PostDoc Position at EPFL on Multimodal Foundation Models in Collaboration with Novartis

This postdoctoral position focuses on developing multimodal biological foundation models, involving architecture design, large-scale pretraining, and integration into agentic interfaces, in collaboration with Novartis. Key requirements include a PhD in a related field, demonstrated experience in large-scale AI development, a strong biological background, and a good publication record. The role offers significant compute resources and direct collaboration with industry partners.

• A PhD in machine learning, computer science, computational biology, or a closely related field (completed or near completion).
• A solid biological background
• Excellent communication skills and enthusiasm for interdisciplinary research.
• Dedicated compute allocation on CSCS and the Swiss AI Initiative.
• Mentorship toward an independent academic or industry research career.
• An international, collaborative environment at one of Europe's leading technical universities.
• Demonstrated experience in large-scale AI development, including pretraining, fine-tuning, or scaling on substantial compute.
• familiarity with multiple biological data modalities is expected.
• A strong publication record at top-tier ML conferences and/or life science journals.
• Direct collaboration with the AI for Research team and core disease area teams at Novartis Biomedical Research.
• Activity rate : 100%. Contract : one year, with the plan of a one year renewal. Location : Lausanne, Switzerland Start date : ideally Fall 2026, with later start dates possible by arrangement.