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École Polytechnique Fédérale de Lausanne

Postdoctoral Positions in Biological Foundation Models and Generative AI at EPFL École Polytechnique Fédérale de Lausanne in Switzerland

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral positions at EPFL with dedicated access to CSCS and the Swiss AI Initiative. No stipend amount or tuition information is provided.

Deadline

Expired

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Country

Switzerland

University

École Polytechnique Fédérale de Lausanne

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Biology
Artificial Intelligence
Precision Medicine
Personalized Medicine
Medical Science

About this position

EPFL’s AIMM Lab (Artificial Intelligence in Molecular Medicine) is advertising two postdoctoral openings at the interface of computer science, artificial intelligence, biology, biomedical data, and personalized medicine.

Opening 1: Biological foundation models — suitable for candidates with strong experience in large-scale AI development and a biological background. The role focuses on building foundation models for biological data, multimodal learning, and translational applications.

Opening 2: Generative AI and foundation model methods — suitable for candidates with a strong machine learning background, especially in diffusion models, generative transformers, scalable training, or related methods. Prior experience with biological data is not required for this role.

The AIMM Lab is led by Charlotte Bunne and is part of EPFL’s School of Computer Science, the Swiss Institute for Experimental Cancer Research, and the EPFL AI Center in Lausanne, Switzerland. The lab’s research aims to advance personalized medicine using machine learning and large-scale biomedical datasets, with themes including virtual patient representations, digital diagnostics, personalized therapies, and AI for biology and medicine.

The positions include dedicated access to CSCS and the Swiss AI Initiative. The post states that applications are reviewed on a rolling basis, so interested candidates should apply as soon as possible through the EPFL careers pages.

Relevant research keywords include foundation models, generative AI, multimodal learning, biological data, biomedical data, diffusion models, generative transformers, scalable training, and translational applications.

Funding details

Postdoctoral positions at EPFL with dedicated access to CSCS and the Swiss AI Initiative. No stipend amount or tuition information is provided.

What's required

Postdoctoral candidates with a strong background in large-scale AI development and a biological background are sought for the biological foundation models position. For the generative AI and foundation model methods position, candidates should have a strong machine learning background, especially in diffusion models, generative transformers, scalable training, or related areas; prior experience with biological data is not required. The post emphasizes driven and independent researchers.

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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