PhD in Maritime AI: Ship Traffic & Anomaly Detection

Twoja Norwegia; Trondheim; Hybrid; NOK 493,000 - 667,000; Full time

Benefits offered by this job

Mentor programme as a new employee at

Favorable terms as a member of SPK

Job summary

NTNU invites applications for a PhD Candidate in the Norwegian Maritime AI Centre. The project focuses on AI-driven maritime analytics, using AIS and related data to model ship trajectories, detect anomalies, and predict future states.

You will collaborate with other PhD candidates, researchers, companies, and government partners in an international setting. You will be supervised by Professor Tor Arne Johansen and progress through a structured doctoral program within three months of employment,

Qualifications

• Master's degree in engineering, informatics, or equivalent with five-year Norwegian program credentials.
• Strong academic results with a grade of B or better on NTNU scale or equivalent.

Responsibilities

• Complete doctoral education until obtaining a doctorate.
• Carry out high-quality research within the project framework.
• Publish academically and disseminate science to a broad audience.
• Participate in Norwegian Maritime AI Centre activities and international events.
• Possibly engage in teaching or infrastructure development as discussed.

Skills

Machine learning

AI methods

Maritime technology knowledge

Interdisciplinary collaboration

Education

Master's degree in engineering or informatics

Job description

NTNU invites applications for a PhD Candidate in the Norwegian Maritime AI Centre. The project focuses on AI-driven maritime analytics, using AIS and related data to model ship trajectories, detect anomalies, and predict future states.

You will collaborate with other PhD candidates, researchers, companies, and government partners in an international setting. You will be supervised by Professor Tor Arne Johansen and progress through a structured doctoral program within three months of employment,