项目介绍

2026年7月16日

A PhD Position in Close Collaboration with the Maritime Industry

A ship is designed once, but it is lived with for decades. Moreover, a ship design company rarely works with just one ship. It works with an idea of a ship, designs that get evolved, customised, and built each time differently. At any moment, different instances of that idea exist side by side: some still on the drawing board, some under construction, others already operating and sending back streams of sensor data from daily operation. The knowledge that connects these instances, and that connects design, construction, and operation more broadly, rarely lives in one coherent place. It is scattered across documents, tools, and people, out of reach of the AI methods that could otherwise make efficient use of it.

This PhD position aims to investigate how such knowledge could be represented so it holds together across many instances and lifecycle phases of a ship, and becomes something AI methods, not only engineers, can work with directly. This includes examining how components, systems, and the dependencies between them might be captured in a shared structure, and comparing candidate approaches, such as ontologies, knowledge graphs, graph databases, or multi taxonomy databases, and the AI techniques needed to build and query them, to see where each fits, where each falls short, and whether a hybrid solution serves better. 

A good representation should not only describe a vessel as it is, but support AI-assisted inference: surfacing what else is affected by a change, what may be missing from an incomplete design, or what the likely consequences are elsewhere in the vessel. Whether such a representation should fit existing practices and tools, or justify changing them, is itself an open question, to be weighed against the time and value it can bring to the industry.

Part of the motivation is that design and operational data, gathered across many vessels and many projects, could form one coherent body of knowledge that AI methods can search and learn from, helping surface relevant precedent and consequences for new designs rather than starting each one from scattered documents and individual experience. Turning that possibility into something concrete is part of the candidate’s task, who will narrow this broad research space toward specific applications and evaluate them against real design tasks.

The work is carried out in close, ongoing cooperation with the local maritime industry, grounded in real vessels, real data, and real engineering problems. Candidates should be available and able to obtain any necessary clearance to work directly and regularly with the project’s industrial partners.

In short, this PhD position aims to investigate: 

• How one design, one idea of a ship, exists as many instances at once: on paper, under construction, or already at sea
• Why the knowledge connecting design, construction, and operation stays scattered across documents and tools, out of reach of AI
• How components, systems, and their dependencies could be represented in a way that works across all of these instances, and support AI-assisted inference about missing information or the consequences of change
• Whether ontologies, knowledge graphs, graph databases, multi taxonomy databases, or hybrid approaches, together with the AI methods to build and query them, are the right fit, and where each may fall short
• How AI could help turn design and operational data from many vessels into a coherent body of knowledge that informs new designs
• Whether such a representation should fit existing industry practice, or justify changing it, weighed against the value it brings 

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.

About the project

The PhD project will be part of the Norwegian Maritime AI Center that aims to accelerate operationalization of AI in the maritime value chains. 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

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.

Duties of the position

• Take part in the mandatory PhD research education program obtaining a doctorate
• Develop research and AI applied to the Maritime Domain, with strong cooperation with the industrial partners
• Collaborate effectively within the research team, remaining open to constructive feedback throughout the research process
• Carry out research of good quality within the framework described above
• Participate actively in discussion with the industrial partners
• Participate in activities in the Maritime AI center
• Participate in relevant dissemination activities for the academia and industry
• Conduct independent research and publish the result in recognized scientific journals and present them at international conferences

Be prepared for changes to your work duties after employment.

Required selection criteria

• You must have a relevant Master’s degree in Engineering, Naval Architecture, Computer Science 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 students can apply, but the master’s degree must be obtained and documented before starting the position.
• 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 maybe considered if you can document that you are particularly suitable for a PhD education.
• Affinity with programming, AI-related tools and a desire to work with the development of applied computational tools
• You must meet the requirements for admission to the faculty’s Doctoral Programme in Engineering
• Excellent oral and written presentation skills in English

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

• Practical experience from industry, applied research, or experimental projects related to the maritime industry and technology
• Previous experience with AI projects related to research or the industry
• Interest in innovation, technology development, and applied research
• Experience with simulation environments, digital twins, or real-time systems

Personal characteristics

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

• Balance between work independently on long-term projects while collaborating with the research group
• Show good communication skills and open to discussion
• Work in close contact with the maritime industry 
• Collaborative skills, including the ability to negotiate and find agreements within a team
• Present and discuss your research with other professionals and travel to international partners 
• Show openness to feedback and external input, while still taking ownership of research direction
• Be flexible in navigating the uncertainty and ambiguity inherent to a research project

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
• Open and inclusive working environment with committed colleagues
• Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK)
• Free Norwegian language training at a basic level (A2)

As a PhD Candidate at NTNU, you will have access to employee benefits.

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. (delete if not applicable)

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 the doctoral work.

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

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 bein conflict with the criteria in the latter act, will not be able to be employed.

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.
• Project outline containing proposals for an overall description of research questions, theoretical perspectives, methodological design for the project and progress plan (maximum 1500 words/4 pages) 
• Possibly publications etc. other relevant research work
• Possibly certificates
• Names and contact information of three relevant referees