PhD Student in Theoretical Ecology
The Department of Physics, Chemistry and Biology at Linköping University is seeking a PhD student within the Marie Skłodowska-Curie Actions Doctoral Network ReDiLEEP (Using science-driven Response Diversity knowledge to Leverage Efficient Ecosystem Preservation and restoration). ReDiLEEP brings together leading universities, research institutes and non-academic partners in and outside Europe to advance research on response diversity and translate new knowledge into ecosystem management, restoration and biodiversity policy. As a PhD student, you will contribute to this work by investigating the relationship between the structural organization of ecological networks and response diversity. Research Project DC2: Species Interaction Networks and Response Diversity from Acoustic Monitoring Data Read more here: https://liu.se/jobba-pa-liu/lediga-jobb/29762 Your Tasks Apply and develop network analytical methods to characterize network structure and analyze how it relates to response diversity under environmental change. Develop and apply AI and machine learning methods to identify and quantify species interactions from acoustic recordings. Construct ecological interaction networks based on the derived acoustic data. Actively contribute to scientific discussions and collaborations within the research group and the broader ReDiLEEP network. Publish scientific articles and present your research at international conferences and network meetings. Actively participate in ReDiLEEP network's educational activities, secondments, research communication, reporting and joint activities for the PhD student group. As a PhD student, you will focus on your research education and research project. Your work may also include teaching or participating in other departmental assignments, up to 20 percent of full-time. Secondments and Training within the Network The position includes nine months of planned secondments: 4 months at Earth Species Project: development of an AI pipeline for acoustic data. 3 months at Kyoto University: hypothesis testing with data from Okinawa. 2 months at Think Nature: use of sound and network data as a basis for green transition. Your Qualifications You must have: A degree at an advanced level in ecology, biology, applied mathematics, computational science or computer science, or completed courses of at least 240 higher education credits with at least 60 higher education credits at advanced level in ecology, biology, applied mathematics, computational science or computer science, or acquired equivalent knowledge in another way. A strong interest in theoretical ecology, ecological networks, response diversity, ecosystem stability and the application of AI and machine learning to ecological questions. Experience in scientific programming, quantitative analysis or computational modeling, preferably in R, Python, C++ or comparable tools. Interest in working with large ecological datasets and developing computational methods to understand ecological responses. Ability to work independently while also contributing constructively to an international and interdisciplinary PhD network. Very good ability to express yourself in spoken and written English as well as good ability to write scientific text. Experience in bioacoustics, machine learning, analysis of ecological networks, signal processing or analysis of large ecological datasets is meritorious. Your application must include a motivation letter that demonstrates the above experience and interests. MSCA Eligibility Requirements Applicants must meet the eligibility requirements for Marie Skłodowska-Curie Actions Doctoral Networks at the time of recruitment: Applicants must not already hold a doctoral degree. Applicants must be enrolled or eligible to enroll in doctoral education at Linköping University. Applicants must work full-time and exclusively within the ReDiLEEP project during employment, in accordance with applicable MSCA rules. Mobility Rule: applicants must not have been resident or conducted their main activity, such as work or studies, in Sweden for more than 12 months during the 36 months immediately preceding the recruitment date. Exemptions from the mobility rule apply to, among others, mandatory national service, refugee status and temporary protection. Your Workplace Read more here: https://liu.se/jobba-pa-liu/lediga-jobb/29762 What We Offer Read more here: https://liu.se/jobba-pa-liu/lediga-jobb/29762 About the Position Upon assuming the position, you will be admitted to doctoral education. Read more about each faculty's doctoral education https://liu.se/forskning/forskarutbildning The position is time-limited to normally four years full-time. Extension of employment up to five years is based on the degree of teaching and departmental assignments. Under special circumstances, further extension may be granted. You will initially be employed for one year, and the employment will then be renewed for a maximum of two years at a time, based on the achieved study plan. Salary and Benefits Read more here: https://liu.se/jobba-pa-liu/lediga-jobb/29762 Trade Union Representatives https://liu.se/jobba-pa-liu/hjalp-for-sokande. Application You apply for this position by clicking the "Apply" button below. Your application must be received by Linköping University no later than October 5, 2026. Applications received after the final application deadline will not be considered. We welcome applicants with different backgrounds, experiences and perspectives, as it enriches and develops our operations. For us, it is self-evident to uphold everyone's equal worth, rights and opportunities. Read about our work on https://liu.se/artikel/lika-villkor/. We look forward to receiving your application! Linköping University has procurement agreements and asks us not to accept direct contact from staffing and recruitment companies as well as job advertisement vendors.
PhD Student in Theoretical Ecology
The Department of Physics, Chemistry and Biology at Linköping University invites applications for a Doctoral Candidate position within the Marie Skłodowska-Curie Actions Doctoral Network ReDiLEEP (Using science-driven Response Diversity knowledge to Leverage Efficient Ecosystem Preservation and restoration). ReDiLEEP brings together leading universities, research institutes, and non-academic partners across Europe and beyond to advance response diversity research and translate new knowledge into ecosystem management, restoration, and biodiversity policy. The Doctoral Candidate will contribute to this effort by investigating the relationship between the structural organization of ecological networks and response diversity. Research Project DC1: More information: https://liu.se/en/work-at-liu/vacancies/29871 Your Work Assignments Carry out theoretical research on response diversity, ecological networks, and ecosystem stability using mathematical and computational approaches. Develop and implement computational models and analysis code for simulated and empirical ecological networks. Analyze and interpret results in close collaboration with empirical ecologists within the ReDiLEEP network. Conduct the research in accordance with the agreed research plan. Contribute actively to scientific discussions and collaborations within the research group and the wider ReDiLEEP network. Produce scientific publications and present your research at international conferences and network meetings. Participate actively in ReDiLEEP network training, secondments, dissemination, reporting, and cohort activities. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20 percent of full-time. Secondments and Network Training The position includes 7 months of planned secondments: 3 months at University of Namur: Integrating network group structure with trait theory 3 months at Cardiff University: Bridging network models and interaction experiments 1 month at Lutra Interactive: Development of interactive visualization of key results Your Qualifications The candidate must have Graduated at Master's level in ecology, biology, applied mathematics, computational science, data science or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in ecology, biology, applied mathematics, computational science, data science. Alternatively, you have gained essentially corresponding knowledge in another way. Strong interest in theoretical ecology, ecological networks, response diversity, ecosystem stability, and mathematical and computational modeling. Experience with scientific programming, quantitative analysis, or computational modeling, preferably using R, Python, C++, or comparable tools. Interest in ecological modeling, network analysis, dynamical systems, and linking theoretical approaches with empirical ecological data. Ability to work independently while contributing constructively to an international, interdisciplinary doctoral network. Excellent written and spoken English and strong scientific writing skills. Experience with ecological modeling, ecological network analysis, dynamical systems, community ecology, or working with empirical biodiversity data is an advantage. A letter of intent should be attached to the application to support the above-mentioned experiences and interests. MSCA Eligibility Criteria Applicants must meet the Marie Skłodowska-Curie Actions Doctoral Network eligibility requirements at the recruitment date: Applicants must not already hold a doctoral degree. Applicants must be doctoral candidates and be enrolled, or eligible to be enrolled, in a doctoral programme at Linköping University. Applicants must work full-time and exclusively for the ReDiLEEP project during the appointment, in accordance with the applicable MSCA rules. Mobility rule: applicants must not have resided or carried out their main activity, such as work or studies, in Sweden for more than 12 months during the 36 months immediately before the recruitment date. Exceptions to the mobility rule apply for compulsory national service, refugee status, and temporary protection. Your Workplace More information: https://liu.se/en/work-at-liu/vacancies/29871 What We Offer More information: https://liu.se/en/work-at-liu/vacancies/29871 The Employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at https://liu.se/en/research/doctoral-studies. The employment has a duration of normally four years' full-time equivalent. Extension of employment up to five years is based on the degree of teaching and institutional assignment. Further extensions may be granted in exceptional circumstances. You will initially be employed for one year, after which your employment will be renewed for a maximum of two years at a time, depending on your progress through the study plan. Salary and Employment Benefits More information: https://liu.se/en/work-at-liu/vacancies/29871 Union Representatives https://liu.se/en/work-at-liu/hjalp%20for%20sokande. Application Procedure Apply for the position by clicking the "Apply" button below. Your application must reach Linköping University no later than 5 October 2026. Applications and documents received after the date above will not be considered. We welcome applicants with different backgrounds, experiences and perspectives—diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: https://liu.se/en/article/lika-villkor/. We look forward to receiving your application! Linköping University has framework agreements and wishes to decline direct contacts from staffing and recruitment companies as well as vendors of job advertisements.
PhD Student in Theoretical Ecology
The Department of Physics, Chemistry and Biology at Linköping University invites applications for a Doctoral Candidate position within the Marie Skłodowska-Curie Actions Doctoral Network ReDiLEEP (Using science-driven Response Diversity knowledge to Leverage Efficient Ecosystem Preservation and restoration). ReDiLEEP brings together leading universities, research institutes, and non-academic partners across Europe and beyond to advance response diversity research and translate new knowledge into ecosystem management, restoration, and biodiversity policy. The Doctoral Candidate will contribute to this effort by investigating the relationship between the structural organization of ecological networks and response diversity. Research Project DC2: Species interaction networks and response diversity in soundscapes More information: https://liu.se/en/work-at-liu/vacancies/29829 Your work assignments Apply and develop network-analytic methods to characterize network structure and analyze how it relates to response diversity under environmental change Develop and apply AI and machine-learning methods to identify and quantify species interactions from acoustic recordings. Construct ecological interaction networks from the inferred acoustic data. Contribute actively to scientific discussions and collaborations within the research group and the wider ReDiLEEP network. Produce scientific publications and present your research at international conferences and network meetings. Participate actively in ReDiLEEP network training, secondments, dissemination, reporting, and cohort activities. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20 percent of full-time. Secondments and Network Training The position includes 9 months of planned secondments: 4 months at Earth Species Project: Develop AI pipeline for acoustic data processing 3 months at Kyoto University: Hypothesis testing with Okinawan data 2 months at Think Nature: Use sound/network data as insight for green transitions Your qualifications The candidate must have: Graduated at Master's level in ecology, biology, applied mathematics, computational science, data science or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in ecology, biology, applied mathematics, computational science, data science. Alternatively, you have gained essentially corresponding knowledge in another way. Strong interest in theoretical ecology, ecological networks, response diversity, ecosystem stability, and the application of AI and machine learning to ecological questions. Experience with scientific programming, quantitative analysis, or computational modeling, preferably using R, Python, C++, or comparable tools. Interest in working with large ecological datasets and developing computational approaches to understand ecological responses. Ability to work independently while contributing constructively to an international, interdisciplinary doctoral network. Excellent written and spoken English and strong scientific writing skills. Experience with bioacoustics, machine learning, ecological network analysis, signal processing, or analysis of large ecological datasets is an advantage. A letter of intent should be attached to the application to support the above-mentioned experiences and interests. MSCA Eligibility Criteria Applicants must meet the Marie Skłodowska-Curie Actions Doctoral Network eligibility requirements at the recruitment date: Applicants must not already hold a doctoral degree. Applicants must be doctoral candidates and be enrolled, or eligible to be enrolled, in a doctoral program at Linköping University Applicants must work full-time and exclusively for the ReDiLEEP project during the appointment, in accordance with the applicable MSCA rules. Mobility rule: applicants must not have resided or carried out their main activity, such as work or studies, in Sweden for more than 12 months during the 36 months immediately before the recruitment date. Exceptions to the mobility rule apply for compulsory national service, refugee status, and temporary protection. Your workplace More information: https://liu.se/en/work-at-liu/vacancies/29829 What We Offer More information: https://liu.se/en/work-at-liu/vacancies/29829 The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at https://liu.se/en/research/doctoral-studies The employment has a duration of normally four years' full-time equivalent. Extension of employment up to five years is based on the degree of teaching and institutional assignment. Further extensions may be granted in exceptional circumstances. You will initially be employed for one year, after which your employment will be renewed for a maximum of two years at a time, depending on your progress through the study plan. Salary and employment benefits More information: https://liu.se/en/work-at-liu/vacancies/29829 Union representatives Information about union representatives, see https://liu.se/en/work-at-liu/hjalp-for-sokande. Application procedure Apply for the position by clicking the "Apply" button below. Your application must reach Linköping University no later than 5 October, 2026. Applications and documents received after the date above will not be considered. We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: https://liu.se/en/article/lika-villkor/. We look forward to receiving your application! Linköping University has framework agreements and wishes to decline direct contacts from staffing and recruitment companies as well as vendors of job advertisements.
PhD Student in Theoretical Ecology
The Department of Physics, Chemistry and Biology at Linköping University is seeking a doctoral student within the Marie Skłodowska-Curie Actions Doctoral Network ReDiLEEP (Using science-driven Response Diversity knowledge to Leverage Efficient Ecosystem Preservation and restoration). ReDiLEEP brings together leading universities, research institutes and non-academic partners in and outside Europe to develop research on response diversity and translate new knowledge into ecosystem management, restoration and biodiversity policy. The doctoral student will contribute to this work by investigating the relationship between the structural organization of ecological networks and response diversity. Research Project DC1: How structural patterns of species interactions affect response diversity Read more here: https://liu.se/jobba-pa-liu/lediga-jobb/29763 Your responsibilities Conduct theoretical research on response diversity, ecological networks and ecosystem stability using mathematical and computational methods. Develop and implement computational models and analysis code for simulated and empirical ecological networks. Analyze and interpret results in close collaboration with empirically-focused ecologists within the ReDiLEEP network. Conduct research in accordance with the agreed research plan. Actively contribute to scientific discussions and collaborations within the research group and the broader ReDiLEEP network. Publish scientific articles and present research at international conferences and network meetings. Actively participate in ReDiLEEP network's educational activities, secondments, research communication, reporting and joint activities for the doctoral student group. As a doctoral student, you will dedicate yourself to your research education and research project. Your work may also include teaching or participation in other department assignments, up to 20 percent of full-time. Secondments and Training within the Network The position includes a total of seven months of planned secondments: 3 months at University of Namur: integrating group structures in ecological networks with functional trait theory. 3 months at Cardiff University: linking network models with experimental studies of species interactions. 1 month at Lutra Interactive: developing interactive visualization of key research findings. Your qualifications You should have: Completed a degree at an advanced level in ecology, biology, applied mathematics, computational science or computer science, or completed courses of at least 240 higher education credits of which at least 60 higher education credits are at advanced level in ecology, biology, applied mathematics, computational science or computer science, or acquired equivalent knowledge in some other way. A strong interest in theoretical ecology, ecological networks, response diversity, ecosystem stability and mathematical and computational modeling. Experience with scientific programming, quantitative analysis or computational modeling, preferably in R, Python, C++ or comparable tools. Interest in ecological modeling, network analysis and dynamical systems and in linking theoretical approaches with empirical ecological data. Ability to work independently while contributing constructively to an international and interdisciplinary doctoral network. Very good ability to express yourself in speech and writing in English and good ability to write scientific text. Experience in ecological modeling, analysis of ecological networks, dynamical systems, community ecology or work with empirical biodiversity data is advantageous. Your application should include a motivation letter that demonstrates the above experience and interests. MSCA Eligibility Requirements Applicants must meet the eligibility requirements for Marie Skłodowska-Curie Actions Doctoral Networks at the time of recruitment: Applicants must not already hold a doctoral degree. Applicants must be a doctoral student and be admitted, or eligible to be admitted, to doctoral education at Linköping University. Applicants must work full-time and exclusively within the ReDiLEEP project during the employment, in accordance with applicable MSCA rules. Mobility Rule: applicants must not have been resident or had their principal activity, such as work or studies, in Sweden for more than 12 months during the 36 months immediately preceding the recruitment date. Exemptions from the mobility rule apply, among other things, to mandatory national service, refugee status and temporary protection. Your Workplace Read more here: https://liu.se/jobba-pa-liu/lediga-jobb/29763 What We Offer Read more here: https://liu.se/jobba-pa-liu/lediga-jobb/29763 About the Position Upon taking up the position, you will be admitted to doctoral education. Read more about each faculty's doctoral education https://liu.se/forskning/forskarutbildning The position is time-limited to normally four years full-time. Extension of employment up to five years will be based on the degree of teaching and department assignments. For special reasons, further extension may be granted. You will initially be employed for one year, and the employment will thereafter be renewed for a maximum of two years at a time, based on achieved study plan. Salary and Benefits Read more here: https://liu.se/jobba-pa-liu/lediga-jobb/29763 Union Representatives https://liu.se/jobba-pa-liu/hjalp-for-sokande Application You apply for this position by clicking the "Apply" button below. Your application must be received by Linköping University no later than October 5, 2026. Applications received after the final application date will not be considered. We welcome applicants with different backgrounds, experiences and perspectives, which enriches and develops our activities. For us, it is a matter of course to safeguard everyone's equal value, rights and opportunities. Read about our work with https://liu.se/artikel/lika-villkor/. We look forward to receiving your application! Linköping University has procurement agreements and asks us not to accept direct contact from staffing and recruitment companies as well as job advertisement sellers.
PhD Student in Electrocatalysis for Sustainable Energy Conversion
For more information about this position https://liu.se/jobba-pa-liu/lediga-jobb/29830 Your responsibilities The project focuses on developing and optimizing electrocatalysts and electrolyzer systems for sustainable energy conversion. The research will address both fundamental and applied questions in electrocatalysis, including water splitting, CO₂ conversion, upgrading of biomass-based molecules, and other small-molecule transformations. Particular emphasis will be placed on understanding the relationships between catalyst structure, interfacial processes, the local reaction environment, and electrochemical performance. The project aims to translate fundamental mechanistic understanding into broadly applicable strategies for optimizing catalysts and electrochemical systems. For more information, see the full job posting at the link above. As a PhD student, you will focus on your doctoral education and the research project in which you participate. Your work may also include teaching or participation in other departmental duties, up to 20 percent of full-time employment. Your qualifications You hold a degree at the advanced level in chemistry or materials science, or have completed courses totaling at least 240 higher education credits, of which at least 60 credits at the advanced level in chemistry or materials science, or have otherwise acquired substantially equivalent knowledge. A strong background in one or more of the following areas is meritorious: More than one year of practical laboratory experience in electrochemistry or electrocatalysis, particularly in water splitting, CO₂ conversion, biomass upgrading, or other catalytic reactions with small molecules. Materials chemistry, catalyst synthesis, materials characterization, or surface and interfacial science, including electrolyte–electrode interactions and solvation at interfaces. Experience with transition metal-based electrocatalysts is meritorious. Testing of electrolyzers, reactor design, and optimization of electrochemical systems. Operando characterization, such as XRD, Raman, FTIR/ATR-SEIRAS, XAS, and EQCM. Experience in developing correlative characterization strategies to investigate mechanistic questions is meritorious. Scientific research and publishing, particularly peer-reviewed publications as first author in surface and interfacial science, catalysis, electrochemistry, environmental technology, or related fields. Industrial research or practical experience in areas such as flue gas treatment, energy storage systems, or energy infrastructure for electric vehicles and other vehicles with alternative drivetrains. International study, research, or industrial experience, combined with documented ability to work effectively in multicultural and interdisciplinary environments. Very good ability to communicate in English. Knowledge of additional languages is meritorious. We welcome applicants with diverse backgrounds who are motivated to work across disciplinary boundaries in electrochemical catalysis, spectroscopy, materials science, and sustainable chemical conversion. This position requires good ability to communicate in English, both orally and in writing. The candidate should be able to work both independently and collaboratively in an interdisciplinary research environment. Important personal qualities include scientific curiosity, creativity, problem-solving ability, accuracy in experimental work, and a strong motivation to develop new methods and ideas. Your workplace Your workplace will be Lizhou Fan's research group at https://liu.se/organisation/liu/ifm/mdesign, Department of Physics, Chemistry and Biology, Linköping University. For more information, see the full job posting at the link above. Wallenberg Initiative Materials Science for Sustainability This recruitment is linked to the Wallenberg Initiative Materials Science for Sustainability (WISE, wisematerials.org). WISE, funded by the Knut and Alice Wallenberg Foundation, is Sweden's largest investment in materials science to date and includes major commitments at Sweden's leading universities over the course of 12 years. The vision is a sustainable future through materials science. Young researchers recruited to the WISE program will be part of the WISE Research School https://wise-materials.org/research-school/ an ambitious nationwide program with seminars, courses, research visits, and other activities to promote a strong multidisciplinary and international network among PhD students, postdoctoral researchers, researchers, and industry. Read more: https://wise-materials.org/ About the position Upon taking up the position, you will be admitted to doctoral education. The position is time-limited to normally four years full-time. Extension of employment up to five years occurs based on the degree of teaching and departmental duties. In special circumstances, further extension may occur. You will initially be employed for one year, after which the position will be renewed for a maximum of two years at a time, based on progress in your study plan. Start date by agreement. Salary and benefits PhD student salary is regulated according to a locally agreed salary scale. Read more about employee benefits https://liu.se/jobba-pa-liu/formaner. Trade union contacts For information about trade union contacts, see https://liu.se/jobba-pa-liu/hjalp-for-sokande. Application Welcome to apply for this position no later than October 2, 2026. We welcome applicants with diverse backgrounds, experiences, and perspectives—this enriches and develops our operations. For us, it is self-evident to uphold equal value, rights, and opportunities for all. Read about our work on https://liu.se/artikel/lika-villkor/. We look forward to receiving your application! Linköping University has procurement agreements and requests that we do not accept direct contact from staffing and recruitment firms or sellers of job postings.
PhD Student in Electrocatalysis for Sustainable Energy Conversion
For more information about the vacancy https://liu.se/en/work-at-liu/vacancies/29872 Work Assignments The project focuses on the development and optimization of electrocatalysts and electrolyzer systems for sustainable energy conversion. The research will address both fundamental and applied questions in electrocatalysis, including water splitting, CO₂ conversion, biomass-derived molecule upgrading, and other small-molecule transformations. Particular emphasis will be placed on understanding the relationships between catalyst structure, interfacial processes, local reaction environments, and electrochemical performance. The project aims to translate fundamental mechanistic understanding into broadly applicable strategies for catalyst and electrochemical system optimization. For the full description, see the complete announcement in the link above. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20 percent of full-time. Qualifications You have graduated at the Master's level in chemistry or materials science or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in chemistry or materials science. Alternatively, you have gained essentially corresponding knowledge in another way. A strong background in one or more of the following areas is considered meritorious: More than one year of hands-on laboratory experience in electrochemistry, electrocatalysis for water splitting, CO₂ conversion, biomass upgrading, or other small-molecule catalytic reactions. Materials chemistry, catalyst synthesis, characterization, or surface/interface science including electrolyte–electrode interactions and interfacial solvation. Experience with transition-metal-based electrocatalysts is considered a plus. Electrolyzer testing, reactor design, electrochemical system optimization. Operando characterization such as XRD, Raman, FTIR/ATR-SEIRAS, XAS, and EQCM. Experience in developing correlative characterization strategies to address mechanistic questions is valued. Scientific research and publication, particularly first-author peer-reviewed publications in surface and interface science, catalysis, electrochemistry, environmental engineering, or related fields. Industrial research or internship experience in areas such as flue-gas purification, energy-storage systems, or energy infrastructure for new-energy vehicles. International study, research, or industrial experience, together with a demonstrated ability to work effectively in multicultural and interdisciplinary environments. Excellent communication skills in English; proficiency in additional languages is considered an advantage. We welcome applicants with different backgrounds who are motivated to work across disciplinary boundaries in electrochemical catalysis, spectroscopy, materials science, and sustainable chemical conversion. The position requires good communication skills in English, both written and spoken. The candidate should be able to work independently as well as collaboratively in an interdisciplinary research environment. Important personal qualities include scientific curiosity, creativity, problem-solving ability, accuracy in experimental work, and strong motivation to develop new methods and ideas. The Workplace Your workplace will be the Lizhou Fan group at https://liu.se/en/organisation/liu/ifm/mdesign, Department of Physics, Chemistry and Biology, Linköping University. For the full description, see the complete announcement in the link above. Wallenberg Initiative Materials Science for Sustainability This recruitment is connected to the Wallenberg Initiative Materials Science for Sustainability (WISE, wise-materials.org). WISE, funded by the Knut and Alice Wallenberg Foundation, is the largest-ever investment in materials science in Sweden and encompasses major efforts at Sweden's foremost universities over the course of 12 years. The vision is a sustainable future through materials science. All early-stage researchers recruited into the WISE program will be part of the WISE Research School https://wise-materials.org/research-school/, an ambitious nationwide program of seminars, courses, research visits, and other activities to promote a strong multidisciplinary and international network between PhD students, postdocs, researchers, and industry. Read more: https://wise-materials.org/research-school/ The Employment When taking up the post, you will be admitted to the program for doctoral studies. More information about doctoral studies at each faculty is available at https://liu.se/en/research/doctoral-studies The employment has a duration of normally four years' full-time equivalent. Extension of employment up to five years is based on the degree of teaching and institutional assignment. Further extensions may be granted in exceptional circumstances. You will initially be employed for one year, after which your employment will be renewed for a maximum of two years at a time, depending on your progress through the study plan. Starting date by agreement. Salary and Employment Benefits The salary of PhD students is determined according to a locally negotiated salary progression. More information about employee benefits is available at https://liu.se/en/work-at-liu/employee-benefits. Union Representatives For information about union representatives, see https://liu.se/en/work-at-liu/help-for-applicants. Application Procedure Your application must be received no later than October 2, 2026. We welcome applicants with different backgrounds, experiences, and perspectives—diversity enriches our work and helps us grow. Preserving everybody's equal value, rights, and opportunities is a natural part of who we are. Read more about our work with: https://liu.se/en/article/lika-villkor/. We look forward to receiving your application! Linköping University has framework agreements and wishes to decline direct contacts from staffing and recruitment companies as well as vendors of job advertisements.
PhD Student in Machine Learning of Geometric Representations at ISY
We have the strength of over 50,000 students and employees. Students who bring hope for the future. Employees who every day contribute to Linköping University tackling the challenges of our time. Our values are based on credibility, trust and security. By being bold, thinking freely and doing new things, we create together, through great and small actions, a better future. Welcome to apply for a job with us! We are now looking for 1-2 PhD students for the Division of Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your responsibilities Within the research unit for visual learning theory, the PhD student will develop methods for interpretable latent representations and implicit neural models. For more details, see the ELLIIT project Legere https://elliit.se/project/learning-geometric-representations-legere or contact M. Felsberg. As a PhD student, you will devote yourself to your doctoral education and research projects in which you participate. Your work may also include teaching or participating in other departmental assignments, up to 20 percent of full-time. Your qualifications You have completed a degree at advanced level in computer science and engineering, or applied mathematics, applied physics and electrical engineering, where you have completed courses of at least 240 higher education credits, of which at least 60 higher education credits at advanced level in computer vision or equivalent. Alternatively, you have acquired substantially equivalent knowledge in some other way. The degree requirement must be met by the time the employment decision is made, that is, when the employment contract is signed. You must have strong mathematical skills and experience in machine learning, programming and analyzing visual data. Furthermore, you have the ability to work long-term and drive projects forward even when challenges arise. You enjoy working results-oriented and strive to deliver work of high scientific quality. The role requires that you collaborate well with others in the research environment while being clear in your communication. We place great emphasis on a quality-conscious work approach and that you have strong language and analytical skills, which means that you can process text, theory and research literature in a structured and reflective manner. You also have well-developed problem-solving skills and can analyze complex research questions, identify relevant approaches and independently drive your work forward. Since our activities have an international character, you are required to communicate fluently in English, both verbally and in writing. It is meriting if you have previous publications from conferences in computer vision or machine learning. Your workplace The Division of Computer Vision and Learning Systems (CVL) at the Department of Electrical Engineering (ISY) has a dynamic research environment with a total of approximately 40 employees. This includes six faculty members, assistant professors, postdoctoral researchers and PhD students, where PhD students make up half of the staff, as well as several adjunct researchers. CVL conducts research and education at undergraduate, advanced and doctoral level in machine learning for computer vision. LiU has been mentioned as one of Sweden's strongest AI universities in Vinnova's 2025 report. We have ongoing research activities within WASP (Wallenberg AI, Autonomous Systems and Software Program), ELLIIT (SRA), LiU's profile area VDF (Visual Digital Futures) and LiU Excellence Center AI4x. For more information about our activities, please visit our website: https://liu.se/organisation/liu/isy/cvl. To learn more about ISY, go to: https://liu.se/artikel/lediga-tjanster-pa-isy. About the employment In connection with taking up the employment, you will be admitted to doctoral studies. Read more about each faculty's doctoral education https://liu.se/forskning/forskarutbildning The employment is limited to normally four years full-time. Extension of employment up to five years takes place based on the degree of teaching and departmental assignments. For particular reasons, further extension may take place. You will initially be employed for one year, and thereafter the employment will be renewed with a maximum of two years at a time, based on the progress of your study plan. Please feel free to contact mailto:[email protected] if you have questions about what it is like to work as a PhD student at ISY. Start date by agreement. However, for one of the positions you must start no later than December 31, 2026 A background check may be conducted before an employment decision is made. Salary and benefits PhD student salary is regulated according to a locally agreed salary scale. Read more about employee benefits https://liu.se/jobba-pa-liu/formaner. Union representatives Information about union representatives, see https://liu.se/jobba-pa-liu/hjalp-for-sokande. Application You apply for this position by clicking the "Apply" button below. Your application must be received by Linköping University no later than September 25, 2026. Applications received after the final application date will not be considered. We welcome applicants with different backgrounds, experiences and perspectives, it enriches and develops our activities. For us it is self-evident to uphold the equal value, rights and opportunities of all. Read about our work at https://liu.se/artikel/lika-villkor/. Welcome with your application! Linköping University has procured agreements and asks us not to accept direct contact from staffing and recruitment companies or sellers of job advertisements.
Doctoral Student in Medical Science, AI and Bioinformatics at BKV
We have the strength of over 50,000 students and staff members. Students who give hope for the future. Staff members who every day contribute to Linköping University tackling today's challenges. Our core values are based on credibility, trust and security. By being brave, thinking freely and doing new things, we create together, through great and small actions, a better future. Welcome to apply for a job with us! We are now seeking a doctoral student in medical science, AI and bioinformatics. Your responsibilities The project aims to develop AI-based foundation models for integrated analysis of single-cell and multi-omics data to better understand how molecular and cellular processes are coordinated between cells, tissues and organ systems in health and disease. You will be responsible for developing and applying advanced methods in AI and bioinformatics to large-scale single-cell and multi-omics data. The project will focus on integrating this data to study cellular and tissue-specific signaling, molecular communication and systemic molecular networks, as well as how these processes change between physiological and disease states. Through this work, you will develop predictive and biologically interpretable models that connect molecular patterns across multiple levels of human biology. The project is at the intersection of artificial intelligence, computational biology, systems medicine and precision health and involves close collaboration with researchers in both computational and biomedical fields. Beyond the project's primary focus, you will have the opportunity to develop related research questions based on your own interests and new results that emerge during the project. You will thereby develop broad expertise in AI and multi-omics analysis and grow as an independent researcher for a future career in academia, biotechnology or data-driven precision medicine. As a doctoral student, you dedicate yourself to your research training and research projects in which you are involved. Your work may also include teaching or participating in other institutional assignments, up to 20 percent of full-time. Your qualifications You have completed a degree at advanced level in AI, bioinformatics, systems biology or a related field, or completed course requirements of at least 240 credits, of which at least 60 credits at advanced level. Alternatively, you have acquired knowledge equivalent in kind in another way. Additionally required: Strong programming ability and strong quantitative skills, especially in Python and/or R. Experience with deep learning, machine learning or analysis of large-scale omics data. High degree of motivation and independence, good problem-solving ability and ability to collaborate in an interdisciplinary research environment. Ability to communicate fluently in English, both orally and in writing. The following qualifications are not a requirement but are particularly meritorious: Experience with foundation models, transformers, generative models or representation learning. Experience with analysis of large-scale single-cell omics data. Experience with integrative analysis of multi-omics data, such as genomics, proteomics or metabolomics. Experience with relevant machine learning frameworks, such as PyTorch, and high-performance computing environments (HPC). Knowledge in molecular and cell biology, systems biology or precision medicine. Your application must also include a research plan describing how your background, skills and research interests make you suitable for the project on AI foundation models for integrated single-cell and multi-omics analysis. Also briefly describe in the research plan a research question or research direction within AI, single-cell biology, multi-omics or systems medicine that you would be interested in exploring during your doctoral studies. Your workplace You will be employed in the research group led by University Lecturer https://liu.se/medarbetare/wenzh16, fellow in the Swedish national program for https://www.scilifelab.se/data-driven. The research group is located at https://liu.se/organisation/liu/bkv/cnb, https://liu.se/organisation/liu/bkv, Linköping University. The research group focuses on integrative multi-omics, the interaction between genetic variation and human phenotypes and the development of AI-driven methods to better understand human biology and diseases and translate this knowledge into data-driven strategies for precision health. About the employment When you are admitted to doctoral training, your employment as a doctoral student will be processed. Read more about each faculty's doctoral training https://liu.se/forskning/forskarutbildning The employment is time-limited to normally four years full-time. Extension of employment up to five years is based on the degree of teaching and institutional assignments. In special cases, further extension may occur. You will be employed initially for one year, and thereafter the employment is renewed for a maximum of two years at a time, based on the achieved study plan. Start date by agreement. Salary and benefits The doctoral student salary is regulated according to a locally agreed salary scale. Read more about benefits for employees https://liu.se/jobba-pa-liu/formaner. Trade union contact persons Information on trade union contact persons, see https://liu.se/jobba-pa-liu/hjalp-for-sokande. Application You apply for this position by clicking the "Apply" button below. Your application must be received by Linköping University no later than 261030. Applications received after the final application deadline will not be considered. We welcome applicants with different backgrounds, experiences and perspectives, which enriches and develops our activities. For us, it is self-evident to safeguard everyone's equal value, rights and opportunities. Read about our work with https://liu.se/artikel/lika-villkor/. We look forward to your application! Linköping University has negotiated agreements and asks us to avoid direct contact from staffing and recruitment companies and sellers of job advertisements.
PhD Student in Education with Focus on Adult Learning
We have the strength of over 50,000 students and staff members. Students who bring hope for the future. Staff members who every day contribute to Linköping University tackling the challenges of our time. Our values are built on credibility, trust, and security. By being courageous, thinking freely, and creating new things, we together—through big and small actions—create a better future. Welcome to apply for a job with us! We are now seeking two PhD students in Education with a focus on adult learning, positioned at the Department of Behavioral Sciences and Learning. Your Tasks Adult learning encompasses a wide range of knowledge areas, including adult learning occurring at different stages of the life cycle, organizational, institutional, and didactic questions in relation to municipal adult education, folk high schools, vocational education, and popular education more broadly. Also included are questions about adult study participation, social inclusion and exclusion of various groups in formal, non-formal, and informal learning contexts, transitions between education, work, and social life, and matters of employability. The two positions aim to strengthen research on municipal adult education, in relation to which the PhD students will formulate their research interests. As a PhD student, you are expected to contribute to the development of the broader research environment. This includes, among other things, thesis work, teaching, and participation in shared activities. The position requires significant presence at the workplace, which contributes to a vibrant intellectual climate. As a PhD student, you will engage in your research training and research projects in which you participate. Your work may also include teaching or participating in other departmental assignments, up to 20 percent of full-time. Your Qualifications You hold a degree at the advanced level in education or a subject of central importance to adult learning, or have completed courses of at least 240 higher education credits, of which at least 60 higher education credits at the advanced level in education or a subject of central importance to adult learning, or have otherwise acquired essentially equivalent knowledge. Good knowledge of Swedish and English is a requirement for employment. You must be able to work both independently and in teams. A statement of intent of 3 pages must be submitted with your application. This should outline your research interests within adult learning with a focus on municipal adult education. Your Workplace The positions are placed at https://liu.se/organisation/liu/ibl/pvl, which has a strong international and national profile in terms of education, research, and publishing. Research within the environment aims to build knowledge about the following central adult education contexts: municipal adult education (including Swedish for immigrants [sfi] and vocational adult education), folk high schools, universities of applied sciences, and study associations' activities directed toward adults. With regard to vocational education, research is also directed toward upper secondary school vocational programs. About the Employment Upon taking up the position, you will be admitted to doctoral training. Read more about each faculty's doctoral training at https://liu.se/forskning/forskarutbildning The position is time-limited to normally four years full-time. Extension of employment up to five years occurs based on the degree of teaching and departmental assignments. Under special circumstances, further extension may occur. You will initially be employed for one year, and the employment will thereafter be renewed for a maximum of two years at a time, based on progress achieved in your study plan. Start date: February 1, 2027. Salary and Benefits The PhD student salary is regulated according to a locally agreed salary scale. Read more about benefits for employees at https://liu.se/jobba-pa-liu/formaner. Trade Union Representatives For information about trade union representatives, see https://liu.se/jobba-pa-liu/hjalp-for-sokande. Application You apply for this position by clicking the "Apply" button below. Your application must be received by Linköping University no later than September 21, 2026. Applications received after the final application deadline will not be considered. We welcome applicants with different backgrounds, experiences, and perspectives; this enriches and develops our activities. For us, it is a matter of course to uphold the equal worth, rights, and opportunities of all. Read about our work at https://liu.se/artikel/lika-villkor/. We look forward to receiving your application! Linköping University has negotiated agreements and requests that we not receive direct contact from staffing and recruitment firms or sellers of job advertisements.
PhD Student in Materials Physics
We have the power of over 50,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application! This recruitment is linked to the Impact Innovation program Swedish Metals and Minerals – an initiative of Energimyndigheten, Formas and Vinnova. Read more: https://impactinnovation.se/en/programmes/swedish-metals-and-minerals-2/ Your Work Assignments As a PhD student in this project, you will work in a world-leading group focused on application-inspired basic research in thin-film physics, particularly hard ceramic coatings. The position involves conducting application-inspired basic research on thin film materials where the main goal is to develop new environmentally friendly surface coating processes with maintained layer quality, functionality and reduced energy consumption. The project is carried out in close collaboration with Swedish industry. Publication in scientific journals and presentations at international conferences are also expected from the successful candidate. The project encompasses process development, plasma analysis, and the synthesis and characterization of thin films. It focuses on controlling and understanding the structure and properties of the coatings at the atomic and nanometer scales. Materials science is inherently interdisciplinary, involving close collaboration with theorists and researchers at other universities in Sweden and abroad. Our close cooperation with industry offers an additional opportunity for those who do not wish to remain in academia after completing their doctoral studies. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20 percent of full-time. Your Qualifications You have graduated at Master's level in physics, materials chemistry or materials science/engineering or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained essentially corresponding knowledge in another way. Documented experience from PVD synthesis methods, like magnetron sputtering, plasma analysis, as well as thin film characterization techniques like XRD, SEM, TEM, or XPS is beneficial. Fluent English spoken and written is required. Your Workplace The Thin Film Physics Division carries out research, undergraduate and postgraduate education within materials physics. https://liu.se/en/organisation/liu/ifm/tunnf The Employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at https://liu.se/en/research/doctoral-studies The employment has a duration of normally four years' full-time equivalent. Extension of employment up to five years is based on the degree of teaching and institutional assignment. Further extensions may be granted in exceptional circumstances. You will initially be employed for one year, after which your employment will be renewed for a maximum of two years at a time, depending on your progress through the study plan. Starting date by agreement. Salary and Employment Benefits The salary of PhD students is determined according to a locally negotiated salary progression. More information about employment benefits at Linköping University is available https://liu.se/en/work-at-liu/employee-benefits Union Representatives Information about union representatives, see https://liu.se/en/work-at-liu/hjalp%20for%20sokande. Application Procedure Apply for the position by clicking the "Apply" button below. Your application must reach Linköping University no later than 30 September 2026. Applications and documents received after the date above will not be considered. We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: https://liu.se/en/article/lika-villkor/. We look forward to receiving your application! Linköping University has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.
PhD Student in Materials Science
We have the strength of over 50,000 students and staff members. Students who bring hope for the future. Staff members who every day contribute to Linköping University tackling the challenges of our time. Our values rest on credibility, trust, and security. By being brave, thinking freely, and doing new things, we create together, through great and small actions, a better future. Welcome to apply for a position with us! This recruitment is linked to the Impact Innovation program Swedish Metals and Minerals – an initiative by the Swedish Energy Agency, Formas, and Vinnova. Read more: https://impactinnovation.se/program/swedish-metals-minerals/ Your tasks As a PhD student in this project, you will work in a world-leading group conducting application-inspired fundamental research in thin film physics, particularly hard ceramic coatings. The position primarily involves conducting application-inspired fundamental research on thin film materials with the main goal of developing new environmentally friendly coating processes while maintaining layer quality, functionality, and reducing energy consumption. The project is carried out in close collaboration with Swedish industrial partners. The project includes process development, plasma analysis, and synthesis and characterization of thin films. It involves controlling and understanding the structure and properties of coatings at the atomic and nanometer scale. Materials science is fundamentally interdisciplinary, which means close collaboration with theorists and researchers at other institutions in Sweden and internationally. Our close collaboration with industry provides an additional opportunity for you if you don't want to stay in academia after your doctoral thesis. Publication in scientific journals and presentations at international conferences are also part of the position. As a PhD student, you dedicate yourself to your doctoral education and research projects in which you participate. Your work may also include teaching or participating in other departmental tasks, up to 20 percent of full-time. Your qualifications You have completed a degree at the advanced level in physics, chemistry, or materials science, or completed courses totaling at least 240 higher education credits of which at least 60 credits are at the advanced level, or in some other way acquired substantially equivalent knowledge. Documented experience with PVD synthesis methods, such as magnetron sputtering and plasma analysis, as well as techniques for characterizing thin films – for example XRD, SEM, TEM, or XPS – is meritorious. Your workplace The Division of Thin Film Physics conducts research as well as undergraduate and doctoral education in materials science. https://liu.se/en/organisation/liu/ifm/tunnf About the employment In connection with starting the position, you will be admitted to doctoral education. Read more about each faculty's doctoral education https://liu.se/forskning/forskarutbildning The employment is time-limited to normally four years full-time. Extension of employment up to five years is made based on the degree of teaching and departmental assignments. In special circumstances, further extension may be granted. You are initially employed for one year, and thereafter the employment is renewed for a maximum of two years at a time, based on the achieved study plan. Start date by agreement. Salary and benefits The PhD student salary is regulated according to a locally agreed salary scale. Read more about benefits for employees https://liu.se/jobba-pa-liu/formaner. Union representatives Information about union representatives, see https://liu.se/jobba-pa-liu/hjalp-for-sokande. Application You apply for this position by clicking the "Apply" button below. Your application must be received by Linköping University no later than September 30, 2026. Applications received after the final application date will not be considered. We welcome applicants with different backgrounds, experiences, and perspectives; it enriches and develops our operations. For us, it is self-evident to uphold the equal value, rights, and opportunities for all. Read about our work with https://liu.se/artikel/lika-villkor/. Welcome with your application! Linköping University has procurement agreements and requests that we do not receive direct contact from staffing and recruitment companies or sellers of job advertisements.
Jobs in Linkoping
692 Stellenangebote im Angebot, Medianpreis 5 319 €, 131 % über dem landesweiten Median, 174 neu in den letzten 7 Tagen, am häufigsten Östergötlands län (682), Jönköpings län (4), Södermanlands län (3), aktualisiert vor 56 Minuten.
Häufige Fragen
- Wie hoch sind die Gehälter für Jobs in Linkoping?
- Die angebotenen Gehälter reichen von 140 SEK bis 60 000 SEK.
- Welche Berufe werden in Linkoping gesucht?
- Die häufigsten Berufe sind Sjuksköterska, grundutbildad (38), Personlig assistent (22), Inköpare (13), Undersköterska, hemtjänst och äldreboende (13).
- Wie oft werden die Stellenangebote aktualisiert?
- Wir lesen öffentliche Quellen und Arbeitgeber-Feeds mehrmals täglich ein — in den letzten 7 Tagen kamen 174 Stellen dazu.
- Wo gibt es Jobs in der Nähe von Linkoping?
- Die nächsten Städte mit offenen Stellen: LINGHEM (7), Sturefors (3), LJUNGSBRO (10).
Stellenangebote in Linkoping aus mehreren Quellen an einem Ort. Ideal für die Jobsuche mit KI-Assistenten.