Chalmers University of Technology invites applications for a postdoctoral position focused on developing generative models for molecular dynamics (MD). This role is based in the AI and Machine Learning in the Natural Sciences (AIMLeNS) lab, part of the Department of Computer Science and Engineering (CSE) at Chalmers/University of Gothenburg. The AIMLeNS lab is a collaborative, interdisciplinary team of computer scientists, chemists, physicists, and mathematicians, dedicated to advancing practical methods that integrate traditional scientific disciplines with modern machine learning and AI technologies.

The successful candidate will lead research on AI surrogates for MD, aiming to dramatically reduce computational costs and enable new advances in drug discovery and materials science. The project builds on the group’s expertise in Boltzmann Generators, Surrogate-model Assisted Molecular Dynamics, and Implicit Transfer Operators. The postdoc will work closely with Associate Professor Dr. Simon Olsson and the AIMLeNS team, with opportunities to mentor PhD students, supervise MSc projects, and collaborate with a vibrant network of national and international partners.

Applicants should have a recent doctoral degree (within three years of the deadline, with exceptions for leave), a strong quantitative background, and hands-on experience with modern generative models. The ability to lead complex research projects independently and excellent English communication skills are essential. Familiarity with molecular simulation methods, structural biology, biophysics, or chemistry will strengthen your application. Teaching experience is meritorious but not required.

The position is a full-time, fully funded postdoctoral appointment for two years, with the possibility of a one-year extension. Chalmers offers a dynamic work environment in Gothenburg, access to state-of-the-art HPC facilities (BerzeLiUs, Alvis), and mentorship for career development. The university is committed to gender equality and diversity, with initiatives such as the GENIE project. Swedish language courses are available for non-native speakers.

To apply, submit your application in English as PDF files via the provided application link. Include a comprehensive CV (with publication list and teaching experience), a personal letter (1–3 pages) outlining your background and research goals, and contact details for two references. The deadline for applications is February 8, 2026. For further information, contact Associate Professor Simon Olsson at [email protected].