INSAIT – Institute for Computer Science, Artificial Intelligence and Technology – is inviting applications for fully funded PhD positions in Robot Learning. This opportunity is ideal for candidates passionate about advancing the frontiers of AI and robotics, with a particular focus on foundation models for robot manipulation, reinforcement learning for robotics, dexterous manipulation, and loco-manipulation.

Successful applicants will join a world-class research environment, collaborating with leading experts including Dr. Jan-Nico Zaech, Dr. Danda Pani Paudel, and Prof. Luc Van Gool. The program offers mentorship through the prestigious Google DeepMind PhD Fellowship, access to extensive GPU resources, and the chance to contribute to state-of-the-art robotics foundation models such as SPEAR-1, the first European robotic foundational model developed at INSAIT.

Applicants should hold a Bachelor’s or Master’s degree in computer science, robotics, artificial intelligence, or a related field. A strong academic record, solid programming skills, and experience with real robotic systems are essential. The position is fully funded for up to five years, with outstanding salaries and conditions. Accepted candidates will be eligible for the Google DeepMind PhD Fellowship and will collaborate with top AI labs worldwide.

To apply, candidates should visit insait.ai/phd and submit their application online. This is a unique opportunity to work at the intersection of robot learning, deep learning, reinforcement learning, and large-scale machine learning systems, contributing to cutting-edge research in robotics and AI.