PhD Candidate: AI-Enhanced Shipbuilding Planning

Arbeidsplassen; Trondheim; On-site; NOK 467,000 - 633,000; Full time

Benefits offered by this job

Free Norwegian language training at a2

Job summary

NTNU invites applications for a PhD Candidate position to conduct research on artificial intelligence for planning in shipbuilding supply chains. The PhD will develop AI methods to help coordinate operations, analyze data, and support decision-makers across multi-project supply chains in engineer-to-order shipbuilding.

You will join the Production Management Research Group and collaborate with industry and public partners within the Norwegian Maritime AI Centre, supervised by Professor Erlend

Qualifications

• Master's degree must be obtained before starting the position (by 1 Dec 2026).
• Excellent written and oral English language skills.
• Ability to obtain NATO security clearance for access to partner facilities.
• Experience with qualitative and quantitative research methods in operations and supply chains.

Responsibilities

• Complete doctoral education until doctorate.
• Carry out high-quality AI-enhanced planning research for shipbuilding supply chains.
• Apply qualitative and quantitative methodologies to develop decision-support for production planning.
• Publish results in recognized journals and present at international conferences.
• Collaborate with industry and public partners within the Norwegian Maritime AI Centre.

Skills

English proficiency

AI/ML techniques

Research methods

Industry collaboration

Education

Master's degree in Industrial Engineering, Logistics Engineering, Production Management, Supply Chain Management, Mechanical Engineering

Job description

NTNU invites applications for a PhD Candidate position to conduct research on artificial intelligence for planning in shipbuilding supply chains. The PhD will develop AI methods to help coordinate operations, analyze data, and support decision-makers across multi-project supply chains in engineer-to-order shipbuilding.

You will join the Production Management Research Group and collaborate with industry and public partners within the Norwegian Maritime AI Centre, supervised by Professor Erlend