PhD: AI-Driven Smart Materials for Offshore

Ntnu; Trondheim; Hybrid; NOK 522,000 - 638,000; Full time

Benefits offered by this job

Open and inclusive working environment

International collaboration

Professional development opportunities

Job summary

NTNU in Trondheim seeks a PhD Candidate in AI-driven smart material characterisation and modelling. The role is part of the AIMOS project, integrating AI methods for multiscale offshore structures including experimental work and numerical modelling.

You will advance predictive material models, study stiffness changes, response times and durability, and explore actuation feasibility in offshore systems. The position reports to the Head of Department.

Qualifications

• Master's degree in mechanical engineering, computer science, or equivalent, documented before 2027-01-01.
• Very good English skills (written and spoken).
• Strong background in mechanical/structural engineering with material mechanics.
• Solid knowledge of finite-element analyses and computational plasticity.
• Strong programming skills in Python and experience with AI/data-driven methods.
• Experience with experimental work or data analysis.

Responsibilities

• Take courses totaling at least 30 ECTS.
• Carry out high-quality research within AIMOS scope.
• Publish academic work and disseminate popular science.
• Collaborate with AIMOS candidates on fluid-structure interaction and AI.
• Participate in the SIMLab research group and related activities.

Skills

English proficiency

Independent work

Team collaboration

Education

Master's degree in mechanical engineering or computer science (5-year Norwegian program)

Tools

Python

Finite-element analysis

AI frameworks

Job description

NTNU in Trondheim seeks a PhD Candidate in AI-driven smart material characterisation and modelling. The role is part of the AIMOS project, integrating AI methods for multiscale offshore structures including experimental work and numerical modelling.

You will advance predictive material models, study stiffness changes, response times and durability, and explore actuation feasibility in offshore systems. The position reports to the Head of Department.