Charlotte Bunne

EPFL (École Polytechnique Fédérale de Lausanne) is advertising a postdoctoral position in the Artificial Intelligence in Molecular Medicine (AIMM) Lab led by Prof. Charlotte Bunne . The position is part of an industry collaboration with Novartis and is based in Lausanne, Switzerland . The project focuses on multimodal foundation models for biological and translational research. Research directions include multimodal model development, novel pretraining objectives, tokenization, scalable architectures, multimodal representation learning, and agentic interfaces that integrate foundation models into reasoning and decision-support systems. The work also aims to support early drug discovery using public and Novartis-internal datasets. Applicants should have a PhD in machine learning, computer science, computational biology, or a closely related field (completed or near completion). The post seeks candidates with strong experience in large-scale AI development, including pretraining, fine-tuning, or scaling on substantial compute, plus a solid biological background and familiarity with multiple biological data modalities. A strong publication record at top-tier ML conferences and/or life science journals is expected, along with excellent communication skills and enthusiasm for interdisciplinary research. The appointment is 100% activity rate, with a one-year contract and a planned one-year renewal . The role includes dedicated access to the Swiss National Supercomputing Centre (CSCS) and the Swiss AI Initiative , as well as close collaboration with Novartis Biomedical Research. No stipend amount is stated. To apply, submit a CV , a 1-page statement of research interests , and the names of two references . Applications are reviewed on a rolling basis . More information is available via aimm.epfl.ch .

EPFL’s AIMM Lab is hiring a PostDoc in collaboration with Novartis for research at the intersection of computer science , biology , and early drug discovery . The project focuses on developing multimodal foundation models for biology , including new model architectures, large-scale pretraining, and agentic interfaces . The role is especially relevant for researchers with strong experience in large-scale AI development and a solid biological background . Successful candidates will work closely with Novartis Biomedical Research and benefit from dedicated compute resources through the Swiss AI Initiative . This is a strong opportunity for postdoctoral researchers interested in AI for life sciences, computational biology, and model development for biomedical applications. Applications are reviewed on a rolling basis , so early submission is encouraged. Use the linked application page to apply, and share the opportunity with others who may be interested.

EPFL’s Artificial Intelligence in Molecular Medicine (AIMM) Lab is recruiting a postdoctoral researcher for frontier research in generative AI and foundation models . The lab is led by Prof. Charlotte Bunne and is affiliated with the School of Computer and Communication Sciences, the School of Life Sciences, and the EPFL AI Center. The position is highly methodological and focuses on developing new generative modeling approaches, scalable training algorithms, and foundation model technologies. Research directions include diffusion models, flow matching, autoregressive models, normalizing flows, multimodal learning, scalable fine-tuning, evaluation, deployment, and AI for scientific discovery. The post 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. Applicants should have a PhD in machine learning, computer science, applied mathematics, statistics, physics, engineering, or a closely related field, completed or near completion. The ideal candidate will have strong expertise in generative AI, strong programming skills, experience with modern deep learning frameworks, experience with large-scale or distributed training, and a strong publication record. Prior experience with biological or biomedical data is not required. The role is a full-time postdoc (activity rate 100%) with a competitive EPFL salary and full social benefits. Applications are reviewed on a rolling basis. To apply, send a CV, a brief 1-page statement of research interests, and the names of two references. More information is available at aimm.epfl.ch .

EPFL (École Polytechnique Fédérale de Lausanne) is advertising 2 PostDoc positions in the Artificial Intelligence in Molecular Medicine (AIMM) Lab , led by Prof. Charlotte Bunne . The lab works at the intersection of computer science , biology , and molecular medicine , with affiliation to the School of Computer and Communication Sciences, the School of Life Sciences, and the EPFL AI Center. The positions focus on biological foundation models and cover the full stack of research: foundation model architecture development , novel pretraining objectives, tokenization, scalable architectures for biological data, multimodal learning across biological data modalities, agentic interfaces for reasoning and decision support, and translational applications in early drug discovery and biomedical sciences. Applicants should have a PhD in machine learning, computer science, computational biology, or a closely related field (completed or near completion). The post also asks for strong experience in large-scale AI development, a solid biological background, familiarity with biological data modalities, a strong publication record, and excellent communication skills for interdisciplinary research. Funding includes a competitive EPFL postdoc salary , full social benefits , dedicated compute access via the Swiss National Supercomputing Centre (CSCS) and the Swiss AI Initiative , and collaboration with pharmaceutical industry partners. The activity rate is 100% . Applications are reviewed on a rolling basis . To apply, send a CV , a 1-page statement of research interests , and the names of two references . More information is available at the AIMM lab website.

EPFL’s AIMM Lab (Artificial Intelligence in Molecular Medicine) is advertising two postdoctoral openings at the interface of computer science, artificial intelligence, biology, biomedical data, and personalized medicine . Opening 1: Biological foundation models — suitable for candidates with strong experience in large-scale AI development and a biological background. The role focuses on building foundation models for biological data, multimodal learning, and translational applications. Opening 2: Generative AI and foundation model methods — suitable for candidates with a strong machine learning background, especially in diffusion models, generative transformers, scalable training, or related methods. Prior experience with biological data is not required for this role. The AIMM Lab is led by Charlotte Bunne and is part of EPFL’s School of Computer Science, the Swiss Institute for Experimental Cancer Research, and the EPFL AI Center in Lausanne, Switzerland. The lab’s research aims to advance personalized medicine using machine learning and large-scale biomedical datasets, with themes including virtual patient representations, digital diagnostics, personalized therapies, and AI for biology and medicine. The positions include dedicated access to CSCS and the Swiss AI Initiative . The post states that applications are reviewed on a rolling basis , so interested candidates should apply as soon as possible through the EPFL careers pages. Relevant research keywords include foundation models, generative AI, multimodal learning, biological data, biomedical data, diffusion models, generative transformers, scalable training, and translational applications .

The AIMM Lab at the École Polytechnique Fédérale de Lausanne (EPFL) is recruiting three PhD students, as well as postdoctoral scholars and master's students, to join cutting-edge research in multimodal AI systems for biology and medicine. The lab, led by Assistant Professor Charlotte Bunne, is affiliated with the EPFL AI Center and focuses on developing new vision-language and diffusion models, agent frameworks, and multimodal architectures to advance computational biology and biomedicine. PhD candidates are encouraged to apply through the Doctoral Program in Computer and Communication Sciences (EDIC) or, for computational biology, the EDCB Doctoral School. Applicants should have a strong background in machine learning, computer science, computational biology, or biomedicine, and demonstrate motivation for research in AI-driven biomedical applications. Postdoctoral applicants should have a strong publication record in relevant conferences and journals and should contact the lab directly via email with their CV, publication list, references, and a cover letter. Master's students interested in thesis or internship projects can apply for available projects in generative AI for therapy planning, large-scale biological imaging, vision-language models for biomedicine, and reasoning in biological foundation models. Undergraduate students may apply for short-term research visits through the Summer@EPFL program. EPFL doctoral programs are typically fully funded, though specific stipend and tuition details are not provided. Application deadlines for the EDIC program are December 15 and April 15, and for the EDCB program are April 15 and November 1. For more information and to apply, visit the AIMM Lab openings page or the EPFL doctoral school websites.