PhD in AI-Driven Maritime Traffic Analytics

NTNU - Norwegian University of Science and Technology

Trondheim

On-site

NOK 522,000 - 638,000

Full time

10 days ago

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Benefits offered by this job

Open and inclusive working environment
Strong international collaboration
PhD training and development

Job summary

NTNU - Norwegian University of Science and Technology invites applications for a PhD Candidate in AI for ship traffic monitoring in Trondheim. You will work within the Norwegian Maritime AI Centre, developing ML models to detect anomalies and predict trajectories using AIS and other data sources.

You will collaborate with researchers, industry partners and government agencies, aiming to advance maritime AI solutions and train within a structured doctoral program.

Qualifications

  • Documented knowledge and experience with machine learning or other relevant AI
  • Knowledge of maritime situational awareness, ship dynamics and ship surveillance sensors/systems
  • Strong academic background with high grades and Kotlin/Java/Python-like tools not required

Responsibilities

  • Complete doctoral education until obtaining a doctorate
  • Carry out research of high quality within the project scope
  • Publish academic papers and popular science material
  • Participate in NTNU Maritime AI Centre activities
  • Participate in international conferences and possible research stays
  • Discuss teaching or research infrastructure contributions if mutually agreed

Skills

Machine learning
Maritime knowledge
Norwegian/Scandinavian language

Education

Master's degree in engineering or informatics (5-year Norwegian program)

Job description

NTNU - Norwegian University of Science and Technology invites applications for a PhD Candidate in AI for ship traffic monitoring in Trondheim. You will work within the Norwegian Maritime AI Centre, developing ML models to detect anomalies and predict trajectories using AIS and other data sources.

You will collaborate with researchers, industry partners and government agencies, aiming to advance maritime AI solutions and train within a structured doctoral program.

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