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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.

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Country

Switzerland

University

EPFL

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Keywords

Computer Science
Biomedical Engineering
Biology
Computational Biology
Medical Science
Biomedicine
ML

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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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Prof. at EPFL

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Switzerland

Research Interests

Statistics

Artificial Intelligence

Computer Science

Biology

Biomedical Engineering