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

pSelect how often (in days) to receive an alert: /ppEPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. /ph3PostDoc Position at EPFL on Multimodal Foundation Models in Collaboration with Novartis /h3h3bGeneral /b /h3pThe Artificial Intelligence in Molecular Medicine (AIMM) Lab, led by Prof. Charlotte Bunne at EPFL, sits at the interface of computer science and the life sciences, affiliated with both the School of Computer and Communication Sciences and the School of Life Sciences, as well as the EPFL AI Center. As part of an industry collaboration with Novartis, the lab is opening a postdoctoral position on multimodal model development. /ppWe are recruitingba postdoctoral researcher with strong expertise in large-scale AI development and a background in biology /b. Working in close collaboration with Novartis, the position focuses on the development of multimodal biological foundation models: from core architecture design and pretraining at scale to integration into agentic interfaces. The role comes with dedicated access to the Swiss National Supercomputing Centre (CSCS) and the Swiss AI Initiative. /ph3bResearch directions include /b /h3ulliMultimodal model development: novel pretraining objectives, tokenization, and scalable architectures that integrate diverse biological data modalities. /liliMultimodal representation learning: aligning and fusing information across modalities to capture biological systems at multiple scales. /liliAgentic interfaces: integrating multimodal foundation models into reasoning and decision-support systems. /liliTranslational applications: bridging multimodal foundation model research towards impact in early drug discovery through public and Novartis-internal datasets. /li /ulh3bWe are looking for candidates with /b /h3ulliA PhD in machine learning, computer science, computational biology, or a closely related field (completed or near completion). /liliDemonstrated experience in large-scale AI development, including pretraining, fine-tuning, or scaling on substantial compute. /liliA solid biological background; familiarity with multiple biological data modalities is expected. /liliA strong publication record at top-tier ML conferences and/or life science journals. /liliExcellent communication skills and enthusiasm for interdisciplinary research. /li /ulh3bWe offer /b /h3ulliDedicated compute allocation on CSCS and the Swiss AI Initiative. /liliDirect collaboration with the AI for Research team and core disease area teams at Novartis Biomedical Research. /liliMentorship toward an independent academic or industry research career. /liliAn international, collaborative environment at one of Europe's leading technical universities. /li /ulh3bInformation /b /h3pbActivity rate /b: 100%.br/bContract /b: one year, with the plan of a one year renewal.br/bLocation /b: Lausanne, Switzerlandbr/bStart date /b: ideally Fall 2026, with later start dates possible by arrangement. /p #J-18808-Ljbffr