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Charlotte Bunne
Top university
3 days ago
2 PostDoc Positions at EPFL on Biological Foundation Models EPFL in Switzerland
Degree Level
Postdoc
Field of study
Computer Science
Funding
Competitive EPFL postdoc salary and full social benefits.
Country
Switzerland
University
EPFL
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Keywords
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About this position
The Artificial Intelligence in Molecular Medicine (AIMM) Lab at EPFL is recruiting two postdoctoral researchers to work at the intersection of computer science, artificial intelligence, and the life sciences. Led by Prof. Charlotte Bunne, the lab is affiliated with the School of Computer and Communication Sciences, the School of Life Sciences, and the EPFL AI Center.
This opening focuses on the full stack of biological foundation model research. The work spans core architecture design, large-scale pretraining, and integration into agentic interfaces, with a strong emphasis on building models that can support reasoning and decision-support in biological contexts.
Research directions include novel pretraining objectives and tokenization methods for biological data, scalable model architectures, multimodal learning across diverse biological data modalities, and translational applications aimed at early drug discovery and biomedical science. The postdocs will collaborate closely with pharmaceutical industry partners and work in a setting with dedicated access to the Swiss National Supercomputing Centre and the Swiss AI Initiative.
The position is embedded in an interdisciplinary environment at one of Europe’s leading technical universities, with mentorship aimed at supporting a future independent research career in academia or industry.
Funding details
Competitive EPFL postdoc salary and full social benefits.
What's required
Applicants should have a PhD in machine learning, computer science, computational biology, or a closely related field, completed or near completion. Candidates should have demonstrated experience in large-scale AI development, including pretraining, finetuning, or scaling on substantial compute, a solid biological background with familiarity in biological data modalities, a strong publication record at top-tier ML conferences and/or life science journals, and excellent communication skills with enthusiasm for interdisciplinary research.
How to apply
Send a CV, a brief 1-page statement of research interests, and the names of two references. Applications are reviewed on a rolling basis.
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Review drafts and confirm requirements with the university.
Professors
Prof. at EPFL
Switzerland
Research Interests
Statistics
Artificial Intelligence
Computer Science
Biology
Biomedical Engineering
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Prepare your application
Review drafts and confirm requirements with the university.