PhD in Maritime AI for Smart Ship Traffic

Ntnu

Trondheim

À distance

NOK 522 000 - 638 000

Plein temps

Il y a 8 jours

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Résumé du poste

NTNU seeks a PhD Candidate in AI for ship traffic monitoring within the Department of Engineering Cybernetics in Trondheim. The project is part of the Norwegian Maritime AI Centre, focusing on machine learning to model ship trajectories and detect anomalies using AIS, weather data, and other sources.

You will collaborate with researchers, companies, and state agencies in an international setting. The candidate will be supervised by Professor Tor Arne Johansen and is expected to contribute to AI

Qualifications

  • Master's degree in engineering, informatics, or equivalent with a five-year Norwegian course structure (120 credits at master's level).
  • Strong academic record with average grade equal to B or better or documented suitability for PhD education.
  • English language documentation if not native English or Scandinavian.

Responsabilités

  • Complete doctoral education to obtain a doctorate.
  • Conduct high-quality research within AI for maritime traffic monitoring.
  • Publish academic papers and disseminate science to broader audiences.
  • Participate in center activities and international collaborations.
  • Engage in teaching or research infrastructure development as discussed.

Connaissances

Machine learning
AI/ML collaboration
Statistics
Interdisciplinary collaboration
Norwegian language (Scandinavian)

Formation

Master's degree in engineering/informatics

Outils

Python
MATLAB

Description du poste

NTNU seeks a PhD Candidate in AI for ship traffic monitoring within the Department of Engineering Cybernetics in Trondheim. The project is part of the Norwegian Maritime AI Centre, focusing on machine learning to model ship trajectories and detect anomalies using AIS, weather data, and other sources.

You will collaborate with researchers, companies, and state agencies in an international setting. The candidate will be supervised by Professor Tor Arne Johansen and is expected to contribute to AI

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