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Norwegian University of Science and Technology

Just Landed

PhD Candidate in Multi-Robot Informative Planning for Coastal Monitoring Norwegian University of Science and Technology in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

The position is a full-time, temporary three-year PhD appointment with the possibility of up to 12 additional months for career-enhancing activities. The gross salary is normally NOK 580,000 per year, depending on qualifications and seniority, with a mandatory 2% deduction for the State Pension Fund. The position includes working capital for project implementation and membership benefits in the Norwegian Public Service Pension Fund.

Deadline

Nov 30, 2026

Country flag

Country

Norway

University

Norwegian University of Science and Technology

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Keywords

Computer Science
Environmental Science
Electrical Engineering
Underwater Robotics
Model Predictive Control
Robotics
Unmanned Aerial Vehicle
Mechatronics
ML

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About this position

The Norwegian University of Science and Technology (NTNU) in Ålesund is offering a PhD project in multi-robot informative planning for coastal monitoring. The research is part of NTNU Ålesund’s ocean-intelligence activities, which use autonomous systems to collect data for applications including fish-spawning-ground monitoring, microplastic and suspended-contamination mapping, and water-quality assessment.

The project will develop methods for teams of heterogeneous unmanned surface vehicles (USVs), supported by unmanned aerial vehicles (UAVs), that coordinate their movements and sensing in changing coastal environments. These environments may contain drifting objects, pollutant plumes, and spatially and temporally evolving environmental fields. The vehicles must build shared, predictive representations of their surroundings and make active decisions despite limited or intermittent communication, changing weather, and different vehicle capabilities.

Research may address distributed informative path and trajectory planning, multi-robot coordination, mobile-robot sensing and mapping, active decision-making, model predictive control, sampling-based planning, probabilistic mapping, and learning-based methods. The candidate can shape the project around their background and interests, with possible emphasis on planning and control, estimation and mapping, or machine learning.

The work will combine theoretical development, simulation, implementation, and field experiments. Algorithms will be tested on NTNU’s fleet of USVs and UAVs in coastal waters near Ålesund, including remote operation and supervision of robot teams. The project builds on departmental research in autonomous surface vehicles, informative path planning, online spatial-field mapping, and drifting-target tracking that has already been validated in field trials.

The PhD candidate will join the Cyber-Physical Systems Laboratory within the Department of ICT and Natural Sciences. The department’s research environment includes autonomous systems, robotics, cybernetics, artificial intelligence, energy informatics, and medical technology, with close connections to practical engineering and industry. The candidate will also participate in doctoral training, research dissemination, publications, conferences, and potentially research stays with international partner institutions.

Funding details

The position is a full-time, temporary three-year PhD appointment with the possibility of up to 12 additional months for career-enhancing activities. The gross salary is normally NOK 580,000 per year, depending on qualifications and seniority, with a mandatory 2% deduction for the State Pension Fund. The position includes working capital for project implementation and membership benefits in the Norwegian Public Service Pension Fund.

What's required

Applicants must hold a relevant Master's degree in engineering cybernetics, robotics, control engineering, marine technology, mechatronics, or a closely related field. Strong candidates with backgrounds in computer science, applied mathematics, or data science plus relevant robotics, optimization, or machine-learning experience may also be considered. The degree must correspond to a five-year Norwegian course with 120 master's-level credits, and Master's students must complete and document the degree before starting. Applicants normally need a Master's average equivalent to B or better at NTNU, although candidates with weaker grades may be considered if they demonstrate particular suitability for PhD education. Good programming skills, such as Python or C++, and eligibility for admission to NTNU's PhD programme in Engineering Cybernetics are required. Applicants from non-English-speaking countries outside Europe must provide an approved TOEFL, IELTS Academic, CAE, or CPE result meeting the stated minimum scores. Preferred qualifications include multi-agent or multi-robot systems, distributed optimization or estimation, informative path planning, model predictive control, sampling-based planning, probabilistic mapping, ROS/ROS2, robotics simulation, GPU computing, field work, marine vehicles, drones, relevant publications or open-source contributions, and applied research or industry experience. Ability to work independently and collaboratively, communicate effectively, and adapt to changing project needs is also important.

How to apply

Apply electronically through Jobbnorge.no using the direct advert application portal. Submit a CV, certificates, Bachelor's and Master's transcripts and diplomas, Master's thesis or draft, a motivation letter, a project outline, relevant publications or research work, and contact details for three referees. Foreign education requires documentation of its scope and quality, including a diploma supplement where applicable.

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