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Maciej Woźniak

Top university

6 months ago

PhD in Perception for Dynamic Scene Understanding, 3D Vision, and Autonomous Driving KTH Royal Institute of Technology in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

The position is funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). It is a full-time doctoral student employment at KTH with monthly salary according to KTH’s doctoral student salary agreement. The student will be connected to the WASP graduate school.

Deadline

Expired

Country flag

Country

Sweden

University

KTH Royal Institute of Technology

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Keywords

Computer Science
Machine Learning
Electrical Engineering
Computer Vision
Robotics
Multi-task Learning
Autonomous Vehicle

About this position

A PhD position is open at KTH Royal Institute of Technology in the area of perception for dynamic scene understanding, with a strong focus on 3D vision, scene flow estimation, robotics, machine learning, and autonomous driving.

The project is based in the Department of Robotics, Perception and Learning and aims to develop a self-supervised, multi-modal model that combines LiDAR geometry and camera semantics to learn motion representations that generalize to unseen real-world scenarios. The work is connected to the group’s prior research on self-supervised scene flow and is intended to support autonomous planning and safety-critical perception.

The position is funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP), and the student will be connected to the WASP graduate school. The announcement mentions access to strong compute resources through NSC and a research environment with an active community and colleagues.

Eligibility: applicants must have basic eligibility for doctoral studies, typically a master’s degree or equivalent, and must meet the English requirement equivalent to English B/6. The selection process also values the ability to work independently and collaboratively, a professional approach, strong English communication, and experience programming and implementing machine learning methods, preferably in computer vision.

Application: submit the application through KTH’s recruitment system with diplomas, transcripts, proof of language requirements, CV, a motivation letter, and publications/technical reports. The deadline is 2026-05-15.

Funding details

The position is funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). It is a full-time doctoral student employment at KTH with monthly salary according to KTH’s doctoral student salary agreement. The student will be connected to the WASP graduate school.

What's required

Applicants must have basic eligibility for postgraduate education, typically 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. Candidates should be goal oriented, persevering, able to collaborate, have a professional approach, analyze complex issues, demonstrate proficiency in English (written and spoken), and be able to program and implement machine learning methods preferably connected to computer vision. Strong relevance to the project and personal skills are emphasized.

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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