Norwegian Institute of Science and Technology
2 months ago
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PhD Candidate in Arctic Maritime Operations: AI-Enabled Forecasting and Decision Support Norwegian University of Science and Technology in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
PhD position funded by NTNU and associated with the Norwegian Maritime AI Center (MAI). The appointment is for 3 years of doctoral work plus 1 year of career promotion work. Gross salary normally NOK 550,800 per annum depending on qualifications and seniority; a 2% statutory contribution to the State Pension Fund is deducted. Working capital is provided for the project.
Deadline
Expired
Country
Norway
University
Norwegian Institute of Science and Technology

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About this position
NTNU (Norwegian University of Science and Technology) is advertising a PhD Candidate in Arctic Maritime Operations: AI-Enabled Forecasting and Decision Support in the Department of Civil and Environmental Engineering in Trondheim, Norway. The project is linked to the Norwegian Maritime AI Center (MAI) and focuses on the Marginal Ice Zone, Arctic sea ice dynamics, and operational decision support for safe maritime navigation in ice-affected waters.
The research combines AI, physics-informed modelling, machine learning, numerical simulation, geospatial data, and metocean forecasting. The candidate will work with heterogeneous observations such as marine radar, cameras, satellite Earth-observation products, ice charts, and forecasts, and will help develop hybrid AI–physics workflows, AI-ready datasets, surrogate models, and prototype forecasting/scenario-evaluation tools. The project also uses the SAMS framework for operationally oriented simulation of Arctic marine systems.
This is a fully funded PhD position with NTNU funding and MAI association. The appointment is for 3 years of doctoral work plus 1 year of career promotion work. Salary is normally NOK 550,800 per year before deductions, and working capital is provided for the project. The work will be carried out in close collaboration with the Norwegian Meteorological Institute and MAI user partners such as Equinor and the Norwegian Coastal Administration.
Eligibility highlights: applicants need a relevant Master's degree in engineering, ocean technology, computer science, data science, geophysics, or equivalent; strong academic results (B or better on NTNU's scale); and good oral and written English. Norwegian language skills are preferred. Experience with numerical modelling, geospatial data, machine learning, high-performance computing, or interdisciplinary research is an advantage.
Application deadline: 2026-08-23. Apply through Jobbnorge.no and submit transcripts and diplomas, CV, thesis copy or draft, a project outline (max 1500 words/4 pages), motivation letter, relevant publications, certificates if any, and contact details for three referees. If your education was taken abroad, include the required documentation and diploma supplement.
Funding details
PhD position funded by NTNU and associated with the Norwegian Maritime AI Center (MAI). The appointment is for 3 years of doctoral work plus 1 year of career promotion work. Gross salary normally NOK 550,800 per annum depending on qualifications and seniority; a 2% statutory contribution to the State Pension Fund is deducted. Working capital is provided for the project.
What's required
Relevant Master's degree in engineering, ocean technology, computer science, data science, geophysics or equivalent; the degree must correspond to a five-year Norwegian course with 120 master's credits. Applicants must have a strong academic background with an average grade of B or better on the NTNU scale, or an equally strong foundation if grades are not letter-based. Master students may apply only if the degree is completed and documented before start. Admission to the faculty's Doctoral Programme is required within three months of employment. Good oral and written English is required; good Norwegian is preferred. Experience with numerical modelling, geospatial data, machine learning, high-performance computing, or interdisciplinary research is an advantage.
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