PhD Candidate in Intelligent Navigation and Risk Based Route Planning

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At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.

You will find more information about working at NTNU and the application process here.

   

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About the position

The PhD research project is part of the new Norwegian Maritime AI Centre, led by NTNU.

Digitalization and AI are transforming society at an unprecedented pace. Integrating artificial intelligence (AI) into the maritime industry is not just a trend but a shift that is redefining the future. The maritime industry is now embracing AI with great enthusiasm, and the mission of the Norwegian Maritime AI Center is therefore to accelerate operationalization of AI in the maritime value chains.  

The objective of this PhD project is to develop AI enabled route planning and navigational intelligence for risk based and energy efficient maritime navigation. The work will use the emerging IHO S100 maritime data standard together with historical, real-time and forecast information including shipping traffic, navigational hazards, bathymetry, and metocean conditions such as waves, currents, water levels, wind, and ice. Machine learning models will be developed to forecast future variations in such dynamic conditions and to incorporate the operational state of the vessel into routing decisions. The resulting route planning solutions will support improved navigational safety, operational resilience and reduced emissions both for conventional and autonomous vessels.

The research will be carried out together with industry and public partners in the Norwegian Maritime AI Centre, with opportunities to contribute to emerging maritime capabilities such as S100 based navigational data services, energy and weather optimal voyage planning including wind assisted propulsion, enhanced situational awareness for safe navigation, and predictive management of green energy storage systems.

The PhD candidate will be supervised by Associate Professor Børge Rokseth.

About the project

About the Norwegian Maritime AI Centre

The center shall position the maritime sector for accelerated and successful use of AI. The demand for safe and sustainable maritime activities, as well as the shortage of crew and engineers, are key drivers for change in the maritime sector. At the same time, there is a pull for growth, increased efficiency and profitability, while managing volatility in the markets. Moreover, the sector is critically important for global supply chains and security in a tense geopolitical situation. To demonstrate and prototype maritime AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and ship surveillance; Decarbonization and energy management; Autonomous ships and remote control.  

The research partners are the Norwegian University of Science and Technology (NTNU), University of Oslo, Oslo School of Architecture and Design, Royal Norwegian Naval Academy, Norwegian Mapping Authority, MET and SINTEF Nordvest. There are about 30 user partners from the maritime sector, in addition to hundreds of members of the Maritime Forum, Blue Maritime, Ocean Autonomy, and Maritime CleanTech clusters. The center will be a hub, orchestrating the interfaces with research partners and user partners to facilitate collaboration, knowledge creation, dissemination, innovation, and sharing of knowledge. The Norwegian Maritime AI Center is funded by the Research Council of Norway and the partners for the period 2026-2030. There will be approximately 25 doctoral scholarships and some postdoc positions. More information can be found here: https://www.ntnu.edu/mai .

Duties of the position

• Complete the doctoral education until obtaining a doctorate
• Carry out research of good quality within the framework described above
• Academic publications and popular science dissemination
• Participate in the Norwegian Maritime AI Centre activities 
• Participate in international activities such as conferences and/or research stays at foreign educational institutions
• Other career-promoting work can be discussed and agreed

Required selection criteria

• You must have strong competence in modelling, control, optimization or artificial intelligence, including good programming skills. This background is typically obtained through studies in engineering cybernetics, robotics, control engineering, marine engineering, mechanical engineering, electrical engineering, applied mathematics, or similar engineering disciplines. Experience or interest in maritime risk assessment and navigation is considered an advantage.
• You must have a Master's degree in engineering, informatics, or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master's students can apply, but the master's degree must be obtained and documented before starting the position and no later than September 2026.
• You must have a strong academic background from your previous studies and have an average grade from your Master's degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you have a weaker grade background, you may be considered if you can document that you are particularly suitable for a PhD education.
• You must meet the requirements for admission to PhD program in Engineering Cybernetics . 
• If your native language is not English or Scandinavian, you need to have documentation of your English language skills, e.g. TOEFL.

PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”.

The appointment is to be made in accordance with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU)for general criteria for the position.

Preferred selection criteria

• Experience with machine learning or other relevant AI technologies
• Experience with risk assessment or safety engineering, preferably within maritime domains
• Knowledge of ship dynamics and simulation tools for marine systems
• Knowledge of nautical operations or ship navigation concepts is beneficial
• Good oral and written presentation skills in Norwegian/Scandinavian language 

Personal characteristics

To complete a doctoral degree (PhD), it is important that you are able to: 

• Work in interdisciplinary teams with researchers, industry and government.
• Work in a structured way, set goals and make plans to achieve them
• Show curiosity and a strong motivation for the subject
• Take initiative and work independently when needed
• Contribute to a positive, inclusive and collaborative working environment

Emphasis will be placed on personal qualities.

We offer

• An exciting job with an important mission in society
• Developing tasks in a strong and international professional environment
• Career guidance and follow-up during the PhD period
• Open and inclusive working environment with committed colleagues
• Working capital that can be used to implement the project
• Mentor programme as a new employee at NTNU
• Training during working hours and company sports at NTNU 
• As a public employee, you have favorable benefits as a member of the Norwegian Public Service Pension Fund (SPK)

You will be employed as a PhD Candidate at NTNU and will have access to employee benefits and discounts .

Diversity

Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values ​​are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals. 

We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education. 

If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time.

At NTNU we want to increase the proportion of women in scientific positions. We have a number of measures to promote equality. 

Salary and conditions

In the position of PhD Candidate, code 1017, your gross salary will normally be NOK 550 800,- per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary. 

The employment period is 3 years.

For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD program in Engineering Cybernetics within three months of your employment contract start date, and that you participate in an organized doctoral program throughout the period of employment.

As an employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them.

For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.

About the application

The attachments (including a description of your scientific work) must accompany the application as these documents form the basis of the application assessment. The documents must be in Norwegian/a Scandinavian language or English. 

Please note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above. The application and all attachments must be sent electronically via Jobbnorge.no. If you are invited to an interview, you must bring certified copies of certificates and diplomas upon request.

The application must include:

• Transcripts and diplomas for Bachelor's and Master's degrees
• CV 
• Copy of Master's thesis. If you have recently 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.
• Short letter of motivation (400 words/1 page)
• Possibly publications etc. other relevant research work
• Possibly certificates
• Names and contact information of minimum two relevant referees

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. If your institution uses “diploma supplement” (normal for most European institutions), you must attach this. A description of the documentation required can also be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills (HK-dir), please attach this as well.

Joint work will be considered. If it is difficult to identify your contribution to joint work, you must attach a brief description of your participation.

When assessing the best qualified, we emphasize necessary qualifications such as education, experience and personal suitability. Motivation for the position, ambitions, and potential for research will also count when assessing the candidates.

NTNU recognizes a wide range of academic contributions and has committed itself to The San Francisco Declaration on Research Assessment and CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission).

The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to be in conflict with the criteria in the latter act, will not be able to be employed.

Please note that the person hired will work with critical infrastructure and areas affected by controls on the export of strategic goods, services and technology. Candidates who do not meet the requirements for the necessary security clearance, access clearance and authorization as described in the National Security Act, the Export Control Act and the Act on the Implementation of International Sanctions (Sanctions Act) cannot be considered (e.g. candidates from, among others, Russia, Iran, North Korea, China).

General information

A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt 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 exemption is not granted.

If you think this position looks interesting and in line with your qualifications, you are welcome to apply.

If you have any questions about the position, please contact Associate Professor Børge Rokseth, email: borge.rokseth@ntnu.no . If you have any questions about the recruitment process, please contact HR Consultant Berit Dahl, email: berit.dahl@ntnu.no .

Application deadline: 17.01.2026.

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.