Postdoctoral Positions in Robot Learning for Manipulation KTH Royal Institute of Technology in Sweden

KTH Royal Institute of Technology in Stockholm, Sweden, invites applications for postdoctoral positions in robot learning for manipulation. The successful candidates will join a leading international technical university and work on cutting-edge research exploring Vision–Language–Action (VLA) models for both tabletop and mobile robotic manipulation. The research will focus on leveraging whole-body, humanoid-style motion to enhance perception and control, enabling robots to perform complex, coordinated tasks in dynamic environments.

Applicants should have a strong background in robotics and machine learning, with demonstrated experience in at least two of the following areas: deep learning, reinforcement learning, imitation learning, robot perception, navigation, and manipulation. Experience with whole-body control, humanoid or multi-degree-of-freedom (DOF) platforms, and learning-based manipulation in simulation and/or real systems is highly valued. The position requires a doctoral degree (or equivalent foreign degree) in a relevant field, strong programming skills, an excellent research and publication record, and advanced analytical and problem-solving abilities. Proficiency in English, both written and spoken, is essential.

Preferred qualifications include a doctoral degree obtained within the last three years, pedagogical skills, awareness of diversity and equal opportunity issues (with a focus on gender equality), independence, and strong collaboration skills. The appointment is for up to two years, full-time, and offers a monthly salary with attractive benefits and good working conditions. KTH is committed to equality, diversity, and providing a creative and dynamic research environment.

To apply, candidates must submit a complete application through KTH's recruitment system, including a CV, diplomas and grades (with translations if necessary), and a brief statement of research interests and goals (maximum two pages). The application deadline is January 15, 2026. For further information, contact Professor Danica Kragic Jensfelt at [email protected]. For more details and to apply, visit the official application link.