Pascal Oesch

University of Geneva (Switzerland) is recruiting 9 fully funded PhD positions in the FUNDIS (Foundation Models for Scientific Discovery) project. The positions focus on foundation models , self-supervised learning , world models , explainable AI , bio-inspired AI , and AI for scientific discovery , with applications across astronomy , particle physics , climate science , digital humanities , and global governance . Students will work in an outstanding multidisciplinary research environment with close collaboration across AI and domain sciences, strong publication opportunities, and international scientific collaborations. The post highlights competitive Swiss PhD salaries and co-supervision by an interdisciplinary team of PIs including Slava Voloshynovskiy, François Fleuret, Roland Bouffanais, Daniel Schaerer, Pascal Oesch, Stéphane Paltani, Tobias Golling, Sebastian Engelke, Stefan Sperlich, Béatrice Joyeux-Prunel, and Stas Smirnov. This is a PhD-level opening only. No specific eligibility details such as degree background, GPA, or language requirements are stated in the post. Application deadline: 30 August 2026 .