PhD Candidate in AI for Ship Traffic Monitoring
Develop AI models to analyze ship trajectories and maritime traffic patterns for anomaly detection and predictive analytics.
Best for:Best for recent master’s graduates in engineering, computer science, or related fields with a strong interest in AI, machine learning, and maritime technology.
Overview
This PhD position at NTNU’s Norwegian University of Science and Technology focuses on integrating artificial intelligence into maritime operations. The candidate will work within the Norwegian Maritime AI Centre, leveraging large datasets from AIS systems, weather, and navigation charts to build AI models for anomaly detection, risk analysis, and autonomous navigation. The role involves interdisciplinary collaboration with researchers, industry partners, and government agencies to advance maritime situational awareness, safety, and logistics. The successful applicant will contribute to cutting-edge research while gaining exposure to real-world applications in a dynamic and collaborative environment.
What you'll do
- Complete doctoral education to obtain a PhD in Engineering Cybernetics within three years.
- Conduct high-quality research on AI-driven ship trajectory modeling and maritime traffic pattern analysis.
- Develop machine learning models for anomaly detection, risk assessment, and predictive analytics using AIS and sensor data.
- Publish academic papers and engage in popular science dissemination to share research findings.
- Participate in Norwegian Maritime AI Centre activities, including international conferences and potential research collaborations.
- Collaborate with industry partners, government agencies, and other researchers to prototype AI solutions for maritime applications.
- Engage in teaching or research infrastructure development if mutually beneficial.
Requirements
Degree required: Master's degree in engineering cybernetics, control engineering, machine learning, informatics, mechanical engineering, maritime technology, or equivalent (corresponding to a five-year Norwegian degree with 120 credits at master’s level).
Degree offered: PhD
Language: English proficiency (TOEFL or equivalent if native language is not English or Scandinavian).
Instruction: English
- Proven academic background in engineering, informatics, or related fields.
- Strong quantitative and analytical skills, particularly in machine learning or AI.
- Experience with data analysis, statistical modeling, or computational methods.
- Familiarity with programming languages commonly used in AI research (e.g., Python, R).
- Ability to work independently and collaboratively in interdisciplinary teams.
- Must meet NTNU’s requirements for admission to the Doctoral Program in Engineering Cybernetics.
- Must be eligible for security clearance at the CONFIDENTIAL level in Norway.
- Master’s degree must be obtained and documented by September 6, 2027.
- Strong academic record with an average grade equivalent to B or better on NTNU’s grading scale.
Funding & terms
How to apply
Deadline: 2026-11-02
Submit your application electronically via Jobbnorge.no. Include a description of your scientific work and all required documents. The application will be assessed based on the information provided by the deadline. If invited for an interview, bring certified copies of certificates and diplomas.
- CV
- Cover letter
- Description of scientific work
- Master’s degree certificate and transcripts
- Proof of English proficiency (if applicable)
- Reference letters (if required)
Contact
NTNU Recruitment· PhD Vacancy Coordinator
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