PhD: AI-Driven Smart Materials for Offshore Structures

NTNU Norwegian University of Science and Technology; Norway; Presencial; NOK 522.000 - 638.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Exciting research mission

Open and inclusive environment

International collaboration

Descripción de la vacante

NTNU Norwegian University of Science and Technology seeks a PhD Candidate in AI-driven smart material characterisation and modelling at the Department of Structural Engineering. The position is part of the AIMOS project, developing AI methods for analysis, design, monitoring, and control of floating offshore systems.

The PhD focuses on experimental characterisation and computational modelling of smart materials for adaptive offshore structures, exploring mechanical behaviour, stiffness

Formación

• Master's degree or equivalent in mechanical engineering or computer science; 5-year Norwegian study structure (120 credits at master's level).
• Strong English skills (written and spoken).
• Excellent background in mechanical/structural engineering and material mechanics.
• Solid knowledge of finite-element analyses and computational plasticity.
• Strong programming skills in Python and experience with AI/data-driven methods.

Responsabilidades

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

Conocimientos

Python

Machine learning

Finite element analysis

Data analysis

English

Educación

Master's degree in mechanical engineering or computer science

Descripción del empleo

NTNU Norwegian University of Science and Technology seeks a PhD Candidate in AI-driven smart material characterisation and modelling at the Department of Structural Engineering. The position is part of the AIMOS project, developing AI methods for analysis, design, monitoring, and control of floating offshore systems.

The PhD focuses on experimental characterisation and computational modelling of smart materials for adaptive offshore structures, exploring mechanical behaviour, stiffness