Patric Jensfelt
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6 months ago
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PhD in 3D Dynamic Scene Understanding and Scene Flow at KTH Royal Institute of Technology KTH Royal Institute of Technology in Sweden
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD position funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). The student is connected to the WASP graduate school and receives a monthly salary according to KTH’s doctoral student salary agreement.
Deadline
Expired
Country
Sweden
University
KTH Royal Institute of Technology
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Keywords
About this position
PhD opportunity at KTH Royal Institute of Technology in 3D dynamic scene understanding, with a focus on scene flow estimation, robotics, perception and learning, and autonomous systems.
The project addresses a key challenge in modern perception: making 3D motion understanding generalize across different sensors and environments, while also supporting the safety and decision-making needs of autonomous systems. The research direction is strongly oriented toward self-supervised and multi-modal learning, including methods that combine LiDAR geometry and camera semantics to learn robust motion representations.
The position is hosted by the Department of Robotics, Perception and Learning at KTH and is linked to the Wallenberg AI, Autonomous Systems and Software Program (WASP). The student will also be connected to the WASP graduate school. The starting point for the project is the OpenSceneFlow codebase and related research on self-supervised scene flow.
Funding: fully funded PhD position with monthly salary according to KTH’s doctoral student salary agreement.
Eligibility highlights: a second-cycle degree (for example a master’s degree) or equivalent, or at least 240 higher education credits including 60 second-cycle credits; English equivalent to English B/6; strong ability to program and implement machine learning methods, preferably in computer vision; and good independent, collaborative, and analytical skills.
Application: apply through KTH’s recruitment system. The application must include diplomas and grades, proof of language requirements, CV, a one-page motivation/application letter, and a list of publications or technical reports. Deadline: 2026-05-15.
Funding details
Fully funded PhD position funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). The student is connected to the WASP graduate school and receives a monthly salary according to KTH’s doctoral student salary agreement.
What's required
Applicants must have basic eligibility for third-cycle studies: a second-cycle degree such as a master's degree, or at least 240 higher education credits including at least 60 second-cycle credits, or equivalent knowledge. English proficiency equivalent to English B/6 is mandatory. The selection favors candidates who are goal-oriented, persevering, able to work independently and collaboratively, communicate professionally, analyze complex issues, demonstrate proficiency in English (written and spoken), and program and implement machine learning methods, preferably connected to computer vision. Application materials must include diplomas and grades, proof of language requirements, CV, a one-page application letter addressing research motivation and fit, and a list of publications or technical reports.
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Professors
Professor and Head of PRL
Sweden
Research Interests
Cartography
Computer Graphics
Computer Vision
Pose Estimation
Multi-task Learning
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.