PhD Candidate: Trustworthy Agentic AI for Maritime

Agus Hasan; Ålesund; On-site; NOK 522,000 - 638,000; Full time

Benefits offered by this job

Exciting mission in society

International environment

Mentor programme

Job summary

NTNU in Ålesund seeks a PhD Candidate to advance trustworthy agentic AI using open-weight models, with a focus on safe, transparent, and auditable decision making in maritime contexts.

The role involves developing methods for reliability, interpretability, and governance, collaborating with research partners, and contributing to publications and dissemination. The position supports 30 ECTS of coursework and requires admission to NTNU's Engineering Cybernetics PhD program.

Qualifications

• Master's degree in computer science, artificial intelligence, data science, engineering cybernetics, applied mathematics, electrical engineering or equivalent.
• Strong academic background with average grade equal to B or better.
• Admission to the faculty's doctoral programme in Engineering Cybernetics.
• Strong programming skills, in particular Python, and practical experience with modern ML frameworks.
• Non-English language applicants must present an official language test.

Responsibilities

• Conduct research on trustworthy agentic AI built on open-weight foundation models.
• Develop and evaluate methods for reliable, accountable agent behaviour.
• Validate methods on maritime and safety-relevant case studies.
• Publish academically and disseminate results.
• Participate in CPS Lab and NTNU Maritime AI Centre activities.
• Take courses totaling at least 30 ECTS.

Skills

Python

Programming skills

Education

Master's degree

Job description

NTNU in Ålesund seeks a PhD Candidate to advance trustworthy agentic AI using open-weight models, with a focus on safe, transparent, and auditable decision making in maritime contexts.

The role involves developing methods for reliability, interpretability, and governance, collaborating with research partners, and contributing to publications and dissemination. The position supports 30 ECTS of coursework and requires admission to NTNU's Engineering Cybernetics PhD program.