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Børge Rokseth

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PhD Candidate in Intelligent Navigation and Risk-Based Route Planning Norwegian University of Science and Technology in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Dec 1, 2026

Country flag

Country

Norway

University

Norwegian University of Science and Technology

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Keywords

Computer Science
Electrical Engineering
Information Technology
Model Uncertainty
ML

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About this position

This PhD position at Norwegian University of Science and Technology (NTNU) is part of the Norwegian Maritime AI Centre, led by NTNU and bringing together researchers, industry, and public partners to develop AI applications for the maritime sector.

The project focuses on intelligent navigation and risk-based route planning for safer and more sustainable maritime operations. The doctoral work will develop AI methods for navigational situational awareness and decision support, with attention to how maritime data can be used to assess risk and inform route and speed choices under uncertainty.

The research is built around two centre use cases. The first concerns AI-driven use of S-100 electronic navigational chart data to identify hazards along a vessel’s path, taking into account vessel position, motion, draught, stopping distance, maneuvering capability, historical AIS tracks, and explainable warnings or recommendations. The second focuses on wind-assisted propulsion, studying how wind and environmental forecasts can support voyage planning and how plans can be adapted when real conditions change.

The project links situational assessment with longer-horizon voyage planning, examining how uncertainty in data and forecasts affects navigation and how machine learning can be combined with established vessel-behavior and navigation models. The candidate will work closely with industry and public partners in the centre and participate in its activities, conferences, and possible research stays abroad.

The position is supervised by Associate Professor Børge Rokseth in the Department of Engineering Cybernetics, a department focused on automatic control and monitoring of dynamic systems and close collaboration with industry and academia. The broader centre includes many research and user partners across the maritime sector.

The appointment is a 3-year PhD position with work in an international and collaborative research environment at NTNU in Trondheim.

Funding details

Available

What's required

Applicants must have a Master's degree in engineering cybernetics, robotics, control engineering, applied mathematics, or another closely related discipline; applicants with other engineering or informatics degrees must document an equivalent background in the required subjects. The degree must correspond to a five-year Norwegian programme including 120 credits at master's level, and master's students may apply only if the degree will be completed before start. A strong academic background is required, with an average grade equivalent to B or better on NTNU's scale, or an equally strong academic foundation if grades are not letter-based. Candidates must meet admission requirements for the PhD programme in Engineering Cybernetics. Strong foundations in mathematical modelling, dynamical systems, control theory, and machine learning are required, as well as good programming skills in Python, MATLAB, C++, or similar. Good written and oral English is required, and non-native English or Scandinavian speakers must document proficiency such as TOEFL. Preferred experience includes maritime navigation, vessel dynamics, maritime risk assessment, simulation-based evaluation, uncertainty modelling, or risk-based decision-making.

How to apply

Apply electronically via Jobbnorge.no. Upload transcripts and diplomas, CV, master's thesis or draft, motivation letter, relevant publications/certificates, and contact details for at least two referees. If your education was taken abroad, include documentation of scope and quality and any diploma supplement or HK-dir statement.

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Professors

Associate Professor at Norwegian University of Science and Technology

University Name
Country flag

Norway

Research Interests

Computer Science

Electrical Engineering

Ml

Model Uncertainty

Information Technology