Publisher
source

Norwegian Institute of Science and Technology

PhD in Artificial Intelligence for Ship Traffic Monitoring at Norwegian University of Science and Technology Norwegian University of Science and Technology in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

Norway

University

Norwegian Institute of Science and Technology

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Keywords

Computer Science
Machine Learning
Mechanical Engineering
Artificial Intelligence
Statistics

About this position

The Norwegian University of Science and Technology (NTNU) is offering a PhD position in Artificial Intelligence for Ship Traffic Monitoring. This research opportunity is designed for candidates interested in applying AI and machine learning techniques to enhance the monitoring and management of ship traffic. The project is part of a new initiative at NTNU, Norway, and is ideal for students with a strong background in Artificial Intelligence, Engineering, Machine Learning, Mechanical Engineering, or Statistics.

The position focuses on developing advanced AI models and data-driven solutions to improve the safety, efficiency, and environmental impact of maritime operations. Candidates will have the opportunity to work in a multidisciplinary environment, collaborating with experts in AI, mechanical engineering, and statistics. The research will contribute to the growing field of intelligent transportation systems, with a specific emphasis on maritime applications.

Applicants must possess a master's degree in a relevant field. The application deadline is October 1, 2026. For more information and to apply, visit the official position page on Scholarshipscafe. This position offers a unique chance to engage in cutting-edge research at one of Norway's leading technical universities.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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