Postdoc in Generative AI and Foundation Models, EPFL Lausanne (AIMM Lab, Prof. Charlotte Bunne)
Job Description
EPFL’s Artificial Intelligence in Molecular Medicine (AIMM) Lab, led by Prof. Charlotte Bunne, is recruiting a postdoc in generative AI to develop new generative models, training methods and foundation-model technology.
At a glance
- Position: Postdoctoral researcher, 100%
- Where: EPFL, Lausanne, Switzerland
- Pay: EPFL postdoc salary (amount not stated)
- Start: Ideally autumn 2026; later start possible
- Apply: open until filled (re-checked 18 October 2026)
About the generative AI postdoc at EPFL
- Develop generative models such as diffusion models, flow matching, autoregressive models and normalizing flows
- Work on foundation-model design: new pre-training objectives, scalable architectures, tokenization and adaptation
- Improve large-scale training, including distributed training, efficient fine-tuning, evaluation and deployment
- Advance multimodal representation learning and generative modelling across different data types
- Contribute methods with potential uses in biomedicine and other sciences
The lab sits between computer science, AI and biomedicine and is affiliated with EPFL’s School of Computer and Communication Sciences, its School of Life Sciences and the EPFL AI Center. The ad stresses that the post is methodological and that prior work with biological data is not required. It comes with dedicated compute on the Swiss National Supercomputing Centre (CSCS) and the Swiss AI Initiative.
Why this role matters
Serious generative-model research now needs serious compute, which many academic postdocs lack. This position pairs a methods-first research agenda with a dedicated national supercomputing allocation, so a researcher can train at scale while keeping academic freedom. It also opens a path into AI for science without requiring a biology background.
What EPFL is looking for
- A PhD in machine learning, computer science, applied mathematics, statistics, physics, engineering or a closely related field, completed or nearly completed
- Shown expertise in generative AI, such as diffusion models, flow matching, normalizing flows, VAEs or generative transformers
- Strong programming skills with modern deep-learning frameworks
- Experience with large-scale or distributed model training
- A strong publication record at top machine-learning conferences or in relevant journals
Pay and location
EPFL offers its standard postdoc salary with full social benefits, but the ad does not give an amount. The position is at 100% in Lausanne, with dedicated compute on CSCS and the Swiss AI Initiative, and mentoring towards an academic or industry research career.
How to apply
Apply through the official EPFL job posting. EPFL’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 18 October 2026. EPFL reviews applications on a rolling basis. Send a CV, a one-page research statement and two referees’ names through the posting. Check the posting for location and work-authorisation details before you apply.
See all our postdoc positions, or browse more research jobs on ResearchJobs.in.
Hiring institution: EPFL (École polytechnique fédérale de Lausanne)
Official advertisement: careers.epfl.ch
How to prepare for this application
- Keep the statement to one page: the ad asks for a brief research statement; name the generative-modelling problem you would attack first.
- Show scale: give concrete numbers for the largest model or dataset you have trained on, and the parallelism you used.
- Know flow matching and diffusion side by side: be ready to compare their training objectives, sampling cost and failure modes.
- Think about science data: even without biology experience, suggest one scientific data type where your method could matter.
- Prepare two referees: the application needs a CV, a research statement and the names of two references.
About EPFL
EPFL, the École polytechnique fédérale de Lausanne, is one of Switzerland's two federal institutes of technology, alongside ETH Zurich. Its main campus is in Lausanne, and it also runs sites in Neuchâtel, Fribourg, Sion and Geneva. EPFL teaches and researches across engineering, computer and communication sciences, life sciences and basic sciences, and works in English and French.
