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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

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Country

Norway

University

University of Agder

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Mathematics
Reinforcement Learning
Model Predictive Control
Robotics
Mechatronics
Robot Perception and Sensors
ML

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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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