University of Geneva
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Multiple PhD Positions in Foundation Models for Scientific Discovery University of Geneva in Switzerland
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 30, 2026
Country
Switzerland
University
University of Geneva

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About this position
University of Geneva is advertising multiple fully funded PhD positions in the FUNDIS (Foundation Models for Scientific Discovery) project in Geneva, Switzerland.
The project develops the next generation of AI methods for scientific discovery by combining foundation models with domain sciences. Research topics include self-supervised learning, JEPA-like architectures, world models, representation learning, explainable AI, information bottleneck theory, bio-inspired AI, reasoning and memory, vision-language models, and scientific machine learning.
Scientific application domains mentioned in the post include astronomy (SKA, JWST, Euclid), high-energy physics (ATLAS/CERN), climate science, computational art history and digital humanities, and global governance and computational diplomacy.
The positions are described as fully funded with competitive Swiss salaries, and the project offers a multidisciplinary research environment, collaboration with internationally recognized researchers, seminars, reading groups, interdisciplinary discussions, publication opportunities, and access to scientific datasets.
Applicants are welcomed from backgrounds in Computer Science, Artificial Intelligence, Mathematics, Physics, Astronomy, Cosmology, Statistics, Art, Digital Humanities, Electrical Engineering, Data Science, or closely related fields.
Deadline: 30 August 2026, 23:59 CET.
How to apply: Submit the application through the Google Forms link in the post. Review the job details carefully and complete the online form before the deadline.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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