PhD Candidate — Trustworthy Agentic AI for Maritime Systems

Norges teknisk-naturvitenskapelige universitet (NTNU)

Ålesund

On-site

NOK 522,000 - 638,000

Full time

14 days+

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Benefits offered by this job

Mentor programme
Career guidance and follow-up duringPh
Open and inclusive working environment

Job summary

NTNU in Ålesund is seeking a PhD Candidate to investigate trustworthy agentic AI using open-weight models, with a central maritime use case on condition monitoring and predictive maintenance. The project is part of the Norwegian Maritime AI Center and involves collaboration with industry partners and other research institutions.

The position offers access to world-class maritime expertise, data, and use cases, with an emphasis on interpretable, verifiable AI and safe deployment of AI agents in

Qualifications

  • Master's degree in CS/AI/data science or related, with 120 credits at master's level.
  • Strong academic record with grade of B or better per NTNU scale.
  • Meet admission requirements for Engineering Cybernetics PhD programme.
  • Strong Python programming and ML framework experience.

Responsibilities

  • Research trustworthy agentic AI built on open-weight models and architectures.
  • Develop methods for reliable, accountable agent behaviour (uncertainty, interpretability, alignment).
  • Validate methods on maritime and safety-critical case studies with industry partners.
  • Publish research and contribute to CPS Lab and Maritime AI Centre activities.
  • Complete minimum 30 ECTS of relevant courses during the project.

Skills

Python
Machine learning frameworks
Strong programming skills
English proficiency

Education

Master's degree in computer science or related field

Tools

ML frameworks (PyTorch, TensorFlow)

Job description

NTNU in Ålesund is seeking a PhD Candidate to investigate trustworthy agentic AI using open-weight models, with a central maritime use case on condition monitoring and predictive maintenance. The project is part of the Norwegian Maritime AI Center and involves collaboration with industry partners and other research institutions.

The position offers access to world-class maritime expertise, data, and use cases, with an emphasis on interpretable, verifiable AI and safe deployment of AI agents in

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