Summary:
The Artificial Intelligence in Molecular Medicine (AIMM) Lab at EPFL is seeking two postdoctoral researchers with a strong background in AI and biology. Ideal candidates will work at the forefront of biological foundation model research in collaboration with industry partners.
Postdoctoral Researchers in Biological Foundation Models, EPFL, Switzerland
Designation:
Postdoctoral Researcher
| Details | Information |
|---|---|
| Research Area | Biological Foundation Models |
| Location | EPFL, Lausanne, Switzerland |
| Activity Rate | 100% |
| Start Date | Ideally Fall 2026, with flexibility for later dates |
Eligibility/Qualification:
- PhD in machine learning, computer science, computational biology, or closely related fields (completed or near completion).
- Demonstrated experience in large-scale AI development (pretraining, finetuning, scaling).
- Solid biological background; familiarity with biological data modalities expected.
- Strong publication record in top-tier ML conferences and/or life science journals.
- Excellent communication skills and enthusiasm for interdisciplinary research.
Job Description:
The successful candidates will be involved in:
- Developing core architecture and novel pretraining objectives for biological data.
- Engaging in multimodal learning and representation across diverse biological data.
- Integrating foundation models into reasoning and decision-support systems (agentic interfaces).
- Contributing to translational applications that impact early drug discovery and biomedical sciences.
Additional offerings include competitive salary, full social benefits, and mentorship towards an independent academic or industry research career.
How to Apply:
Interested candidates are required to send:
- A CV
- A brief statement of research interests (1 page)
- Names of two references
Applications should be sent to the provided contact on the EPFL AIMM Lab website: aimm.epfl.ch.
Last Date for Application:
Applications are reviewed on a rolling basis. Early applications are encouraged for consideration.
This job post ensures that all essential details are captured effectively for prospective applicants.







