PhD Candidate in Hybrid Learning-Control Methods for Autonomous Underwater Manipulation
Develop cutting-edge hybrid learning-control methods for autonomous underwater robotic manipulation at Norway’s leading AI research centre.
Best for:Best for early-career researchers with a strong background in control systems, marine robotics, and machine learning, eager to bridge theoretical and applied AI for autonomous underwater systems.
Overview
This PhD position at NTNU’s Department of Engineering Cybernetics focuses on advancing hybrid learning-control architectures for autonomous underwater manipulation. The candidate will join the Norwegian Centre for Embodied AI (NCEI), a national hub for research on embodied intelligence across flying, ground, and aquatic robotics. The project aims to combine modern machine learning with rigorous control systems theory to create reliable, adaptive underwater robotic systems capable of tasks like object retrieval, inspection, and maintenance. The work will leverage advanced robotic platforms and involve international collaboration, offering a unique opportunity to contribute to a transformative frontier in robotics and AI.
What you'll do
- Complete doctoral education leading to a PhD degree in Engineering Cybernetics.
- Conduct high-quality research on hybrid learning-control methods for autonomous underwater manipulation.
- Publish research findings in international conferences and journals.
- Participate in international conferences, workshops, and potential research stays abroad.
- Collaborate with researchers across NTNU and international partners.
- Supervise master’s thesis students related to the project.
- Engage in teaching assistant duties if extended beyond the initial contract period.
Requirements
Degree required: Master's degree in cybernetics, control systems, or equivalent, with a strong background in control of marine vehicles and/or robots. Additional training in machine learning methods is advantageous.
Degree offered: PhD
Language: English; TOEFL 92 (Internet-based), IELTS 6.5 (Academic), or equivalent.
Instruction: English
- Master's degree in cybernetics, control systems, or related field with 120 credits at master's level.
- Strong academic background with an average grade equivalent to B or better on NTNU’s grading scale.
- Proficiency in control of marine vehicles or robotic systems.
- Documented English proficiency (TOEFL 92, IELTS 6.5, or equivalent).
- Eligibility to work with export-restricted equipment (ITAR) as per Norwegian/EU/NATO citizenship rules.
- Citizenship of Norway, EU, Switzerland, Australia, Japan, New Zealand, or NATO countries (or evidence of ITAR eligibility for others).
- Admission to NTNU’s PhD program in Engineering Cybernetics within three months of employment start.
- Master’s degree completion (final-year students may apply with postponed start).
Funding & terms
How to apply
Applicants must submit a complete application package including CV, cover letter, academic transcripts, proof of English proficiency, and a list of publications (if any). Three references must also be provided. Applications are evaluated based on academic merit, research potential, and personal suitability. Detailed instructions for the application are available on NTNU’s vacancies page.
- CV
- Cover letter
- Academic transcripts (BSc + MSc)
- Proof of English proficiency (TOEFL/IELTS/CAE/CPE)
- List of publications (if applicable)
- Three reference letters
Contact
NTNU Recruitment· HR/Recruitment
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