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Charlotte Bunne

2 months ago

2 Postdoctoral Positions in Biological Foundation Models at EPFL École Polytechnique Fédérale de Lausanne in Switzerland

Degree Level

Postdoc

Field of study

Computer Science

Funding

Competitive EPFL postdoc salary with full social benefits. The role includes dedicated compute allocation on CSCS and the Swiss AI Initiative, plus collaboration with pharmaceutical industry partners.

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Country

Switzerland

University

École Polytechnique Fédérale de Lausanne

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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-sca...

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Switzerland

EPFL’s AIMM Lab is hiring a PostDoc in collaboration with Novartis for research at the intersection of computer science , biology , and early drug discovery . The project focuses on developing multimodal foundation models for biology , including new model architectures, large-scale pretraining, and agentic interfaces . The role is especially relevant for researchers with strong experience in large-scale AI development and a solid biological background . Successful candidates will work closely wi...

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Switzerland

EPFL (École Polytechnique Fédérale de Lausanne) is advertising a postdoctoral position in the Artificial Intelligence in Molecular Medicine (AIMM) Lab led by Prof. Charlotte Bunne . The position is part of an industry collaboration with Novartis and is based in Lausanne, Switzerland . The project focuses on multimodal foundation models for biological and translational research. Research directions include multimodal model development, novel pretraining objectives, tokenization, scalable architec...

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United States

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Keywords

Computer Science
Biomedical Engineering
Biology
Computational Biology
Medical Science
Biomedicine
ML

About this position

EPFL (École Polytechnique Fédérale de Lausanne) is advertising 2 PostDoc positions in the Artificial Intelligence in Molecular Medicine (AIMM) Lab, led by Prof. Charlotte Bunne. The lab works at the intersection of computer science, biology, and molecular medicine, with affiliation to the School of Computer and Communication Sciences, the School of Life Sciences, and the EPFL AI Center.

The positions focus on biological foundation models and cover the full stack of research: foundation model architecture development, novel pretraining objectives, tokenization, scalable architectures for biological data, multimodal learning across biological data modalities, agentic interfaces for reasoning and decision support, and translational applications in early drug discovery and biomedical sciences.

Applicants should have a PhD in machine learning, computer science, computational biology, or a closely related field (completed or near completion). The post also asks for strong experience in large-scale AI development, a solid biological background, familiarity with biological data modalities, a strong publication record, and excellent communication skills for interdisciplinary research.

Funding includes a competitive EPFL postdoc salary, full social benefits, dedicated compute access via the Swiss National Supercomputing Centre (CSCS) and the Swiss AI Initiative, and collaboration with pharmaceutical industry partners. The activity rate is 100%.

Applications are reviewed on a rolling basis. To apply, send a CV, a 1-page statement of research interests, and the names of two references. More information is available at the AIMM lab website.

Funding details

Competitive EPFL postdoc salary with full social benefits. The role includes dedicated compute allocation on CSCS and the Swiss AI Initiative, plus collaboration with pharmaceutical industry partners.

What's required

Applicants should have a PhD in machine learning, computer science, computational biology, or a closely related field (completed or near completion). Strong experience in large-scale AI development is required, including pretraining, finetuning, or scaling on substantial compute. A solid biological background and familiarity with biological data modalities are expected. A strong publication record at top-tier ML conferences and/or life science journals is preferred, along with excellent communication skills and enthusiasm for interdisciplinary research.

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Professors

Assistant Professor in Computer Science and Life Sciences

University Name
Country flag

Switzerland

Research Interests

Artificial Intelligence

Statistics

Computer Science

Biology

Biomedical Engineering