PhD Research Fellow in Learning-based Control of Autonomous Robot Manipulation
Explore learning-based control and advanced perception to drive autonomous robot manipulation in challenging environments.
Best for:Best for master's graduates in mechatronics, robotics, or control systems with a strong foundation in machine learning and algorithmic development.
Overview
The University of Agder offers a three-year fixed-term PhD Research Fellow position in Mechatronics at Campus Grimstad. Affiliated with the Department of Engineering Sciences and the Robotics and Automation research group, the project focuses on developing learning-based control algorithms and perception techniques for robotic manipulation. The successful candidate will investigate adaptive control methods and visual perception systems to enable autonomous task execution for offshore and industrial applications. Candidates are expected to conduct experimental validation at the Motion Lab, author high-impact scientific publications, and fulfill coursework requirements for admission to the faculty PhD programme.
What you'll do
- Design and investigate data-driven and learning-based control algorithms to improve robotic manipulation autonomy.
- Develop advanced visual perception methods for reliable object detection and scene understanding under adverse conditions.
- Test and validate developed algorithms on real robotic hardware platforms located at the Motion Lab.
- Prepare, draft, and submit research reports and scientific articles for publication in peer-reviewed venues.
- Participate in international dissemination activities and collaborative research visits with partner universities.
- Contribute to the active academic environment and research community within the Department of Engineering Sciences.
Requirements
Degree required: Master's degree in mechatronics, control systems, robotics, or a closely related field
Degree offered: PhD
Language: English; IELTS 6.5 or TOEFL 90 minimum, unless exempt per NOKUT guidelines
Instruction: English
Publications: Not strictly required for entry, but a track record of scientific publications is considered an advantage.
- Master's degree obtained within the last five years with a grade average of B or higher
- Academic background in advanced control theory, robotics, or mechatronics
- Demonstrated programming capability in languages such as Matlab, Python, C, or C++
- Capacity for independent, goal-oriented research and strong teamwork abilities
- Master's degree completed within the last five years
- Must meet academic grade thresholds including a grade B or higher on the master's thesis
- Must be eligible for admission to UiA’s PhD programme at the Faculty of Engineering and Science
- Must pass an export control screening related to strategic goods, services, and technology
Funding & terms
How to apply
Deadline: 2026-10-28
Applicants must submit their complete application package electronically via the official job portal link. Ensure all transcripts, diplomas, motivation letters, and reference details are uploaded before the deadline in English or a Scandinavian language.
- Transcripts and diplomas for master’s and bachelor’s studies with grades
- Summary of the Master Thesis
- CV with detailed education, work experience, and a list of scientific publications
- Letter of motivation and brief project description
- Up to 5 academic articles
- Names and contact information of 2 referees
Contact
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