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Patric Jensfelt

Top university

6 months ago

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 flag

Country

Sweden

University

KTH Royal Institute of Technology

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Keywords

Computer Science
Electrical Engineering
Information Technology
Computer Vision
Self-supervised Learning
Robotics
Multi-task Learning
Autonomous System

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

University Name
Country flag

Sweden

Research Interests

Cartography

Computer Graphics

Computer Vision

Pose Estimation

Multi-task Learning