PhD Candidate in hybrid AI methods for ship performance modelling

About The Job

For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.

Would you like to work together with researchers and industry to create more accurate and self-learning methods for predicting the performance of ships in a seaway? In that way you will contribute to safer and more energy-efficient ship operations. That is a great challenge in the ongoing quest for making shipping greener and safer. Are you also interested in ships, or in artificial intelligence and machine learning? Then this job is for you!

The Department of Marine Technology at NTNU has a vacancy for a full-time position as a PhD Candidate. The goal is to complete a doctoral education while working on a collaborative research project together with SINTEF Ocean and Norwegian industrial partners.

Your supervisor is Professor Sverre Steen at the Department of Marine Technology, NTNU.

Your immediate leader is head of department.

Duties of the position

A PhD position has two primary goals. For one, you will learn how to do scientific research of high international standards, which shall lead to the award of a PhD degree. Second, you will produce results for the project you are working on.

Tasks Include The Following

• Take courses in the relevant technical topics for the project, comprising a minimum of 30 credits. This can include classes in hydrodynamics, ship propulsion, optimization, artificial intelligence, machine learning or similar topics.
• Practice scientific communication by writing articles and attending conferences with other scientists and PhD candidates.
• As part of the project to which the position is connected:
• Work on ship performance modelling, using a combination of conventional methods for prediction of required propulsion power and motions in waves and develop and test new data-driven methods using artificial intelligence and machine learning tools.
• Use of in-service data from the case ships of the project for use in the data-driven approaches mentioned above.
  

Required selection criteria

• Professionally relevant background in marine technology, naval architecture, computer science, physics or applied mathematics.
• Education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level.
• 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 before starting the position.
• You must meet the requirements for admission to the faculty's doctoral program https://www.ntnu.edu/studies/phiv
• Very good written and oral English language skills.
  
  

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 Philosodophiae Doctor (PhD) in artistic research national guidelines for appointment as PhD, post doctor and research assistant

Preferred Selection Criteria

• knowledge/experience with shipping and ship operations
• knowledge of ship hydrodynamics
• knowledge of and hands-on experience with machine learning and/or statistical data analysis
• strong programming skills in Python (Python Data Stack, PyTorch, etc.)
• skills in Norwegian or another Scandinavian language
  
  

Personal characteristics

• curious and eager to learn
• self-motivated
• good collaborating skills
• very good communication skills both orally and in writing
• structured and good problem-solving skills
  
  

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 532 200 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 years.

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.

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.

The position is subject to external funding.

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

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 be attached to 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.
• Name and contact information of three referees.
• If you have publications or other relevant research work they might be included.
  
  

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 Norwegian Directorate for Higher Education and Skills, 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

Working at NTNU

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.

The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation 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.

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 Sverre Steen, email [email protected]. If you have any questions about the recruitment process, please contact Marit Gjersvold, e-mail: [email protected].

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

Application deadline: 22.10.2024

NTNU - knowledge for a better world

NTNU - knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Marine Technology

We develop methods and technology related to the blue economy: oil and gas extraction at sea, ship technology and the equipment industry, fisheries and aquaculture. We also have a strong commitment to the development of sustainable solutions for offshore renewable energy, coastal infrastructure, and marine robotics. Marine technology helps to solve major global challenges related to the environment, climate, energy, food and efficient transport. The Department of Marine Technology is one of eight departments in the Faculty of Engineering.