Publisher
source

Norwegian Institute of Science and Technology

PhD Candidate in Deep Learning-Enhanced FSI Analysis of Modular Floating Structures Norwegian University of Science and Technology in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

PhD candidate position at NTNU with gross salary normally NOK 550,800 per annum depending on qualifications and seniority. Employment period is 3 years for doctoral work plus 4 months/year of teaching assistance. Working capital is provided for the project. Standard pension and employee benefits apply.

Deadline

Sep 25, 2026

Country flag

Country

Norway

University

Norwegian Institute of Science and Technology

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Mechanical Engineering
Deep Learning
Mathematics
Fluid Mechanics
Civil Engineering
Offshore Engineering
Fluid-structure Interaction
Surrogate Modeling
Physics

Suggested positions

About this position

NTNU’s Department of Marine Technology in Trondheim, Norway, is advertising a PhD Candidate position in Deep Learning Enhanced FSI analysis of Modular Floating Structures. The project sits at the intersection of marine technology, offshore engineering, fluid-structure interaction, hydrodynamics, structural mechanics, and machine learning, and is part of the AIMOS project (Artificial Intelligence for Multiscale Offshore Structures).

The research will develop physics-informed deep learning and surrogate modelling methods to accelerate simulation, uncertainty quantification, structural response prediction, and digital twin capabilities for multi-modular floating structures. The work involves coupled CFD–FEM/FEA simulation, analysis of wave-induced motions, connector loads, mooring loads, structural deformation, resonance effects, and inter-module coupling, with validation against numerical, experimental, and field data.

Applicants should hold a relevant master’s degree in marine technology, civil engineering, mechanical engineering, applied mathematics, or an equivalent field, with a strong academic record. Required English proficiency is very good written and spoken English; applicants from non-English speaking countries outside Europe must submit an accepted language test (TOEFL, IELTS, CAE, or CPE) unless exempt under the stated rules. Preferred experience includes Python/MATLAB, CFD/FEM tools, potential flow theory, and machine learning frameworks such as PyTorch or TensorFlow.

The position is full-time and temporary. Salary is normally NOK 550,800 per year, depending on qualifications and seniority. The appointment lasts 3 years for doctoral work plus 4 months per year of teaching assistance, and includes working capital and standard NTNU employee benefits.

Apply electronically through Jobbnorge.no by 2026-09-25. The application must include transcripts and diplomas, CV, a copy or draft of the master’s thesis, a project outline (max 1500 words/4 pages), a motivation letter, relevant publications, and contact details for three referees. If your education was completed abroad, include documentation of scope and quality, diploma supplement if applicable, and any HK-dir statement.

Funding details

PhD candidate position at NTNU with gross salary normally NOK 550,800 per annum depending on qualifications and seniority. Employment period is 3 years for doctoral work plus 4 months/year of teaching assistance. Working capital is provided for the project. Standard pension and employee benefits apply.

What's required

Relevant master's degree in marine technology, civil engineering, mechanical engineering, applied mathematics or equivalent; the degree must correspond to a five-year Norwegian course with 120 credits at master's level. Applicants need a strong academic background, an average grade of B or better on NTNU's grading scale or equivalent, and must meet admission requirements for the PhD programme in Engineering. Very good written and spoken English is required. Applicants from non-English speaking countries outside Europe must provide an official language test report (TOEFL, IELTS, CAE or CPE) with the stated minimum scores. Preferred qualifications include strong background in marine/offshore/structural engineering, structural mechanics, hydrodynamics and machine learning, strong Python and/or MATLAB skills, and experience with CFD/FEM software, potential flow theory, or ML frameworks such as PyTorch or TensorFlow.

How to apply

Apply electronically via Jobbnorge.no before the deadline. Include transcripts and diplomas for Bachelor's and Master's degrees, CV, copy or draft of Master's thesis, a project outline (max 1500 words/4 pages), a short motivation letter, any relevant publications, and names/contact information for three referees. If your education was taken abroad, attach documentation of scope and quality and any diploma supplement or HK-dir statement.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?