KTH Royal Institute of Technology
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1 week ago
PhD Positions in Robot Learning for Manipulation at KTH Royal Institute of Technology KTH Royal Institute of Technology in Sweden
Degree Level
PhD
Field of study
Computer Science
Funding
The positions are fully funded with a monthly salary according to KTH's doctoral student salary agreement. Employment is full-time and includes employee benefits. The total length of employment is up to four years for a doctoral degree, with possible annual renewals.
Deadline
Expired
Country
Sweden
University
KTH Royal Institute of Technology

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About this position
Two fully funded PhD positions are available in the group of Professor Danica Kragic Jensfelt at the Department of Robotics, Perception, and Learning, KTH Royal Institute of Technology, Stockholm, Sweden. The research focuses on robot learning for manipulation, with an emphasis on leveraging recent advances in Vision-Language-Action (VLA) models for tabletop manipulation tasks. The projects aim to enhance perception and control by utilizing whole-body motion to solve complex mobile manipulation challenges.
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, robot perception, navigation, or manipulation. The positions are part of the Computer Science doctoral program at KTH, a leading international technical university known for its dynamic research environment and commitment to sustainability, equality, and innovation.
Eligibility requires a second cycle degree (such as a master's) or equivalent, with at least 240 higher education credits (including 60 at the second-cycle level), and proficiency in English equivalent to English B/6. Selection will consider academic qualifications, relevant experience, motivation, and personal skills such as independence, collaboration, and analytical ability.
The positions are fully funded, offering a monthly salary according to KTH's doctoral student salary agreement, full-time employment, and a range of employee benefits. The total duration is up to four years, with annual renewals possible. The application deadline is March 5, 2025.
To apply, candidates must submit a complete application via the KTH Application Portal, including a CV, application letter, diplomas, transcripts, proof of English proficiency, and representative publications. For more information, visit the official job posting or contact Professor Danica Kragic Jensfelt at [email protected].
Funding details
The positions are fully funded with a monthly salary according to KTH's doctoral student salary agreement. Employment is full-time and includes employee benefits. The total length of employment is up to four years for a doctoral degree, with possible annual renewals.
What's required
Applicants must have a second cycle degree (such as a master's degree) or have completed at least 240 higher education credits, with at least 60 at the second-cycle level, or possess equivalent knowledge. Demonstrated experience in two or more of the following areas is required: deep learning, reinforcement learning, robot perception, navigation, or manipulation. Proficiency in English equivalent to English B/6 is mandatory. Candidates should be goal-oriented, able to work independently and collaboratively, and possess strong analytical skills. Personal skills and motivation are also important selection criteria.
How to apply
Apply through the KTH Application Portal. Prepare a CV, application letter, diplomas, transcripts, proof of English proficiency, and representative publications. Ensure your application is complete and submitted by the deadline.
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