Opportunities from University of Bern Computer Vision Group

Project 1 recruits one postdoc to study collaborative visual world-model agents, generative video modelling, memory, test-time adaptation and decision-making. Project 2 recruits two PhD candidates and one postdoc to study how pretraining data and objectives shape model priors and rapid adaptation. The positions are fully funded, with a planned start of 1 October 2026 or by agreement, and access to the Swiss AI large-scale GPU cluster plus conference and training support.

PhD applicants should have or expect to complete a master's degree in computer science, engineering, mathematics or a related field by the start date. Postdoctoral applicants should have or expect a relevant PhD and a strong research/publication record in machine learning, deep learning, computer vision or a closely related area. All applicants should have solid machine-learning foundations, applied mathematics and programming skills, experience with a major deep-learning framework, and fluent English.