Roland Bouffanais

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 .

The Science in Diplomacy Lab (SiDLab) at the University of Geneva is seeking a postdoctoral researcher to join an interdisciplinary team advancing research at the intersection of computational modeling, natural language processing (NLP), data science, and global governance. This position is co-supervised by Prof. Didier Wernli and Prof. Roland Bouffanais and is part of a collaborative initiative between ETH Zürich and UNIGE, offering a unique environment for research and professional development. The successful candidate will develop innovative computational methods to analyze, simulate, and understand complex sociopolitical phenomena, including norm diffusion, collective decision-making, and policy evolution within multilateral governance systems. Key responsibilities include designing and implementing NLP pipelines to extract insights from large-scale textual corpora such as treaties, diplomatic communications, and policy documents; applying machine learning and network science to analyze multilateral interactions and institutional dynamics; and developing computational models (agent-based, Bayesian inference, or social contagion) to study norm emergence and decision-making in diplomatic negotiations. Collaboration is central to this role, with opportunities to work closely with researchers, diplomats, and policymakers from ETHZ, UNIGE, and international organizations. The position emphasizes translating research findings into actionable tools and frameworks for global governance and disseminating results through publications in leading peer-reviewed journals and presentations at international forums. Applicants should have recently completed a PhD in computer science, computational social science, data science, applied mathematics, or a related field. Technical proficiency in Python or Julia for NLP, modeling, and data analysis is required, along with experience in transformer-based models, topic modeling, semantic analysis, network analysis, Bayesian inference, or stochastic modeling. While prior experience in international relations and global governance is desirable, it is not mandatory. Fluency in English is essential. The initial appointment is for one year, with the possibility of renewal for up to two additional years based on progress and performance. The position offers access to UNIGE’s computational resources, the Faculty of Science, the Global Studies Institute, and diplomatic networks in International Geneva. Professional development opportunities include mentorship in science-diplomacy interfaces, grant writing, and policy engagement. To apply, candidates should submit a CV with publication list, a 2-page research statement outlining methodological approaches to norm diffusion or collective decision-making, and contact information for three references. Applications are reviewed on a rolling basis until December 15th, 2025, with the start date as soon as possible. For more information and to apply, visit the application link provided.