Postdoctoral Researcher in AI-Driven Modeling of High-Entropy Electrolytes

Description The Department of Chemistry - Ångström conducts research and education in chemistry. The department has 270 employees and an annual budget of 330 million kronor. The department's six programs conduct highly successful research of international caliber. We have a large number of externally funded research projects, often with international collaboration, and we see continued strong growth within our field. The department has teaching responsibilities in engineering and civil engineering programs as well as master's programs. More information is available on our website. Duties The project's focus is to model various types of high-entropy electrolytes at the molecular level for application in both lithium and sodium batteries. The goal is to understand how different design and material choices correlate with structure, dynamics, and performance. A special focus is on solvent-free electrolytes based on molten salts. The methods are primarily molecular dynamics simulations and smaller DFT calculations, but the software COSMO-RS may also be used. The project combines computational chemistry, molecular modeling, and artificial intelligence. A central part of the work is to develop and apply modern AI and machine learning methods to explore, understand, and optimize high-entropy electrolytes. The postdoctoral researcher will be part of Prof. Patrik Johansson's new research group at Uppsala University, part of the research environment Ångström Advanced Battery Centre (ÅABC). This fundamental yet application-inspired research project is funded by the Swedish Research Council through a Research Council Professor Grant for "Next Generation Batteries." The main duties for a postdoctoral researcher are to conduct research. These may also include teaching, up to 20% of working time, as well as supervision of and collaboration with doctoral students and thesis workers. Qualifications PhD in chemistry, physics, or materials science, or a foreign degree assessed as equivalent. The degree must be completed by the time of the employment decision. Normally the degree should have been completed within the last three years, counted from the final application deadline. However, in special circumstances the degree may have been completed earlier. Special circumstances include leave due to illness, parental leave, positions of trust within trade union organizations, and similar circumstances. Applications will be assessed primarily on the basis of the applicant's ability to conduct independent research and their scientific skill. The quality of each individual scientific work weighs more heavily than the number of publications. Consideration is also given to good collaboration skills, drive and independence, as well as how the applicant's experience and competence complement and strengthen ongoing research within the department and how they can contribute to its future development. The applicant must have: Excellent abilities in written and oral English Documented experience with molecular-level modeling. Documented experience with artificial intelligence and machine learning for materials science applications. Desirable/Meriting Experience Experience in research on electrolytes and modern batteries is meriting. Experience applying artificial intelligence and machine learning in battery research is highly meriting. About the Position The employment is time-limited for 2 years according to central agreement. Full-time position (100%). Start date by agreement. Location: Uppsala Information about the position is provided by: Torbjörn Fängström, +46 18-471 33 65, [email protected]. Welcome to submit your application by October 1, 2026, UFV-PA 2026/2547 Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all 7,500 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the country's most exciting workplaces. Read more about our benefits and what it's like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The employment may be security vetted. A condition for employment in a security vetting process is that the applicant is approved. We decline offers of recruitment and advertising assistance. Applications are received in Uppsala University's recruitment system. Trade union representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]

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