PhD Candidate in Core Optimization with Machine Learning
Do you want to work with machine learning, optimization, and reactor physics, supported by competent and friendly colleagues in an international environment? Do you want to contribute to the development of advanced computational methods for future nuclear power systems? Do you want an employer that invests in sustainable employee relations and offers secure, favorable working conditions? We welcome your application for a PhD position at Uppsala University. As a PhD candidate, you will be part of a research group working on reactor physics, fuel cycle analysis, and computational methods for core and fuel optimization. The group combines physics-based computational models with modern optimization and data analysis methods. The work environment is international and multidisciplinary, with close links between fundamental method development and technically relevant applications. The project is a continuation of an ongoing PhD project on core and fuel optimization for small modular reactors (SMR) within the competence center ANItA (Academic-industrial Nuclear technology Initiative to Achieve a sustainable energy future). The competence center brings together academia and industry to strengthen Swedish nuclear technology expertise and contribute to a sustainable energy transition. The previous PhD project has developed methods for optimizing equilibrium cycles, where the goal is to find recurring fuel management strategies that provide good fuel economy while meeting reactor physics safety margins. Special focus has been on combining advanced optimization algorithms with machine learning-based surrogate models, including graph-based representations of core loading patterns. You will further develop this research direction. The project may include cycle-to-cycle optimization, development of new machine learning models, improved optimization strategies, uncertainty quantification, more efficient handling of physical constraints, and expanded analysis of fuel design, loading patterns, and safety-related quantities. The goal is to develop methods that enable faster and more reliable exploration of large design spaces in core and fuel optimization. Duties The duties consist mainly of doctoral studies, where you conduct research within the project and complete courses as part of your doctoral education. The work involves developing, implementing, and evaluating computational methods for core and fuel optimization using machine learning and optimization algorithms. Your duties include: - Develop and apply machine learning-based surrogate models for reactor physics calculations, - Develop and evaluate optimization methods for fuel loading patterns and fuel composition, - Analyze safety-related parameters such as reactivity, power distributions, fuel utilization, and margins to technical limits, - Work with large datasets from reactor physics simulations, - Implement and document computational tools, for example in Python, - Compile and publish research results in scientific articles, - Present results at national and international conferences, - Participate in research group seminars, project meetings, and other scientific activities. Teaching and other institutional service may be included with a maximum of 20 percent of full-time work. Qualifications To be eligible for doctoral studies, you must have: - Completed an advanced degree in engineering physics, nuclear engineering, energy engineering, machine learning, computer science, applied mathematics, or another field relevant to the project, or - Completed at least 240 credits, of which at least 60 credits at advanced level including an independent thesis of at least 15 credits, or - Acquired equivalent knowledge in another way. For the position, the following is also required: - Strong knowledge in physics, numerical methods, and/or machine learning, - Good programming skills, for example in Python, Julia, C++, or equivalent, - Ability to work independently and in a structured manner, - Good ability to collaborate, - Good ability to express yourself orally and in writing in English. Great weight will be placed on personal qualities such as analytical ability, initiative, accuracy, and motivation to conduct research within a multidisciplinary field. Desirable/Merits It is meritorious to have experience in one or more of the following areas: - Reactor physics, nuclear engineering, or neutron transport, - Core optimization, fuel cycle analysis, or fuel management, - Machine learning, especially neural networks, graph neural networks, or surrogate modeling, - Optimization algorithms, such as evolutionary algorithms, stochastic optimization, or multi-objective optimization, - Uncertainty quantification or statistical modeling, - Work with scientific computing software and high-performance computing, - Experience with version control and reproducible computing workflows. Regulations for PhD candidates are found in the Higher Education Ordinance Chapter 5 §§ 1-7 and in the university's rules and guidelines. About the Application Please attach transcripts, a copy of your thesis, and any other documents you wish to submit. About the Position The position is time-limited, according to the Higher Education Ordinance Chapter 5 § 7. Full-time. Start date: January 1, 2027, or by agreement. Location: Uppsala. Information about the position is provided by: Andreas Solders, 018-471 26 31, [email protected] In this recruitment, we have replaced the personal letter with questions that you answer as part of your application. Your answers will be used as part of the selection process. Welcome to submit your application no later than September 30, 2026, UFV-PA 2026/2129 Note that this is an abbreviated version of the announcement. To see the full announcement, please click on "Apply here" or visit Uppsala University's job announcement website.
Nurse for Oncological and Endocrinological Ward 100 A
Operational area: hematology and oncology We are Akademiska Hospital – one of Sweden's leading university hospitals. As a regional hospital and provider of highly specialized care, we serve two million people in central Sweden. Something is constantly happening here – a new life is born, a grandmother is operated on, a colleague is celebrated as a hero. With us, you will experience both challenging times and amazing moments, in a strong community with colleagues. Welcome with your application! Our Operations Endocrine Oncology is a ward within the hematology and oncology operational area located in the 100 building. The ward currently has 17 patient beds on weekdays and 12 beds on weekends. With us, you will have varied work where you combine nursing care with some acute care that may arise in connection with treatments. The ward has close collaboration with other wards/clinics within our operational area. Endocrine Oncology is a ward within the hematology and oncology operational area located in the 100 building. Some of the most common oncological endocrinological diagnoses are neuroendocrine tumors (NET), neuroendocrine carcinoma (NEC), and thyroid cancer. These are treated with targeted radiation therapy and/or chemotherapy/immunotherapy. The most common oncological diagnosis with us is lymphoma, where our specialty is CAR-T treatment – a treatment where the patient's own T-cells are genetically modified to attack cancer. We strive for continuous development and are part of highly specialized cancer care. With us, you will work with medical technology including central and peripheral infusions, chemotherapy, and immunotherapies. Here you will work in an environment with high nurse density, experienced physicians, and nursing assistants. We work together as a team. Your Assignment You will work together in a care team with a nursing assistant where you are responsible for patient care. It is exciting work where you meet people at many different stages of their illness. We work primarily with diagnosis and treatment. In diagnosing a patient, the work largely consists of medical history, clinical assessment, blood sampling, and preparations for examinations. We manage central infusions and frequently insert peripheral infusions. We have many patients coming from other parts of Sweden as well as Europe. Our treatment patients come regularly for infusion treatments such as chemotherapy/immunotherapy, and as a nurse, you focus on monitoring and medical technology. Specific to 100A is that we also provide various forms of targeted radiation therapy as well as advanced oncological treatment with CAR-T. You will also become part of a skilled team that supports and helps each other while working independently. Your Qualifications You are a licensed registered nurse. You may be completely new to the profession or have worked as a nurse for an extended period. Your Competencies We value a positive work environment where all employees feel comfortable and secure. Here we always focus on the patient and see the bigger picture around them. Is good teamwork and an open-minded approach important to you? Do you want to enjoy your work? Are you seeking challenges? Then we are right for you! We would like to see that you work according to clear processes, organize and plan your work well, complete what you start, and meet deadlines. That you keep current within your profession and your area of expertise, monitor the environment, and spot trends. That you take active initiative in social settings, step forward, and have an easy time creating new relationships, and that you quickly find solutions to emerging problems. What We Offer We offer a permanent position with service degree and start date by agreement. A trial period may be applied. Selection is ongoing. Working hours are on a rotating schedule. • 4 to 5 weeks of introduction with an experienced nurse and regular check-ins with supervisor/manager • Placement at other units within our operations • Internal lectures and scheduled training sessions • Patient-free days where you can, for example, focus on working with your areas of responsibility • A clinical development year (KUÅ) (20% of your working time) is included for all newly graduated nurses, where you can deepen your knowledge • Opportunity to participate in the cancer care academy, which is our development program that leads to paid specialist education With us, you receive benefits that make a difference. Read about the benefits here (https://regionuppsala.se/formaner/). Want to Know More? Welcome to contact us: Ward Manager Nina Lundberg [email protected] Deputy Ward Manager [email protected] Deputy Ward Manager Louise Blom [email protected] Union Representative Swedish Nurses Association can be reached via switchboard 018-611 00 00 Want to Work With Us? Welcome to submit your application via the link below. Region Uppsala values the qualities that equal gender distribution and diversity bring to our operations and welcomes applicants of all genders with different backgrounds, abilities, and life experiences. Region Uppsala civil defence places all permanent staff according to total defense needs. This means for the individual employee no obligations in peacetime, but is solely a planning measure. Before an employment decision, a check of suspicion and burden registers is conducted for all job applicants who in the sought position may work within psychiatric care, rehabilitation, care of children and youth, or compulsory care of substance abusers, areas covered by optional register extracts. This applies thus to all who will work in direct patient contact, even if current work tasks are not intended to mainly involve work with the above-mentioned patient groups. This recruitment is conducted entirely by Region Uppsala and we decline telephone calls from recruitment companies and advertising sales representatives.
Jobs in uppsala
674 Stellenangebote im Angebot, Medianpreis 2 303 €, 167 neu in den letzten 7 Tagen, am häufigsten Uppsala län (650), Stockholms län (8), Gävleborgs län (6), aktualisiert vor 1 Stunde.
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