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

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.