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Charlotte Bunne

Top university

5 days ago

Postdoctoral Position in Multimodal Foundation Models at EPFL with Novartis EPFL in Switzerland

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Country flag

Country

Switzerland

University

EPFL

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Keywords

Computer Science
Biomedical Engineering
Biology
Computational Biology
Medical Science
ML

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About this position

The Artificial Intelligence in Molecular Medicine (AIMM) Lab at EPFL is recruiting a postdoctoral researcher for an industry-collaborative project with Novartis on multimodal foundation models. The lab, led by Prof. Charlotte Bunne, works at the interface of computer science and the life sciences and is affiliated with the School of Computer and Communication Sciences, the School of Life Sciences, and the EPFL AI Center.

This position centers on building multimodal biological foundation models, with work spanning core architecture design, pretraining at scale, and integration into agentic interfaces. The project brings together methods for multimodal model development and multimodal representation learning, aiming to fuse diverse biological data modalities across scales and to support reasoning and decision-support systems. The research also connects model development to translational applications in early drug discovery using public and Novartis-internal datasets.

The postdoctoral researcher will work closely with Novartis Biomedical Research and benefit from dedicated access to the Swiss National Supercomputing Centre (CSCS) and the Swiss AI Initiative. The role is positioned within an international and collaborative environment at one of Europe’s leading technical universities, with mentorship toward an independent academic or industry research career.

Funding details

Available

What's required

A PhD in machine learning, computer science, computational biology, or a closely related field is required, completed or near completion. Candidates should have demonstrated experience in large-scale AI development, including pretraining, fine-tuning, or scaling on substantial compute, a solid biological background with familiarity across multiple 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. Apply through the EPFL careers link and check aimm.epfl.ch for more information. Applications are reviewed on a rolling basis.

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Prof. at EPFL

University Name
Country flag

Switzerland

Research Interests

Statistics

Artificial Intelligence

Computer Science

Biology

Biomedical Engineering