Norwegian Institute of Science and Technology
1 week ago
PhD Candidate in Information Fusion and Data Assimilation for Ocean Space Utilization Norwegian University of Science and Technology in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
PhD Candidate position at NTNU with gross salary normally NOK 550,800 per annum depending on qualifications and seniority. Employment period is 3 years for the doctoral work. Standard employee benefits and pension contributions apply; no tuition or stipend details beyond salary are stated.
Deadline
Sep 28, 2026
Country
Norway
University
Norwegian Institute of Science and Technology
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About this position
NTNU (Norwegian University of Science and Technology) is advertising a PhD Candidate position in information fusion and data assimilation for ocean space utilization at the Department of Marine Technology in Trondheim, Norway.
The project is part of Arctic Ocean 2050 and involves collaboration with researchers and industry partners including DNV and Nansen Environmental and Remote Sensing Center. The research focus is on risk-informed data-fusion and data-assimilation approaches to support safer and more efficient human use of the ocean, especially in high-latitude and Arctic settings.
Relevant academic themes include marine technology, remote sensing, physics, applied mathematics, data science, AI-powered analytics, machine learning, statistical data analysis, and control engineering. The candidate will join the research groups Arctic Hive Mind and Risk, Safety and Asset Management, publish research, present at conferences, and may undertake research stays abroad.
Eligibility highlights: applicants need a relevant background in marine technology, remote sensing, physics, applied mathematics, or data science; a master's degree equivalent to a five-year Norwegian programme with 120 master's credits; a strong academic record (normally B or better on NTNU's scale); admission eligibility for the doctoral programme; and good oral and written English. Norwegian/Scandinavian language skills, Python programming, machine learning, and data-analysis experience are preferred.
Funding and terms: this is a salaried PhD employment at NTNU, normally NOK 550,800 gross per year, with a 3-year employment period. The post is full-time and based in Trondheim.
How to apply: submit the application electronically via Jobbnorge.no with transcripts and diplomas, CV, master’s thesis (or draft if recently submitted), a short motivation letter, relevant publications or research work, certificates if any, and contact details for three referees. The deadline is 28 September 2026.
Funding details
PhD Candidate position at NTNU with gross salary normally NOK 550,800 per annum depending on qualifications and seniority. Employment period is 3 years for the doctoral work. Standard employee benefits and pension contributions apply; no tuition or stipend details beyond salary are stated.
What's required
Relevant background in marine technology, remote sensing, physics, applied mathematics, or data science. Applicants must have completed or be able to complete a master's degree equivalent to a five-year Norwegian course with 120 master's credits before starting. A strong academic record is required, with a master's average grade of B or better on NTNU's scale or an equally strong academic foundation if grades are not letter-based. Applicants must meet admission requirements for the faculty's Doctoral Programme and have good oral and written English skills. Preferred qualifications include knowledge or experience in control engineering, information fusion, data assimilation, marine technology, machine learning, statistical data analysis, strong mathematics, strong Python programming, and Norwegian/Scandinavian language skills.
How to apply
Apply electronically via Jobbnorge.no. Include transcripts and diplomas for bachelor's and master's degrees, CV, copy or draft of master's thesis, a short motivation letter, relevant publications or research work, certificates if any, and names/contact information for three referees. Ensure the application clearly documents how your background matches the criteria.
More information can be found here
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