University of Agder
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PhD in Learning-based Control of Autonomous Robot Manipulation at University of Agder University of Agder in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
A 3-year PhD Research Fellow position in Mechatronics. The post mentions research visits to partner universities in Japan, Canada, and the USA through the UTFORSK NCUJ-SCORE project, but does not specify stipend or tuition details.
Deadline
Oct 28, 2026
Country
Norway
University
University of Agder

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About this position
PhD opportunity in Learning-based Control of Autonomous Robot Manipulation at the University of Agder (UiA), Faculty of Engineering and Science, Campus Grimstad, in the Robotics and Automation group. The project is supervised by Jing Zhou and focuses on mechatronics, robotics, control theory, machine learning, and advanced visual perception for fully autonomous manipulation tasks.
You will work on methods that move beyond simulation and validate them on real robotic platforms at the UiA Motion Lab. The research context includes applications such as offshore exploration, maintenance, and repair, with opportunities for research visits to partner universities in Japan, Canada, and the USA through the UTFORSK NCUJ-SCORE project.
This is a 3-year PhD Research Fellow position. The post states that applicants should have a master's degree in mechatronics, control systems, robotics, or a closely related field, completed within the last five years. Helpful experience includes machine learning, model predictive control, adaptive control, reinforcement learning, robot perception, and ROS.
Deadline: 28 October 2026. The post says the application links are in the first comment.
Funding details
A 3-year PhD Research Fellow position in Mechatronics. The post mentions research visits to partner universities in Japan, Canada, and the USA through the UTFORSK NCUJ-SCORE project, but does not specify stipend or tuition details.
What's required
Applicants need a master's degree in mechatronics, control systems, robotics, or a closely related field, completed within the last five years. Experience with machine learning, model predictive control, adaptive control, reinforcement learning, robot perception, or ROS is considered a plus.
How to apply
Check the links in the first comment and apply through the linked application page. Review the full call for details on eligibility and submission requirements.
More information can be found here
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