2 PostDoc Positions at EPFL on Biological Foundation Models

ppbbGeneral /b /b /p /ppThe Artificial Intelligence in Molecular Medicine (AIMM) Lab, led by Prof. Charlotte Bunne at EPFL, sits at the interface of computer science and the life sciences, affiliated with both the School of Computer and Communication Sciences and the School of Life Sciences, as well as the EPFL AI Center. /p pWe are recruiting btwo postdoctoral researchers with strong expertise in large-scale AI development and a background in biology /b. The positions cover the full stack of biological foundation model research: from core architecture design and pretraining at scale to integration into agentic interfaces. Both roles involve close collaboration with pharmaceutical industry partners and come with dedicated access to the Swiss National Supercomputing Centre (CSCS) and the Swiss AI Initiative. /pppbbResearch directions include /b /b /p /p liFoundation model architecture development: novel pretraining objectives, tokenization, and scalable architectures for biological data. /li liMultimodal learning: representation learning across diverse biological data modalities. /li liAgentic interfaces: integrating foundation models into reasoning and decision-support systems. /li liTranslational applications: bridging foundation model research towards impact in early drug-discovery and biomedical sciences. /li ppbbWe are looking for candidates with /b /b /p /p liA PhD in machine learning, computer science, computational biology, or a closely related field (completed or near completion). /li liDemonstrated experience in largescale AI development, including pretraining, finetuning, or scaling on substantial compute. /li liA solid biological background; familiarity with biological data modalities is expected. /li liA strong publication record at toptier ML conferences and/or life science journals. /li liExcellent communication skills and enthusiasm for interdisciplinary research. /li ppbbWe offer /b /b /p /p liCompetitive EPFL postdoc salary and full social benefits. /li liDedicated compute allocation on CSCS and the Swiss AI Initiative. /li liDirect collaboration with pharmaceutical industry partners. /li liMentorship toward an independent academic or industry research career. /li liAn international, collaborative environment at one of Europe's leading technical universities. /li pbActivity rate /b: 100%. /p pbStart date /b: ideally Fall 2026, with later start dates possible by arrangement. /p pTo apply, please send a CV, a brief statement of research interests (1 page), and the names of two references. More information via aimm.epfl.ch. Applications are reviewed on a rolling basis. /p