PhD Candidate: AI-Driven Smart Materials for Offshore

Norwegian University of Science and Technology (NTNU); Trondheim; Sur place; NOK 522 000 - 638 000; Plein temps

Avantages offerts par ce poste

Mentor programme

Pension fund (SPK)

Open and inclusive environment

Career guidance

Résumé du poste

Norwegian University of Science and Technology (NTNU) invites applications for a PhD Candidate position focused on AI-driven smart material characterisation and modelling within the AIMOS project. The research spans experimental work and computational modelling for adaptive offshore structures, with emphasis on stiffness, response times, and long-term durability.

The role combines experimentation, physics-informed modelling, and AI, under the Head of Department, and offers a path into

Qualifications

• Master's degree in mechanical engineering, computer science, or equivalent (five-year Norwegian course).
• Admission to NTNU's doctoral program before 2027.
• Very good English skills (written and spoken).
• Non-English country applicants must show official language test.

Responsabilités

• Take courses totaling at least 30 ECTS.
• Conduct high-quality research within AIMOS scope.
• Publish academic papers and popular science pieces.
• Collaborate with AIMOS PhD candidates on AI and fluid-structure topics.
• Join and contribute to the SIMLab research group.

Connaissances

Python

Finite-Elements

AI methods

Formation

Master's degree

Outils

Python

Description du poste

Norwegian University of Science and Technology (NTNU) invites applications for a PhD Candidate position focused on AI-driven smart material characterisation and modelling within the AIMOS project. The research spans experimental work and computational modelling for adaptive offshore structures, with emphasis on stiffness, response times, and long-term durability.

The role combines experimentation, physics-informed modelling, and AI, under the Head of Department, and offers a path into