Doctoral student in perception for dynamic scene understanding KTH Royal Institute of Technology in Sweden

This doctoral position at KTH Royal Institute of Technology focuses on perception for dynamic scene understanding, specifically targeting generalizable 3D dynamic scene analysis for autonomous systems. The research centers on scene flow estimation, aiming to overcome current limitations in generalization across sensor configurations and environments, and to integrate motion estimation with downstream safety requirements for autonomous planning. The project will develop a self-supervised, multi-modal model that fuses LiDAR geometry and camera semantics, enabling motion representations that generalize zero-shot to unseen real-world scenarios and align with safety and efficiency needs beyond standard geometric metrics.

The starting point for the research is the department's state-of-the-art work on self-supervised scene flow, accessible at OpenSceneFlow. The position is based in the Department of Robotics, Perception and Learning and is fully funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP), with additional connection to the WASP graduate school (WASP Graduate School). The project is supervised by Dr. Patric Jensfelt, a leading researcher in robotics and perception.

Eligibility requires a second cycle degree (such as a master's) or equivalent, or completion of at least 240 higher education credits (with at least 60 at second-cycle level), or substantially equivalent knowledge. English proficiency equivalent to English B/6 is mandatory. Candidates should demonstrate strong programming skills and experience with machine learning methods, preferably in computer vision. Selection will emphasize independence, collaboration, professionalism, analytical skills, and proficiency in English. Applications must include certified copies of diplomas and grades, proof of language requirements, CV, application letter (max 1 page), and a list of publications or technical reports.

The position offers a monthly salary according to KTH’s doctoral student salary agreement and is a full-time, temporary contract. Employment is initially for one year, renewable for up to four years total. The doctoral student will benefit from a creative and dynamic research environment, attractive employee benefits, and access to the doctoral student network at KTH. The first day of employment is September 1, or as agreed, but no later than January 7. The application deadline is May 15, 2026.

To apply, submit your application through KTH's recruitment system (application link) and ensure all required documents are included. For further information about the WASP program, visit WASP Sweden. KTH is committed to equality, diversity, and quality in education and research, offering a supportive environment for doctoral students.