2 PostDoc Positions on Biological Foundation Models
Two postdoctoral positions in Prof. Charlotte Bunne's Artificial Intelligence in Molecular Medicine (AIMM) Lab at EPFL, spanning the School of Computer and Communication Sciences, School of Life Sciences, and EPFL AI Center. The research agenda covers biological foundation model architecture development—novel pretraining objectives, tokenisation, scalable architectures—multimodal learning across diverse biological data types, and agentic interfaces for drug discovery. PhD in machine learning, computer science, or computational biology plus large-scale AI development experience and a solid biological background are required; start Fall 2026.
2 PostDoc Positions – Biological Foundation Models
Organisation: EPFL AIMM Lab (Prof. Charlotte Bunne), Lausanne, Switzerland
Labs: School of Computer and Communication Sciences / School of Life Sciences / EPFL AI Center
Contract: Fixed-term (CDD) | Start: Fall 2026 (flexible) | FTE: 100%
Research agenda
- Foundation model architecture: novel pretraining objectives, tokenisation, and scalable architectures for biological data.
- Multimodal learning across diverse biological data modalities (genomics, proteomics, imaging, etc.).
- Agentic interfaces integrating foundation models into decision-support systems for drug discovery.
Qualifications
- PhD in machine learning, computer science, computational biology, or related field (completed or near completion).
- Demonstrated large-scale AI development experience including pretraining and scaling.
- Solid biological background; familiarity with biological data modalities.
- Strong publication record at top-tier ML conferences or life-science journals.
Benefits
- Competitive postdoc salary with full social benefits.
- Dedicated compute access at the Swiss National Supercomputing Centre (CSCS).
- Pharmaceutical industry collaboration opportunities and mentorship toward an independent career.