PhD Candidate: Hybrid AI for Underwater Robotics

NTNU - Norwegian University of Science and Technology; Trondheim; On-site; NOK 522,000 - 638,000; Full time

Job summary

NTNU - Norwegian University of Science and Technology is seeking a PhD Candidate to develop hybrid learning–control methods for autonomous underwater manipulation. The project is part of the Norwegian Centre for Embodied AI (NCEI) and will explore safe, robust integration of learning with model-based control.

The successful candidate will work under Professor Kristin Y. Pettersen with Professor Jan Tommy Gravdahl as co-supervisor, pursue doctoral education over three years with possible

Qualifications

• Master’s degree in cybernetics, control systems, or equivalent, with 120 credits at master's level.
• Strong academic record with average grade equal to B or better.
• Meets admission requirements for NTNU PhD program in relevant IT/EE faculty.
• English proficiency if not mother tongue (TOEFL/IELTS/CAE/CPE).

Responsibilities

• Complete doctoral education leading to the PhD degree.
• Conduct and publish high-quality research within the framework described above.
• Participate in international activities such as conferences and/or research stays abroad.
• Collaborate with other researchers within the department and across departments at NTNU.
• Supervise master’s thesis students related to the project.
• Upon agreement with the candidate and the department, the position may be extended for teaching duties.

Skills

Marine robotics

Control systems

Machine learning

Education

Master's degree in cybernetics/controls

Job description

NTNU - Norwegian University of Science and Technology is seeking a PhD Candidate to develop hybrid learning–control methods for autonomous underwater manipulation. The project is part of the Norwegian Centre for Embodied AI (NCEI) and will explore safe, robust integration of learning with model-based control.

The successful candidate will work under Professor Kristin Y. Pettersen with Professor Jan Tommy Gravdahl as co-supervisor, pursue doctoral education over three years with possible