PostDoc Position at EPFL on Frontier Artificial Intelligence Research

• Generative AI: development of diffusion models, flow matching, autoregressive models, normalizing flows, or related generative architectures.
• Foundation model development: novel pretraining objectives, scalable architectures, tokenization, and model adaptation strategies.
• Scalable AI training: distributed training, efficient fine-tuning, evaluation, and deployment on large-scale compute.
• Multimodal learning: representation learning and generative modeling across heterogeneous data modalities.
• AI for scientific discovery: methodological advances with potential applications across biomedical and scientific domains.

Do you have a Doctoral degree?, The role is suited for candidates with a strong machine learning background who are excited to advance the state of the art in generative AI. Prior experience with biological or biomedical data is not required. The position comes with dedicated access to the Swiss National Supercomputing Centre and the Swiss AI Initiative, and offers opportunities for collaboration across AI, science, and industry., * 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, such as diffusion models, flow matching, normalizing flows, VAEs, generative transformers, or related methods.
• Strong programming skills and experience with modern deep learning frameworks.
• Experience with large-scale model training, distributed training, or substantial compute.
• A strong publication record at top-tier machine learning conferences and/or relevant scientific journals.
• Excellent communication skills and enthusiasm for ambitious, interdisciplinary AI research.

• Competitive EPFL postdoc salary and full social benefits.
• Dedicated compute allocation on CSCS and the Swiss AI Initiative.
• A methodologically ambitious research environment at the interface of generative AI, foundation models, and scientific AI.
• Opportunities for collaboration with academic and industry partners.
• Mentorship toward an independent academic or industry research career.
• An international, collaborative environment at one of Europe's leading technical universities