PhD Research Fellow in Learning-based Control of Autonomous Robot Manipulation
Join the University of Agder to advance autonomous robotic manipulation through learning-based control and perception.
Best for:Best for candidates with a strong background in robotics, control theory, and machine learning looking to apply data-driven methods to real-world robotic systems.
Overview
The University of Agder is seeking a PhD Research Fellow to join the Robotics and Automation group within the Department of Engineering Sciences. This three-year position focuses on developing advanced algorithms for robust robotic manipulation in challenging environments, such as offshore exploration and maintenance. The successful candidate will integrate machine learning, control theory, and visual perception to enhance robot autonomy and precision. Research will be conducted at the Motion Lab, with opportunities for international collaboration through the NCUJ-SCORE project. Applicants are expected to contribute to high-quality scientific publications and participate in active research dissemination.
What you'll do
- Investigate and develop new algorithms for robust and adaptive robotic manipulation.
- Integrate learning-based control and perception methods to improve robot autonomy.
- Test and validate research methods using real robotic platforms at the Motion Lab.
- Draft and submit research reports and high-quality scientific articles.
- Participate in dissemination activities and international research collaborations.
- Engage in the active research community at the University of Agder.
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 92 (iBT) / 600 (PBT) for non-exempt international candidates.
Instruction: English
- Expertise in advanced control theory, robotics, or mechatronics.
- Strong academic record with a minimum grade of B in the master's degree and thesis.
- Proficiency in English, documented by TOEFL (iBT 92/PBT 600) or IELTS (6.5) if applicable.
- Capacity for independent, goal-oriented research.
- Master's degree must have been obtained within the last five years.
- Must meet the admission requirements for the PhD programme in Engineering and Science at UiA.
- Must pass a background check as required by export control regulations.
Funding & terms
How to apply
Deadline: 2026-10-28
Applications must be submitted electronically via the official portal link. Candidates must upload all required documentation, including transcripts, a CV, a motivation letter with a project description, and a summary of their master's thesis.
- CV
- Master's thesis summary
- Transcripts and diplomas
- Motivation letter and project description
- Up to 5 academic articles
- 2 reference contacts
Contact
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