项目介绍

2025年3月13日

This position includes an additional 6 months of funding, extending beyond the standard 3-year employment period.

The research focuses on hydrodynamic load modelling for Floating Offshore Wind Turbines (FOWTs) with flexible floaters. The primary objective is to understand how floater flexibility affects system dynamics, external and internal loads, and, in general, the outcomes of design analyses. The research will also explore how these effects can be accurately and efficiently captured in numerical simulations. Special emphasis is placed on hydrodynamic loads for floaters modelled using shell finite elements that could experience both linear and nonlinear structural behaviour.

Three different approaches are planned for coupled hydrodynamic-structural analysis:

1. CFD-FEM (e.g., STAR-CCM+ and Abaqus co-simulation)
2. AI-accelerated CFD-FEM by user coding to integrate machine learning into Approach #1.
3. Potential theory-based FEM

The accuracy and computational efficiency of the AI-accelerated CFD-FEM approach will be compared with conventional CFD-FEM and potential theory-based approaches. Numerical models are to be validated against experimental data, which may be sourced from existing literature or generated through experimental work at NTNU.

Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, in and outside academia.

Your immediate leader will be the Head of Department.

Duties of the position

• Conduct original, cutting-edge research, including critical literature review to identify the state-of-the-art and research gaps, designing research projects and methodologies, and generating, collecting, and analysing data. 
• Publish findings in top-tier journals and present at international conferences. 
• Collaborate actively within the project team and with external partners. 
• Engage in professional development through attending seminars, lectures, and workshops as well as networking (all supported financially and professionally).
• Participate in teaching courses and workshops as well as the supervision of master’s students.

Required selection criteria

• A relevant background in Marine, Mechanical, Aerospace or Structural Engineering, or a related discipline. 
• Strong knowledge in hydrodynamics. 
• Familiarity with marine CFD.
• Expertise in potential theory based hydrodynamic codes in both frequency domain and time domain.
• Familiarity with finite element method.
• Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master’s level.
• You must have a strong academic background from your previous studies and an average grade from the master’s degree program, or equivalent education, which is equal to B or better compared with NTNU’s grading scale. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education.
• Master’s students can apply, but the master’s degree must be obtained and documented by August 2025.
• You must meet the requirements for admission to the faculty’s doctoral program (https://www.ntnu.edu/studies/phiv).
• Good command of English both written and spoken.

The appointment is to be made in accordance with Regulations on terms of employment for positions such as postdoctoral fellow, Phd candidate, research assistant and specialist candidate and Regulations concerning the degrees of Philosophiae Doctor (PhD) and Philosophiae Doctor (PhD) in artistic research at the Norwegian University of Science and Technology (NTNU)

Preferred selection criteria

• Proficiency in finite element analysis, especially with Abaqus.
• Familiarity with OpenFAST and its modules.
• Familiarity with STAR-CCM+.
• Familiarity with machine learning models.
• Programming skills in Python, Fortran, and C++.

Personal characteristics

•         Self-motivated with intellectual curiosity.
•         Strong critical thinking and problem-solving skills.
•         Attention to detail.
•         Excellent communication, collaboration, and networking abilities.
•         Ability to work independently and as part of a team. 

Emphasis will be placed on personal and interpersonal qualities.

We offer

• Exciting and stimulating tasks in a strong international academic environment
• An open and inclusive work environment with dedicated colleagues
• Favourable terms in the Norwegian Public Service Pension Fund
• employee benefits

Salary and conditions

As a PhD candidate (code 1017) you are normally paid from gross NOK 536 200 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

The period of employment is 3.5 years with 15 % teaching duties dedicated to the department.

Appointment to a PhD position requires that you are admitted to the PhD programme in Engineering within three months of employment, and that you participate in an organized PhD programme during the employment period. 

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The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. 

After the appointment you must assume that there may be changes in the area of work.

It is a prerequisite you can be present at and accessible to the institution on a daily basis.

About the application

The application and supporting documentation to be used as the basis for the assessment must be in English.

Publications and other scientific work must follow the application. Please note that your application will be considered based solely on information submitted by the application deadline. You must therefore ensure that your application clearly demonstrates how your skills and experience fulfil the criteria specified above.

The application must include.

• CV and certificates.
• Transcripts and diplomas for bachelor’s and master’s degrees. If you have not completed the master’s degree, you must submit a confirmation that the master’s thesis has been submitted.
• A copy of the master’s thesis. If you recently have submitted your master’s thesis, you can attach a draft of the thesis. Documentation of a completed master’s degree must be presented before taking up the position.
• A cover letter explaining your motivation and qualifications for the position. 
• A research proposal aligned with the position’s objectives including a brief background and the state-of-the-art, research questions, methodologies, and anticipated outcomes. 
• Contact information for three referees. 
• Documents indicating research or professional background relevant to the position (publications, project report, etc.).

If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both bachelor’s and master’s education, in addition to other higher education. Description of the documentation required can be found here. If you already have a statement from NOKUT, please attach this as well. 

We will take joint work into account. If it is difficult to identify your efforts in the joint work, you must enclose a short description of your participation.

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates.

NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment – DORA.

General information

NTNU believes that inclusion and diversity is our strength. We want to recruit people with different competencies, educational backgrounds, life experiences and perspectives to contribute to solving our social responsibilities within education and research. We will facilitate for our employees’ needs.

NTNU is working actively to increase the number of women employed in scientific positions and has a number of resources to promote equality.

As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.

A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you want to reserve yourself from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the reservation is not accepted.

If you have any questions about the position, please contact Associate Professor Mojtaba Mokhtari, mojtaba.mokhtari@ntnu.no. If you have any questions about the recruitment process, please contact Marit Gjersvold, marit.gjersvold@ntnu.no.

If you think this looks interesting and in line with your qualifications, please submit your application electronically via jobbnorge.no with your supporting documents attached. Applications submitted elsewhere will not be considered. Upon request, you must be able to obtain certified copies of your documentation.  

Application deadline: 31.03.2025

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For practical information about working at NTNU, please visit this webpage. 
 

The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the tech capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.