energy efficiency, no high-temperature sintering, compatibility with industrial HDI packaging You will publish in scientific journals, present at international conferences and collaborate with academic and industrial partners across Europe as well as with researchers and PhD students at LTU. The work is largely independent, but you will receive continuous supervision. As a PhD student you work towards a doctoral degree in accordance with the Swedish Higher Education Ordinance: most of your time is devoted to research, and you also take doctoral courses. Both are planned and documented in your individual study plan. Qualifications We are looking for an analytical and motivated colleague who can drive experimental research both independently and in a team. Requirements: A master's degree (or equivalent) in electrical engineering, electronics, materials science, nanotechnology, microelectronics, engineering physics or a related field Experience of experimental laboratory work in micro- or nanofabrication, materials processing or electronics manufacturing Strong analytical and problem-solving skills and the ability to work in interdisciplinary teams Excellent spoken and written English Desirable: Micro- and nanofabrication techniques such as laser direct writing, electroless plating, photolithography or additive manufacturing Characterisation tools such as XCT, SEM or AFM CAD and simulation tools such as CLEWIN, ANSYS or COMSOL Electronics packaging, HDI substrates or chiplet architectures Cleanroom experience Do you not meet every desirable point? Apply anyway. We do not expect anyone to tick every box – much of this expertise is built during the doctoral studies themselves. For further information about a specific subject see http://www.ltu.se/research/Utbildning-pa-forskarniva/Studieplaner/Allmanna-studieplaner-Teknisk-fakultetsnamnd?l=en Further information Employment as a PhD student is limited to 4 years, teaching and other department duties may be added with max 20%. Placement: Luleå. Starting: by arrangement. For each position, a preliminary https://www.ltu.se/en/about-the-university/work-with-us/applying-for-a-job#h-Informationonpaytransparency is provided based on the requirements, responsibilities, and market conditions associated with the role. For further information about the position, please contact Dr. Shailesh Singh Chouhan, +46 920-49 2165, mailto:[email protected] https://www.ltu.se/en/about-the-university/work-with-us/applying-for-a-job#h-Tradeunioncontacts In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence. Application We prefer that you apply for this position by clicking on the apply button below. The application should include a CV, personal letter and copies of verified diplomas from high school and universities. Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish. Closing date for applications: 31 October 2026 Reference number: 4728-2026
PhD Student in Cyber-Physical Systems
Are you ready to take the next step in your academic journey? As a PhD student with us, you'll work closely with leading researchers in a strong and international research environment, with access to advanced laboratory equipment and excellent funding opportunities. You'll be offered secure employment, high-quality supervision, and room to grow, both as a researcher and as a person. Do you want to be part of building the next generation of electronics? Europe is working hard to quickly reclaim lost ground in semiconductor technology, and chiplets – multiple small semiconductor chips encapsulated together into a functioning system – are one of the keys. The challenge isn't the chips themselves, but the connections between them. We're looking for a PhD student to create these connections in a completely additive way: laser micromachining, selective metallization, and new photosensitive materials, without sintering at high temperatures and with minimal material waste. The work is experimental, carried out in our own laboratories, and done together with European industry. The EISLAB division at Luleå University of Technology conducts research on electronic systems, sensor systems, cyber-physical systems, the Internet of Things, and machine learning, and works with electronics all the way from materials and processes to a finished, verified component. We collaborate closely with companies such as Bosch, Ericsson, Volvo, Infineon, Boliden, LKAB, and SKF, with leading international universities, and in major European research programs, such as Arrowhead Tools, which is coordinated by LTU. This position is part of our growing work on additive manufacturing for chiplet packaging, where EISLAB is responsible for the packaging component within a European consortium. Subject Description Cyber-physical systems involve integrated software and application architectures with large-scale distributed embedded systems that interact with each other and with their environment to enable secure, goal-driven, autonomous, and scalable solutions. Project Description E2PACKMAN is a European flagship project worth €93.7 million that is developing the next generation of semiconductor packaging – the part of chip manufacturing that determines how small, fast, and powerful electronics products can become. You'll become part of a team working together with 60 partners from 13 countries, including Europe's leading semiconductor manufacturers and research institutes, to develop new materials, new equipment, and new processes and test them in real industrial applications. EISLAB is responsible for the packaging technology being developed here. Main Responsibilities Your main responsibilities will be to: • develop additive methods for patterning metal interconnections at micro- and nanoscale in multilayer components • identify and optimize polymers and photosensitive materials for additive manufacturing • establish micro-drilling with femtosecond or picosecond lasers and selective metallization for vertical high aspect ratio interconnections • characterize results (SEM, AFM, XCT, optical microscopy) with respect to geometric accuracy, durability, and adhesion at interfaces • validate scalability and sustainability: reduced material waste, better energy efficiency, no high-temperature sintering, and compatibility with industrial HDI packaging You'll publish in scientific journals, present at international conferences, and collaborate with academic and industrial partners in Europe as well as with researchers and PhD students at LTU. The work is largely independent, but you'll receive continuous supervision. As a PhD student, you'll work toward a doctoral degree according to the objectives in the Higher Education Ordinance: most of your time will be spent on research, and you'll also take courses as part of your doctoral studies. Both research and courses are planned and documented in your individual study plan. Qualifications We're looking for someone who is analytical and motivated and can drive experimental research both independently and as part of a team. Requirements: • Master's degree in engineering or equivalent (e.g., Civilingenjör) in electrical engineering, electronics, materials science, nanotechnology, microelectronics, engineering physics, or a related field • Experience with experimental laboratory work in micro- or nanofabrication, materials processing, or electronics manufacturing • Strong analytical and problem-solving skills and the ability to work in interdisciplinary teams • Excellent English language skills, both spoken and written Meritorious: • Micro- and nanofabrication techniques such as laser direct writing, electroless plating, photolithography, or additive manufacturing • Characterization tools such as XCT, SEM, or AFM • CAD and simulation tools such as CLEWIN, ANSYS, or COMSOL • Electronics packaging, HDI substrates, or chiplet architectures • Experience working in cleanrooms Don't meet all the merits? Apply anyway. We don't expect anyone to have experience with everything – much of the expertise is built up during doctoral studies. For more information on the respective topics, see http://www.ltu.se/research/Utbildning-pa-forskarniva/Studieplaner/Allmanna-studieplaner-Teknisk-fakultetsnamnd?l=en Additional Information Employment as a PhD student is limited to four years. Teaching and other institutional work may be added up to 20%. Location: Luleå. Start date: by agreement. For each position, a preliminary salary is stated based on the requirements, responsibilities, and market conditions associated with the role. For more information about the position, contact Dr. Shailesh Singh Chouhan, +46 920-49 2165, [email protected] https://www.ltu.se/en/about-the-university/work-with-us/applying-for-a-job#h-Tradeunioncontacts Where there are different interpretations of the English and Swedish versions of this advertisement, the Swedish version takes precedence. Application We prefer that you apply for the position using the application button below. Your application should include a CV, cover letter, and copies of verified certificates from upper secondary school and university. Mark your application with the reference number below. The application, including certificates, should be written in Swedish or English. Application Deadline: October 31, 2026 Reference Number: 4728-2026
PhD Student in Building Materials
Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely with leading researchers in a strong, international research environment, with access to advanced laboratory equipment and solid funding opportunities. You will be offered secure employment, high-quality supervision, and room to grow, both as a researcher and as a person. The research subject of Building Materials (https://www.ltu.se/research/subjects/Byggmaterial?l=en) consists of 15 people. The subject focuses on the development of sustainable materials and production technologies for the construction industry, as well as on ice and arctic conditions-related research and education. Subject description Building Materials includes sustainable building materials and their application technologies, recycling and reuse, and applied building physics, especially focusing on Arctic conditions. Project description This research explores how mining waste, such as tailings and waste rock, can be reused rather than sent to landfill. Sweden, one of Europe's largest metal producers, generates large volumes of such waste each year, which can create environmental problems due to its reactive nature. This project aims to develop innovative ways to reuse this material in cement-based products, helping to reduce environmental impact and support more sustainable, resource-efficient mining. Duties As a PhD student, you are expected to perform both experimental and theoretical work within your research studies as well as communicate your results at national and international conferences and in scientific journals. The tasks will include laboratory tests, analysis of data, and modeling. Qualifications To be eligible, you must have a master's degree in materials science or chemistry. You should have basic knowledge of building materials and be fluent in English. The following work or research experience will be an advantage: experience with cementitious materials, XRD with Rietveld analysis, SEM, TG, DSC, micro-CT, particle size analysis, calorimetry, and synchrotron experimental measurement techniques. Knowledge of AI-based and machine-learning methods is also beneficial. For further information about a specific subject see http://www.ltu.se/research/Utbildning-pa-forskarniva/Studieplaner/Allmanna-studieplaner-Teknisk-fakultetsnamnd?l=en Further information Employment as a PhD student is limited to 4 years; teaching and other department duties may be added with max 20%. Placement: Luleå. Starting: as soon as possible but not later than January 1, 2027 For each position, a preliminary salary range is provided based on the requirements, responsibilities, and market conditions associated with the role. https://www.ltu.se/en/about-the-university/work-with-us/applying-for-a-job#h-Informationonpaytransparency For further information about the position, please contact Senior Lecturer Magdalena Rajczakowska, (+46)76 128 83 34, [email protected] https://www.ltu.se/en/about-the-university/work-with-us/applying-for-a-job#h-Tradeunioncontacts In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence. Application We prefer that you apply for this position by clicking on the apply button below. The application should include a CV, personal letter and copies of verified diplomas from high school and universities. Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish. Recruitment communication and possible interviews will be done in English only. Closing date for applications: September 30, 2026 Reference number: 4229-2026
PhD Student in Building Materials
Are you ready to take the next step in your academic journey? As a PhD student with us, you will work closely with leading researchers in a strong and international research environment, with access to advanced laboratory equipment and good funding opportunities. You are offered secure employment, high-quality supervision, and room to grow, both as a researcher and as a person. The research subject Building Materials (https://www.ltu.se/forskning/forskningsamnen/byggmaterial) consists of 15 people. The subject focuses on developing sustainable materials and production technologies for the construction industry, as well as research and education related to ice and arctic conditions. Subject Description Building Materials includes sustainable building materials and their application, recycling and reuse, as well as applied building physics, with particular focus on arctic conditions. Project Description This research investigates how mining waste, such as enrichment sand and waste rock, can be reused rather than deposited in landfills. Sweden, one of Europe's largest metal producers, generates large volumes of such waste each year, which can create environmental problems due to its reactive nature. This project aims to develop innovative ways to reuse this material in cement-based products, contributing to reducing environmental impact and supporting more sustainable and resource-efficient mining. Responsibilities As a PhD student, you are expected to perform both experimental and theoretical work within your research studies and communicate your results at national and international conferences as well as in scientific journals. Tasks include laboratory testing, data analysis, and modeling. Qualifications To be eligible, you must have a master's degree in Materials Science or Chemistry. You should have basic knowledge of building materials and be fluent in English. The following work or research experience is meritorious: experience with cement-based materials, XRD with Rietveld analysis, SEM, TG, DSC, micro-CT, particle size analysis, calorimetry, and experimental synchrotron measurement techniques. Knowledge of AI-based and machine learning methods is also meritorious. For additional information on specific PhD education, see http://www.ltu.se/research/Utbildning-pa-forskarniva/Studieplaner/Allmanna-studieplaner-Teknisk-fakultetsnamnd Information Employment as a PhD student is time-limited to 4 years; teaching and other institutional duties may be added up to 20% of full-time. Place of work: Luleå. Intended start date: as soon as possible but no later than January 1, 2027. For each position, a preliminary salary range is specified based on the position's requirements, responsibilities, and market conditions. https://www.ltu.se/om-universitetet/arbeta-hos-oss/att-soka-en-anstallning#h-Informationomlonetransparens For additional information, you are welcome to contact Professor Magdalena Rajczakowska, 076-128 83 34, [email protected] https://www.ltu.se/om-universitetet/arbeta-hos-oss/att-soka-en-anstallning#h-Fackligakontaktpersoner Application We prefer that you apply for the position using the application button below where you attach a cover letter and CV/merit list and copies of verified diplomas. Please mark your application with the reference number below. Both the application and diplomas must be written in Swedish or English. Recruitment communication and any interviews will only be conducted in English. Deadline for applications: September 30, 2026 Reference number: 4229-2026
PhD Student in Applied Geophysics
Are you ready to take the next step in your academic journey? As a PhD student with us, you'll work closely with leading researchers in a strong and international research environment, with access to advanced laboratory equipment and excellent funding opportunities. You'll be offered a secure position, high-quality supervision, and space to grow, both as a researcher and as a person. Luleå University of Technology is launching an interdisciplinary research project together with the Geological Institute and several Swedish industrial partners on the development of natural hydrogen resources and underground hydrogen storage. We are seeking a highly motivated PhD student in applied geophysics who wants to contribute to this exciting project, which offers a unique opportunity to work with leading researchers and industrial partners to address one of the most important challenges in the energy transition. As a PhD student, you'll receive excellent supervision, access to advanced research resources, and opportunities to develop into an internationally recognized researcher. Subject Description Applied geophysics encompasses the study of how the laws and methods of physics can be used to understand the properties of bedrock and unconsolidated deposits. This includes the development and application of methods for exploration and investigation of natural resources such as mineral deposits and water, as well as for environmental and infrastructure-related issues. Project Description For this PhD position, the research will focus on evaluating the potential for natural hydrogen production in Norrbotten County in Sweden using an integrated approach that combines field measurements and numerical modeling. Your tasks will be to: - process and jointly model available regional magnetotelluric (MT), gravimetric, and magnetic data to develop an initial subsurface model for mapping in order to identify areas with source rocks that have potential for H₂; - collect and process new MT data and electromagnetic field data from controlled sources (CSEM) in selected areas; - perform integrated 3D modeling of MT, CSEM, and gravitational or magnetic data from selected areas to characterize potential systems for natural hydrogen production; - conduct model verification and site selection with optimal potential for hydrogen production. The project is carried out in close collaboration between Luleå University of Technology, the Geological Institute, and several Swedish industrial partners. The person hired will work in close collaboration with researchers specializing in rock mechanics, underground facilities, geophysics, and geology, while regularly maintaining contact with industry stakeholders. Duties As a PhD student, you will: - conduct independent research combining field surveys and numerical modeling of multimodal data (taking into account the complexity and anisotropy of the geological structure); - develop methods to evaluate and prioritize natural hydrogen resources in Norrbotten; - publish research results in leading international scientific journals; - present research at national and international conferences; - complete the courses required for a PhD degree. Most of your working time will be devoted to PhD research. Depending on the department's needs, you may also have the opportunity to gain experience in teaching and supervision. You will become a member of the Network of Young Scientists (NYS) within CH2ESS, which organizes workshops, field excursions, interdisciplinary networking activities, and professional development events. Qualifications Applicants must hold a Master's degree (or equivalent) in one of the following fields: - Geophysics - Physics (with a focus on electromagnetism or computational physics) - or a closely related subject area. A driver's license is a requirement because the project involves geophysical fieldwork. Experience with geophysical fieldwork is an advantage. A strong background in numerical modeling of geophysical data is also beneficial. The person hired should demonstrate: - strong analytical and problem-solving skills; - enthusiasm for scientific research; - ability to work both independently and in collaboration with interdisciplinary teams; - excellent communication skills in written and spoken English. Knowledge of Swedish is considered an advantage as some fieldwork, contacts with industry, and teaching activities may require communication in Swedish, but it is not a mandatory requirement. For additional information about PhD education in general, see: http://www.ltu.se/research/Utbildning-pa-forskarniva/Studieplaner/Allmanna-studieplaner-Teknisk-fakultetsnamnd Information Employment as a PhD student is fixed-term for 4 years; teaching and other institutional duties may be added up to 20% of full-time. Location: Luleå. Expected start date for the position is October–December 2026. For each position, a preliminary salary range is stated based on the position's requirements, responsibilities, and market conditions: https://www.ltu.se/om-universitetet/arbeta-hos-oss/att-soka-en-anstallning#h-Informationomlonetransparens For further information, please contact: Professor Maxwell Meju, 0920-492261, [email protected] Assistant Professor Maxim Smirnov, 073-0834998, [email protected] https://www.ltu.se/om-universitetet/arbeta-hos-oss/att-soka-en-anstallning#h-Fackligakontaktpersoner Application We prefer that you apply for the position using the application button below, where you attach a cover letter, CV/list of qualifications, and copies of verified diplomas. Please mark your application with the reference number below. Both the application and diplomas must be written in Swedish or English. Application Deadline: September 30, 2026 Reference Number: 4684–2026
PhD Student in Applied Geophysics
Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely with leading researchers in a strong, international research environment, with access to advanced laboratory equipment and solid funding opportunities. You will be offered secure employment, high-quality supervision, and room to grow, both as a researcher and as a person. Luleå University of Technology, together with the Geological Survey of Sweden and several Swedish industrial partners, is launching a multidisciplinary research project on natural hydrogen resource development and underground hydrogen storage. We are seeking a highly motivated PhD candidate in Applied Geophysics to contribute to this exciting project which offers a unique opportunity to work with leading researchers and industry partners to address one of the key challenges of the energy transition. As a doctoral student, you will receive excellent supervision, access to advanced research facilities, and opportunities to develop into an internationally recognized researcher. Subject description Applied Geophysics includes studies of how the laws and methods of physics can be used to understand the properties of bedrock and soil deposits. This includes development and applications of methods for exploration and investigation of natural resources such as mineral deposits and water, as well as investigation of environmental and infrastructural related issues. Project description For this PhD position, the research will focus on evaluating the potential of natural hydrogen production in Norrbotten County in Sweden using an integrated field and numerical modeling approach. Your tasks are to: - reprocess and jointly model the available regional magnetotelluric (MT), gravity and magnetic data to develop an initial model for screening the subsurface to select areas with H2-potential source rocks; - acquire and process new MT and controlled-source electromagnetic (CSEM) field data in targeted areas; - perform integrated 3D modelling of MT, CSEM and gravity or magnetic data from targeted areas to characterise potential natural hydrogen production systems; - perform model verification and selection of sites with optimum potential for hydrogen generation. The project is carried out in close collaboration between Luleå University of Technology, the Geological Survey of Sweden, and several Swedish industrial partners. The successful candidate will work closely with researchers specializing in rock mechanics, underground construction, geophysics and geology, while interacting regularly with industrial stakeholders. Duties As a PhD student, you will: - conduct independent research combining field investigations and numerical modelling of multimodal data (taking into account subsurface structural complexity and anisotropy); - develop methodologies for evaluating and ranking natural hydrogen prospectivity in Norrbotten region; - publish research findings in leading international scientific journals; - present research at national and international conferences; - complete doctoral coursework required for the degree. The majority of your working time will be devoted to doctoral research. Depending on departmental needs, you may also have the opportunity to gain experience in teaching and supervision. You will become a member of the Network of Young Scientists (NYS) within CH2ESS, which organizes workshops, field excursions, interdisciplinary networking activities and professional development events. Qualifications Applicants must hold an MSc degree (or equivalent) in one of the following areas: - Geophysics - Physics (with specialization in electromagnetism or computational physics) - or a closely related discipline. A driving license is essential since geophysical fieldwork is required in this project. Experience in geophysical fieldwork is an advantage. A good background in numerical modelling of geophysical data is also an advantage. The successful candidate should demonstrate: - strong analytical and problem-solving skills; - enthusiasm for scientific research; - ability to work independently as well as collaboratively in multidisciplinary teams; - excellent communication skills in written and spoken English. Knowledge of Swedish is considered an advantage because some fieldwork, industrial interaction and teaching activities may require communication in Swedish, but it is not a mandatory requirement. For further information about a specific subject, see: http://www.ltu.se/research/Utbildning-pa-forskarniva/Studieplaner/Allmanna-studieplaner-Teknisk-fakultetsnamnd?l=en Further information Employment as a PhD student is limited to 4 years, teaching and other department duties may be added with max 20%. Placement: Luleå. The expected start date for the position is October-December 2026. For each position, a preliminary salary range is provided based on the requirements, responsibilities, and market conditions associated with the role https://www.ltu.se/en/about-the-university/work-with-us/applying-for-a-job#h-Informationonpaytransparency For further information, please contact: Professor Maxwell Meju, +46(0) 920-492261, [email protected] Associate Professor Maxim Smirnov, +46(0) 73-0834998, [email protected] https://www.ltu.se/en/about-the-university/work-with-us/applying-for-a-job#h-Tradeunioncontacts In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence. Application We prefer that you apply for this position by clicking on the apply button below. The application should include a CV, personal letter and copies of verified diplomas from high school and universities. If available, please include documentation of English language proficiency (e.g. TOEFL, IELTS, Cambridge English, or equivalent). Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish. Closing date for applications: September 30, 2026 Reference number: 4684–2026
PhD Student in Robotics and Artificial Intelligence
Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely with leading researchers in a strong, international research environment, with access to advanced laboratory equipment and solid funding opportunities. You will be offered secure employment, high-quality supervision, and room to grow, both as a researcher and as a person. https://www.ltu.se/research/subjects/RoboticsAI?l=en subject, RAI, at the Department of Computer Science and Electrical and Space Engineering at Luleå University of Technology, is now looking for a PhD student to contribute to our growing activities. The RAI team is conducting fundamental research in all aspects of robotics with a specific focus on aerial, space and bioinspired robotics. Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability of robots to interact with the surrounding environment and humans during the execution of specific tasks. Project description The vision of RAI is aiming to close the gap from theory to real life, while the team has strong expertise in field robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event-driven re-planning, and autonomous semantic-aware inspection of complex infrastructure. The RAI team has strong European and National participation in multiple R&D&I projects. Duties As a PhD student you will perform research with substantial theoretical and experimental components that should be published in peer-reviewed major international journals and at major conferences. The position will include supervision of MSc students and assistance in grant applications from research funding agencies/councils, the EU framework program or industry. The position might also involve teaching assistance, seminars and presentations. You will be working in the field of robotic autonomy, and all activities will be linked with National, European and worldwide R&D Projects. The research topic is in Robotics and Artificial Intelligence. More specifically, the position will involve dense research activities in designing, experimenting and theoretical development, with the following research areas providing a template for relevant directions. Research Topics: Long-term Autonomy in Uncertain Environments a. Planning and Reasoning under Uncertainty - Decision-making under uncertainty - Decentralized planning and coordination for multi-agent systems b. Mapping and Scene Representations - Dynamic Scene Graphs modelling uncertainty - Unified situational awareness for multi-robot systems in large and degraded environments Qualifications To be qualified for the position, you must have an MSc degree in Electrical or Mechanical Engineering, Computer Science, or a related subject. Proficiency in C++, Python, and ROS 2 is required. Strong scientific skills with proven excellence in real-life experimentation, as well as very good communication skills, are considered a strong plus. You will represent the group on different occasions, both in Sweden and worldwide, so very good command of English is a must. For further information about a specific subject see http://www.ltu.se/research/Utbildning-pa-forskarniva/Studieplaner/Allmanna-studieplaner-Teknisk-fakultetsnamnd?l=en Further information Employment as a PhD student is limited to 4 years, teaching and other department duties may be added with max 20%. Placement: Luleå. Starting: According to agreement. For further information please contact: George Nikolakopoulos, Chaired Professor, (+46 )920-49 1298 mailto:[email protected] Union representatives: SACO-S Diana Chroneer, (+46 )920-49 2037 mailto:[email protected] OFR-S Marika Vesterberg, (+46)920-49 1792 mailto:[email protected] In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence. Application We prefer that you apply for this position by clicking the apply button below. The application should include a CV with a full description of all the scientific merits of the candidate, motivation letter, list of 2 persons that could provide recommendations for the candidate and copies of verified diplomas from high school and universities. The diplomas must be written in Swedish or English. Your application must be written in Swedish or English. Mark your application with the reference number below. Final day to apply: 1 October, 2026 Reference number: 4646-2026
PhD Student in Robotics and Artificial Intelligence
Are you ready to take the next step in your academic journey? As a PhD student with us, you will work closely with leading researchers in a strong and international research environment, with access to advanced laboratory equipment and good funding opportunities. You are offered secure employment, high-quality supervision, and room to grow, both as a researcher and as a person. https://www.ltu.se/research/subjects/RoboticsAI?l=en, RAI, at the Department of System and Space Engineering at Luleå University of Technology is now seeking a PhD student to contribute to our growing activities. The RAI team conducts fundamental and principal research in all aspects of robotics with a specific focus on aerial, space, and bio-inspired robotics. Subject Description Robotics and artificial intelligence aims to develop new robotic systems characterized by advanced autonomy to enhance robots' ability to interact with the environment and people while performing specific tasks. Project Description RAI's fundamental vision is to narrow the gap between theory and reality, and the team has a strong background in field robotics. Specific application areas we focus on are long-term autonomous missions in large and uncertain environments, semantic task planning with foundation models, agentic task decomposition and event-driven replanning, and autonomous semantically-aware inspection of complex infrastructure. The RAI team has strong European and national participation in several R&D&I projects. Job Responsibilities As a PhD student, you will conduct research with significant theoretical and experimental components to be published in peer-reviewed internationally recognized journals and at major conferences. The position includes supervision of theses and support in applications for funding from research financing agencies/councils, the EU Framework Programme, or industry. The position may also include teaching assistance, seminars, and presentations. You will work in the field of robot autonomy and all activities will be linked to national, European, and global R&D projects. The PhD position will involve intensive research activities in design, experimentation, and theoretical development. Research Areas: Long-term autonomy in uncertain environments a. Agentic planning and reasoning - Semantic task planning with foundation models - Task decomposition based on foundation models - Event-driven task replanning b. Autonomous inspection planning - Semantically-aware path planning - Multi-robot systems in large and degraded environments Qualifications To be qualified for the position, you must have a Master's degree in electrical engineering or mechanical engineering, computer science, or another relevant field. Strong knowledge of C++, Python, and ROS 2 is a requirement. Good scientific skills with proven proficiency in experimental research and excellent communication ability are a plus. You will represent the group in various contexts, both in Sweden and abroad, therefore excellent knowledge of English is a requirement. For additional information about specific PhD education, see http://www.ltu.se/research/Utbildning-pa-forskarniva/Studieplaner/Allmanna-studieplaner-Teknisk-fakultetsnamnd Information Employment as a PhD student is limited to 4 years; teaching and other institutional duties may be added up to 20% of full-time. Place of work Luleå and start date by agreement. For further information, please contact: George Nikolakopoulos, Professor and Subject Representative, 0920-49 1298 mailto:[email protected] Union Representatives: SACO-S Diana Chroneer, 0920-49 2037 mailto:[email protected] OFR-S Marika Vesterberg, 0920-49 1721 mailto:[email protected] Application We prefer that you apply for the position using the application button below. Your application should include a CV with a complete description of your scientific qualifications, a cover letter, at least two references who can provide recommendations, and copies of verified certificates from secondary school and university. The certificates should be written in Swedish or English. The application must be written in Swedish or English. Please mark your application with the reference number below. Application Deadline: October 1, 2026 Reference Number: 4647-2026
PhD Student in Robotics and Artificial Intelligence
Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely with leading researchers in a strong, international research environment, with access to advanced laboratory equipment and solid funding opportunities. You will be offered secure employment, high-quality supervision, and room to grow, both as a researcher and as a person. https://www.ltu.se/research/subjects/RoboticsAI?l=en subject, RAI, at the Department of Computer Science and Electrical and Space Engineering at Luleå University of Technology, is now looking for a PhD student to contribute to our growing activities. The RAI team is conducting fundamental research in all aspects of robotics with a specific focus on aerial, space and bioinspired robotics. Subject Description Robotics and artificial intelligence aim to develop novel robotic systems characterized by advanced autonomy to improve robots' ability to interact with the surrounding environment and humans during the execution of specific tasks. Project Description The RAI vision aims at bridging the gap from theory to real life, while the team has strong expertise in field robotics. Specific application areas of focus include long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event-driven re-planning, and autonomous semantic-aware inspection of complex infrastructure. The RAI team has strong European and national participation in multiple R&D&I projects. Duties As a PhD student you will perform research with substantial theoretical and experimental components that should be published in peer-reviewed major international journals and at major conferences. The position will include supervision of MSc students and assistance in grant applications from research funding agencies/councils, the EU framework program or industry. The position might also involve teaching assistance, seminars and presentations. You will be working in the field of robotic autonomy, and all activities will be linked with national, European and worldwide R&D projects. The research topic is in Robotics and Artificial Intelligence. More specifically, the position will involve dense research activities in designing, experimenting and theoretical development, with the following research areas providing a template for relevant directions: Long-term Autonomy in Uncertain Environments Agentic Planning and Reasoning Semantic Mission Planning with Foundation Models Foundation models based task decomposition Event-driven task re-planning Autonomous Inspection Planning Semantic-aware Path Planning Multi-robot systems in large and degraded environments Qualifications To be qualified for the position, you must have an MSc degree in Electrical or Mechanical Engineering, Computer Science, or a related subject. Proficiency in C++, Python, and ROS 2 is required. Strong scientific skills with proven excellence in real-life experimentation, as well as very good communication skills, are considered a strong plus. You will represent the group on different occasions, both in Sweden and worldwide, so very good command of English is a must. For further information about a specific subject see http://www.ltu.se/research/Utbildning-pa-forskarniva/Studieplaner/Allmanna-studieplaner-Teknisk-fakultetsnamnd?l=en Further Information Employment as a PhD student is limited to 4 years; teaching and other department duties may be added with max 20%. Placement: Luleå. Starting: According to agreement. For further information please contact: George Nikolakopoulos, Chaired Professor, (+46) 920-49 1298 mailto:[email protected] Union Representatives: SACO-S Diana Chroneer, (+46) 920-49 2037 mailto:[email protected] OFR-S Marika Vesterberg, (+46) 920-49 1792 mailto:[email protected] In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence. Application We prefer that you apply for this position by clicking the apply button below. The application should include a CV with a full description of all scientific merits of the candidate, a motivation letter, a list of 2 persons who could provide recommendations for the candidate, and copies of verified diplomas from high school and universities. The diplomas must be written in Swedish or English. Your application must be written in Swedish or English. Mark your application with the reference number below. Final day to apply: 1 October 2026 Reference number: 4647-2026
PhD Student in Robotics and Artificial Intelligence
Are you ready to take the next step in your academic journey? As a PhD student with us, you will work closely with leading researchers in a strong and international research environment, with access to advanced laboratory equipment and good funding opportunities. You are offered secure employment, high-quality supervision, and room to grow, both as a researcher and as a person. Robotics and Artificial Intelligence, RAI, at the Department of Systems and Space Engineering at Luleå University of Technology is now seeking a PhD student to contribute to our growing activities. The RAI team conducts fundamental and principled research in all aspects of robotics with a specific focus on aerial, space, and bio-inspired robotics. Subject Description Robotics and Artificial Intelligence aims to develop new robotic systems characterized by advanced autonomy to enhance robots' ability to interact with their environment and people when performing specific tasks. Project Description RAI's vision is to bridge the gap between theory and reality, and the team has strong expertise in field robotics. Specific application areas in focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agent-based task decomposition and event-driven replanning, and autonomous semantically-aware inspection of complex infrastructure. The RAI team has strong European and national participation in several R&D&I projects. Work Tasks As a PhD student, you will conduct research with substantial theoretical and experimental components to be published in leading international peer-reviewed journals and at major conferences. The position includes supervision of degree projects and support in applications for funding from research funding agencies/councils, EU framework programs, or industry. The position may also include teaching assistance, seminars, and presentations. You will work in the field of robotic autonomy, and all activities will be linked to national, European, and global R&D projects. The PhD position will involve extensive research activities in design, experimentation, and theoretical development. Research Areas: Long-term autonomy in uncertain environments a. Planning and reasoning under uncertainty Decision-making under uncertainty Decentralized planning and coordination for multi-agent systems b. Mapping and scene representations Dynamic scene graphs modeling uncertainty Unified situation awareness for multi-robot systems in large and degraded environments Qualifications To be qualified for the position, you must have a Master's degree in electrical engineering, mechanical engineering, computer science, or another relevant field. Strong knowledge of C++, Python, and ROS 2 is required. Strong scientific skills with demonstrated excellence in experimental research and very good communication skills are highly meriting. You will represent the group in various contexts, both in Sweden and abroad, therefore very good knowledge of English is a requirement. For additional information about specific doctoral education, see http://www.ltu.se/research/Utbildning-pa-forskarniva/Studieplaner/Allmanna-studieplaner-Teknisk-fakultetsnamnd Information Employment as a PhD student is time-limited to 4 years; teaching and other institutional service may be added up to 20 %. Place of service Luleå and start date by agreement. For further information, please contact: George Nikolakopoulos, Professor and Subject Representative, 0920-49 1298 mailto:[email protected] Labor Union Representative: SACO-S Diana Chroneer, 0920-49 2037 mailto:[email protected] OFR-S Marika Vesterberg, 0920-49 1721 mailto:[email protected] Application We prefer that you apply for the position using the application button below. Your application should contain a CV with a complete description of your scientific qualifications, a personal letter, a list of 2 references, and copies of verified certificates from secondary and university education. The certificates must be written in Swedish or English. Your application must be written in Swedish or English. Mark your application with the reference number below. Application Deadline: October 1, 2026 Reference Number: 4646-2026
Doctoral Candidate in Mining and Rock Engineering
Doctoral Candidate in Mining and Rock Engineering with a focus on underground hydrogen storage Are you ready to take the next step in your academic journey? As a doctoral candidate with us, you will work closely with leading researchers in a strong and international research environment, with access to advanced laboratory equipment and excellent funding opportunities. You will be offered secure employment, high-quality supervision, and room to grow, both as a researcher and as a person. Luleå University of Technology is launching an interdisciplinary research project together with the Geological Survey of Sweden (SGU) and several Swedish industrial partners on natural hydrogen resources and underground hydrogen storage. We are seeking a motivated doctoral candidate in Mining and Rock Engineering who wants to contribute to interdisciplinary research in rock engineering, geophysics, geology, and energy systems. The project offers a unique opportunity to work together with leading researchers and industrial partners while contributing to solving one of the central technical challenges of the energy transition. As a doctoral candidate at Luleå University of Technology, you will receive qualified supervision, access to advanced research infrastructure, and excellent opportunities to develop into an internationally recognized researcher. Field Description Mining and Rock Engineering encompasses mining engineering, rock engineering, and rock mechanics, including rock mass properties, tunnel construction technology, design and dimensioning of mines and rock facilities, and planning and production processes related to both mining operations and infrastructure development. Project Description For this doctoral position in Mining and Rock Engineering, the research will focus on developing engineered underground hydrogen storage in lined rock caverns (LRC) constructed in hard crystalline rock. The research includes: - developing coupled thermo-hydro-mechanical numerical models to simulate injection, storage, and extraction of hydrogen; - evaluating how operational loads affect the integrity of steel liners, concrete, and surrounding rock; - developing reference designs for lined rock caverns with various storage capacities and scaling methods; - assessing site-specific performance under different geological conditions and providing recommendations for the design of future demonstration projects. The project is carried out in close collaboration between Luleå University of Technology, the Geological Survey of Sweden (SGU), and several Swedish industrial partners. The hired doctoral candidate will work closely with researchers specializing in rock mechanics, underground construction, geophysics, and geology, and will have regular contact with industrial stakeholders. Duties As a doctoral candidate you will: - conduct independent research through numerical modeling, laboratory experiments, and field investigations; - participate in site investigations and data collection in northern Sweden; - develop methods for evaluating suitable storage sites and optimizing the design of lined rock caverns; - publish research results in leading international scientific journals; - present research at national and international conferences; - complete the research education courses required for a doctoral degree. The majority of your working time will be devoted to research education. Depending on the department's needs, you may also have the opportunity to gain experience in teaching and supervision. You will become a member of the Network of Young Scientists (NYS) within CH2ESS, which organizes workshops, field excursions, interdisciplinary networking activities, and professional development activities. Qualifications For eligibility, a master's degree or equivalent is required in one of the following areas: - Rock Mechanics - Civil Engineering (with a focus on geotechnical engineering or underground construction) - Mining Engineering - Strength of Materials - Other related fields. Good knowledge of numerical modeling of rock and underground structures is required. Experience with finite element, finite difference, or discrete element methods (for example FLAC3D, 3DEC, Abaqus, COMSOL, or similar software) is advantageous. You should have: - strong analytical ability and problem-solving skills; - a strong interest in scientific research; - the ability to work both independently and together with others in interdisciplinary teams; - very good ability to communicate in speech and writing in English. Knowledge of Swedish is advantageous as some field work, industrial contacts, and teaching activities may require communication in Swedish, but Swedish is not a mandatory requirement. For additional information about specific doctoral education, see http://www.ltu.se/research/Utbildning-pa-forskarniva/Studieplaner/Allmanna-studieplaner-Teknisk-fakultetsnamnd Information Employment as a doctoral candidate is limited to 4 years, with teaching and other institutional duties up to 20% of full-time work. Place of work: Luleå. Planned start date for employment is October–December 2026. For each position, a preliminary salary range https://www.ltu.se/om-universitetet/arbeta-hos-oss/att-soka-en-anstallning#h-Informationomlonetransparens is indicated based on the position's requirements, responsibilities, and market conditions. For further information, please contact: Professor Ping Zhang, 0920-49 3016, [email protected] Professor Daniel Johansson, 0920-49 2361, [email protected] Trade union representatives https://www.ltu.se/om-universitetet/arbeta-hos-oss/att-soka-en-anstallning#h-Fackligakontaktpersoner Application We prefer that you apply for the position using the application button below, where you attach a cover letter as well as a CV/list of qualifications and copies of verified diplomas. If available, please also attach documentation that demonstrates your English language skills (for example TOEFL, IELTS, Cambridge English, or equivalent). Please mark your application with the reference number below. Both the application and diplomas must be written in Swedish or English. Deadline for application: September 20, 2026 Reference number: 4286-2026
PhD Student in Mining and Rock Engineering
PhD Student in Mining and Rock Engineering with special focus on underground hydrogen storage Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely with leading researchers in a strong, international research environment, with access to advanced laboratory equipment and solid funding opportunities. You will be offered secure employment, high-quality supervision, and room to grow, both as a researcher and as a person. Luleå University of Technology, together with the Geological Survey of Sweden (SGU) and several Swedish industrial partners, is launching a multidisciplinary research project on natural hydrogen resources and underground hydrogen storage. We are seeking a motivated PhD candidate in Mining and Rock Engineering to contribute to interdisciplinary research spanning rock engineering, geophysics, geology and energy systems. The project offers a unique opportunity to work with leading researchers and industry partners while addressing one of the key technological challenges of the energy transition. As a doctoral student at Luleå University of Technology, you will receive excellent supervision, access to advanced research facilities, and opportunities to develop into an internationally recognized researcher. Subject description Mining and Rock Engineering comprises mining technology, rock engineering and rock mechanics, including rock mass properties, design of rock excavations and tunneling as well as planning and production processes related to both mining and civil engineering. Project description For this PhD position, the research will focus on the development of engineered underground hydrogen storage in lined rock caverns (LRCs) excavated in hard crystalline rock. Your tasks are to: - develop coupled thermo-hydro-mechanical numerical models to simulate hydrogen injection, storage and withdrawal; - evaluate the effects of operational loading on the integrity of steel liners, concrete and surrounding rock; - develop reference designs for lined rock caverns of different storage capacities together with scaling methodologies; - assess site-specific performance under different geological conditions and providing design recommendations for future demonstration projects. The project is carried out in close collaboration between Luleå University of Technology, the Geological Survey of Sweden (SGU), and several Swedish industrial partners. The successful candidate will work closely with researchers specializing in rock mechanics, underground construction, geophysics and geology, while interacting regularly with industrial stakeholders. Duties As a PhD student, you will: - conduct independent research through numerical modelling, laboratory testing and field investigations; - participate in site investigations and data collection in northern Sweden; - develop methodologies for evaluating suitable storage sites and optimized lined rock cavern designs; - publish research findings in leading international scientific journals; - present research at national and international conferences; - complete doctoral coursework required for the degree. The majority of your working time will be devoted to doctoral research. Depending on departmental needs, you may also have the opportunity to gain experience in teaching and supervision. You will become a member of the Network of Young Scientists (NYS) within CH2ESS, which organizes workshops, field excursions, interdisciplinary networking activities and professional development events. Qualifications Applicants must hold an MSc degree (or equivalent) in one of the following areas: - Rock Mechanics - Civil Engineering (with specialization in geotechnical engineering or underground construction) - Mining Engineering - Solid Mechanics - or a closely related discipline A strong background in numerical modelling of rock and underground structures is essential. Experience with finite element, finite difference or discrete element modelling (e.g., FLAC3D, 3DEC, Abaqus, COMSOL or similar software) is considered an advantage. The successful candidate should demonstrate: - strong analytical and problem-solving skills; - enthusiasm for scientific research; - ability to work independently as well as collaboratively in multidisciplinary teams; - excellent communication skills in written and spoken English. Knowledge of Swedish is considered an advantage because some fieldwork, industrial interaction and teaching activities may require communication in Swedish, but it is not a mandatory requirement. For further information about a specific subject see http://www.ltu.se/research/Utbildning-pa-forskarniva/Studieplaner/Allmanna-studieplaner-Teknisk-fakultetsnamnd?l=en Further information Employment as a PhD student is limited to 4 years, teaching and other department duties may be added with max 20%. Placement: Luleå. The expected start date for the position is October-December 2026. For each position, a preliminary salary range https://www.ltu.se/en/about-the-university/work-with-us/applying-for-a-job#h-Informationonpaytransparency is provided based on the requirements, responsibilities, and market conditions associated with the role. For further information about the position, please contact: Professor Ping Zhang, +46 920-49 3016, [email protected] Professor Daniel Johansson, +46 920-49 2361, [email protected] Union representatives https://www.ltu.se/en/about-the-university/work-with-us/applying-for-a-job#h-Tradeunioncontacts In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence. Application We prefer that you apply for this position by clicking on the apply button below. The application should include a CV, personal letter and copies of verified diplomas from high school and universities. If available, please include documentation of English language proficiency (e.g. TOEFL, IELTS, Cambridge English, or equivalent). Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish. Closing date for applications: September 20, 2026 Reference number: 4286-2026
PhD Candidate in Communication and Computing Systems
Are you ready to take the next step in your academic journey? As a PhD candidate with us, you will work closely with leading researchers in a strong and international research environment, with access to advanced laboratory equipment and excellent funding opportunities. You are offered a secure employment, high-quality supervision, and room to grow, both as a researcher and as a person. Luleå University of Technology is in an expansive phase and is implementing an initiative to strengthen research and education in communication and computing systems, with a particular focus on algorithms, data structures, and advanced computational models. Communication and computing systems is a rapidly growing and evolving field that forms the foundation for today's and tomorrow's digital society. Developments in artificial intelligence, large-scale data management, and distributed systems place increasing demands on new ways to represent, process, and interpret information. To meet these challenges, research and education are required that combine classical computational models with new approaches to computation and representation, particularly in high-dimensional and complex data environments. The initiative is directly related to the university's computer science environment and offers good synergy opportunities with research groups in, among others, artificial intelligence, machine learning, cyber-physical systems, and data-intensive applications. We therefore see a focus on research and development of new methods for representation, processing, and analysis of complex information as important. These methods range from basic research at the methodology level, such as algorithm development and models for efficient information representation, to applied research in collaboration with other groups. Field Description The field encompasses research related to integrated development and management of reliable network architectures, resource-efficient algorithms, and programming paradigms that work together to create reliability properties in selected applications. Project Description You will work on an exciting research project whose overarching goal is to develop new algorithms for reasoning and hybrid AI systems. The project focuses on methods that combine data-driven models with symbolic, structured, or knowledge-based representations to create AI systems that are more robust, interpretable, and adaptable. In your work, you will conduct research on algorithms for representation, learning, and reasoning in modern AI systems. This includes developing methods for linking learned representations to concepts and relationships, integrating context into learning processes, and designing new forms of inductive bias that support generalization and explainability. The project may also include algorithms and models suitable for efficient implementation on resource-constrained platforms, such as edge devices and new AI-adapted computer architectures. Responsibilities As a PhD candidate, you will have the following tasks: conduct research within the project area and participate in teaching activities. The position involves research within one of the most important subjects in computer science. As a PhD candidate, you will contribute to research and publishing activities and collaborate within the framework of the field's broad industrial and academic contact network through national and international collaborative projects. Qualifications To be eligible for employment as a PhD candidate, a Master's degree in Computer Science with a focus on Machine Learning and Artificial Intelligence or an equivalent foreign degree in the field is required. We are looking for a person with the following qualifications: - Master's level knowledge in machine learning and artificial intelligence. - Strong programming skills (Python, Matlab, AI frameworks). Participation in programming competitions is definitely a merit. - Solid mathematics knowledge at university level (probability theory, statistics, calculus, geometry, Fourier transform). Skills should be supported by above-average grades and will be tested online before the interview. - Positive attitude and good communication skills Information Employment as a PhD candidate is limited to 4 years; teaching and other institutional service may be added up to 20% of full-time. Place of work: Luleå. Start date: By agreement. For more information, please contact Professor Evgeny Osipov, 0920-49 1578, mailto:[email protected] Trade union representative: SACO-S Diana Chroneer, 0920-49 2037 mailto:[email protected] OFR-S Marika Vesterberg, 0920-49 1721 mailto:[email protected] Application We prefer that you apply for the position via the application button below, where you attach a cover letter and CV/list of qualifications and copies of verified certificates. Please mark your application with the reference number below. Both the application and certificates must be written in Swedish or English. Deadline for application: 2026-09-30 Reference number: 3191-2026
Jobs in Lulea
Listing 439 jobs, median price 14 €, 99 % below the national median, 105 added in the last 7 days, mostly Norrbottens län (437), Stockholms län (1), Värmlands län (1), updated 48 minutes ago.
Frequently asked questions
- What is the salary range for jobs in Lulea?
- Offered salaries range from 156 SEK to 156 SEK.
- Which professions are hiring in Lulea?
- The most common professions are Sjuksköterska, grundutbildad (52), Doktorand (17), Specialistläkare (15), Undersköterska, vård- och specialavdelning och mottagning (13).
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- We pull public sources and employer feeds several times a day — 105 openings were added in the last 7 days.
- Where to look for jobs near Lulea?
- Nearest cities with openings: GAMMELSTAD (20), Sävast (8), BODEN (396).
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