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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
Switzerland
University
EPFL
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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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Professors
Prof. at EPFL
Switzerland
Research Interests
Statistics
Artificial Intelligence
Computer Science
Biology
Biomedical Engineering
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