PhD in Self-Organising Maritime Autonomy & Robotics

Ntnu; Trondheim; On-site; NOK 496,000 - 606,000; Full time

Job summary

NTNU's Department of Marine Technology invites applications for a PhD Research Fellow in Self-Organising Maritime Autonomy in Trondheim. You will join a leading research environment at the intersection of robotics, AI, and autonomous systems, with access to experimental infrastructure and field-testing facilities.

The project develops resilient coordination architectures for networks of autonomous maritime robots that self-organise, negotiate roles, and adapt to changing mission needs, validated

Qualifications

• Master's degree in Marine Cybernetics, Control Engineering/Robotics, Marine operations, Underwater technology, or related fields.
• Master's degree must include a major independent project (minimum 30 ECTS) equivalent to a master’s thesis.
• English proficiency equivalent to TOEFL score of 600 or more if not mother tongue.
• Eligible for security clearance at CONFIDENTIAL level under Norwegian regulations.
• Good oral and written Norwegian or other Scandinavian language level.

Responsibilities

• Complete doctoral education and obtain a doctorate.
• Carry out research of high quality within the project framework.
• Publish academic papers and disseminate popular science.
• Participate in the AUR-Lab research group.
• Participate in field work and international conferences or research stays at foreign educational institutions.

Education

Master's degree in Marine Cybernetics, Control Engineering/Robotics, Marine operations, Underwater technology, or related fields

Job description

NTNU's Department of Marine Technology invites applications for a PhD Research Fellow in Self-Organising Maritime Autonomy in Trondheim. You will join a leading research environment at the intersection of robotics, AI, and autonomous systems, with access to experimental infrastructure and field-testing facilities.

The project develops resilient coordination architectures for networks of autonomous maritime robots that self-organise, negotiate roles, and adapt to changing mission needs, validated