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Charlotte Bunne
Top university
3 days ago
Postdoctoral Researcher in Frontier Artificial Intelligence Research at EPFL EPFL in Switzerland
Degree Level
Postdoc
Field of study
Computer Science
Funding
Competitive EPFL postdoc salary and full social benefits; dedicated compute allocation on CSCS and the Swiss AI Initiative.
Country
Switzerland
University
EPFL
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Keywords
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About this position
The Artificial Intelligence in Molecular Medicine (AIMM) Lab at EPFL is recruiting a postdoctoral researcher for highly methodological work in frontier artificial intelligence. Led by Prof. Charlotte Bunne, the lab sits at the interface of computer science, artificial intelligence, and biomedical applications, with connections to the School of Computer and Communication Sciences, the School of Life Sciences, and the EPFL AI Center.
The project focuses on advancing generative AI and foundation models through new modeling and training methods. The successful candidate will work on diffusion models, flow matching, autoregressive and other generative architectures, as well as scalable training algorithms, model adaptation strategies, multimodal learning, and other foundation-model technologies. The advert emphasizes methodological innovation and development of approaches that can scale to large compute environments and support scientific discovery.
The post offers a research environment that combines AI, science, and industry collaboration, with dedicated access to the Swiss National Supercomputing Centre and the Swiss AI Initiative. It is positioned as an ambitious opportunity for a strong machine learning researcher who wants to push the state of the art in generative AI within an international, collaborative setting at one of Europe’s leading technical universities.
Funding details
Competitive EPFL postdoc salary and full social benefits; dedicated compute allocation on CSCS and the Swiss AI Initiative.
What's required
Applicants should have a PhD in machine learning, computer science, applied mathematics, statistics, physics, engineering, or a closely related field, completed or near completion. Demonstrated expertise in generative AI methods such as diffusion models, flow matching, normalizing flows, VAEs, generative transformers, or related approaches is required. Candidates should have strong programming skills, experience with modern deep learning frameworks, experience with large-scale or distributed model training or substantial compute, a strong publication record at top-tier machine learning conferences and/or relevant scientific journals, and excellent communication skills. Prior experience with biological or biomedical data is not required.
How to apply
Submit a CV, a one-page statement of research interests, and the names of two references. Applications are reviewed on a rolling basis, and more information is available via aimm.epfl.ch.
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Professors
Prof. at EPFL
Switzerland
Research Interests
Statistics
Artificial Intelligence
Computer Science
Biology
Biomedical Engineering
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Prepare your application
Review drafts and confirm requirements with the university.