Postdoc in AI-Driven Modelling of High-Entropy Battery Electrolytes at Uppsala University

Job Description

Uppsala University is hiring a postdoc to model high-entropy electrolytes for lithium and sodium batteries with molecular simulation and AI, in Professor Patrik Johansson’s new group within the Ångström Advanced Battery Centre. The project is funded by a Swedish Research Council Distinguished Professor Grant for next-generation batteries.

At a glance

• Position: Postdoc (1 post), Department of Chemistry – Ångström Laboratory
• Group: Prof. Patrik Johansson, Ångström Advanced Battery Centre (ÅABC)
• Duration: Two years (temporary), full-time; the summary box lists 1 November 2026 to 31 October 2028, while the text says the start is as agreed
• Contact: Torbjörn Fängström, torbjorn.fangstrom@kemi.uu.se
• Reference: UFV-PA 2026/2547
• Apply: 1 October 2026

About the postdoc project

• Model several types of high-entropy electrolytes at the molecular level for lithium and sodium batteries, with a focus on solvent-free salt melts
• Use mainly molecular dynamics and small DFT calculations, possibly with COSMO-RS
• Develop and apply modern AI and machine learning methods to explore, understand and optimise the electrolytes
• Link design and material choices to structure, dynamics and performance; teach up to 20% and supervise students

High-entropy electrolytes mix many different salts or solvents to create liquids with unusual properties, and solvent-free salt melts are one promising class for safer batteries. The chemical space is huge, which is why modelling combined with machine learning is used to explore it efficiently.

What Uppsala University is looking for

• A doctoral degree in chemistry, physics or materials, normally awarded within three years of the deadline (exceptions for illness, parental leave and similar circumstances)
• Excellent written and spoken English
• Documented experience in molecular-level modelling
• Documented experience in AI and machine learning for materials science

Nice to have

• Research experience with electrolytes and modern batteries
• Applying AI and machine learning in battery research

Pay and location

Uppsala University sets an individual salary for this post; the posting gives no figure. It is a two-year temporary position in Uppsala, Sweden.

How to apply

Apply through the official Uppsala University page. The closing date is 1 October 2026. Apply through Uppsala University’s recruitment system using the link on the official posting. Applications are assessed mainly on independent research ability and scientific excellence, with the quality of individual papers weighing more than their number, plus collaboration skills and fit with the department’s research.

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