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Artificial intelligence is transforming scientific research across the globe, and one of its most exciting applications is in marine ecosystem monitoring. Researchers are increasingly using AI-powered technologies to analyze underwater images and videos, helping scientists better understand marine biodiversity, environmental changes, and ocean health.

If you are passionate about artificial intelligence, computer vision, marine biology, or machine learning, the PhD Position in AI-Enabled Marine Biological Monitoring 2026 in Norway offers an outstanding opportunity to contribute to groundbreaking research while pursuing a fully funded doctoral degree.

Hosted by the Norwegian University of Science and Technology (NTNU), this prestigious PhD position combines cutting-edge artificial intelligence with marine science to develop automated systems capable of analyzing biological data collected from underwater cameras. The successful candidate will work alongside internationally recognized researchers using advanced technologies to improve marine ecosystem monitoring.

This guide provides everything you need to know about the PhD Position in AI-Enabled Marine Biological Monitoring 2026, including eligibility requirements, scholarship benefits, research focus, required documents, application process, and frequently asked questions.

Why Study at NTNU?

The Norwegian University of Science and Technology (NTNU) is Norway's largest university and one of Europe's leading institutions in engineering, technology, natural sciences, and innovation.

Located primarily in Trondheim, NTNU is internationally respected for producing research that addresses global challenges through interdisciplinary collaboration.

Students and researchers at NTNU benefit from:

World-class laboratories
Advanced computing infrastructure
International research collaborations
Excellent supervision
Strong industry partnerships
Innovative learning environment
High-quality research facilities

NTNU is committed to advancing marine science by integrating artificial intelligence with environmental research, making it an ideal destination for aspiring researchers.

About the PhD Position in AI-Enabled Marine Biological Monitoring 2026

This fully funded doctoral position focuses on developing artificial intelligence methods for automated marine biological monitoring.

Researchers will work with large collections of underwater images and video streams generated by marine observation systems. Using machine learning and computer vision, the project aims to improve the automatic detection, identification, and monitoring of marine organisms.

This research contributes directly to:

Marine conservation
Ocean sustainability
Biodiversity monitoring
Environmental protection
Climate research
Fisheries management
Marine ecosystem assessment

The project combines AI with marine science to solve real-world environmental challenges.

Research Focus

The primary objective of this PhD is to develop intelligent systems capable of automatically analyzing marine biological data.

AI-Based Image Analysis

Researchers will design artificial intelligence algorithms capable of recognizing marine organisms from underwater images.

This reduces the need for time-consuming manual analysis while improving monitoring accuracy.

Video Stream Processing

Modern underwater cameras generate enormous amounts of video data.

The successful candidate will develop methods that automatically process continuous video streams to identify biological activity and environmental changes.

Marine Ecosystem Monitoring

The project supports long-term monitoring of marine ecosystems.

Improved monitoring helps scientists understand:

Species populations
Habitat changes
Ocean biodiversity
Environmental impacts
Climate-related ecosystem changes

Accurate data contributes to better environmental decision-making worldwide.

Benefits of the PhD Position

This opportunity provides both financial support and outstanding research experience.

Fully Funded PhD Position

The selected candidate will receive full funding throughout the doctoral programme.\The funding includes:

Competitive salary
Research funding
Employment benefits according to Norwegian regulations

Students can therefore concentrate fully on their research without worrying about tuition costs.

Access to Modern Research Facilities

NTNU provides access to advanced laboratories equipped with:

High-performance computing systems
Artificial intelligence software
Marine monitoring technologies
Advanced imaging equipment
Data analysis infrastructure

Researchers gain practical experience using some of Europe's best research facilities.

Work on Cutting-Edge Research

The project sits at the intersection of artificial intelligence and marine biology.

Researchers will contribute to technologies with applications in:

Environmental monitoring
Ocean conservation
Computer vision
Machine learning
Biodiversity research

This interdisciplinary experience is highly valuable in both academia and industry.

International Collaboration

NTNU maintains partnerships with universities and research institutions across the world.

PhD candidates benefit from:

International conferences
Joint research projects
Collaborative publications
Global networking opportunities

Working with researchers from different countries broadens both academic and professional experience.

Eligibility Criteria

Applicants must satisfy the academic requirements established by NTNU.

Master's Degree

Candidates must hold a Master's degree in a relevant discipline such as:

Computer Science
Artificial Intelligence
Machine Learning
Marine Biology
Data Science
Computer Engineering
Related fields

Equivalent qualifications may also be considered.

Artificial Intelligence Background

Applicants should possess a solid understanding of:

Machine Learning
Deep Learning
Artificial Intelligence
Data Analytics
Pattern Recognition

Previous AI research experience is highly desirable.

Image or Video Analysis Experience

Experience in computer vision, image processing, or video analysis provides a significant advantage.

Relevant technical skills may include:

Image classification
Object detection
Video analytics
Neural networks
Computer vision frameworks

Such expertise aligns closely with the project's objectives.

English Language Skills

Applicants must demonstrate excellent written and spoken English communication skills.

Since research, publications, and collaboration occur in English, effective communication is essential.

Required Application Documents

Applicants should prepare a complete application package before the deadline.

Cover Letter

Your motivation letter should explain:

Why you are interested in the project
Your research background
Relevant technical experience
Future career goals

Tailoring the letter specifically to the project can strengthen your application.

Curriculum Vitae (CV)

Your CV should include:

Educational qualifications
Research experience
Technical skills
Publications
Awards
Professional experience

Keep the document clear, organized, and up to date.

Academic Transcripts

Applicants must submit official academic transcripts covering completed university studies.

Strong academic performance increases competitiveness.

References

Applicants should provide contact details for at least two academic or professional referees.

Choose referees familiar with your research abilities and technical expertise.

How to Apply

The application process is completed online through the Jobbnorge recruitment system.

Step 1: Prepare Your Documents

Gather all required documents before beginning your online application.

Ensure every document is complete and professionally formatted.

Step 2: Complete the Online Application

Submit your application through the Jobbnorge portal.

Upload every required document before final submission.

Incomplete applications may not be reviewed.

Step 3: Submit Before the Deadline

The application deadline is: 26 July 2026

Applicants are encouraged to apply well before the deadline to avoid technical problems.

Why Norway is an Excellent Destination for PhD Research

Norway consistently ranks among the world's best countries for higher education, research quality, and quality of life.

International PhD researchers benefit from:

Excellent research funding
Competitive salaries
Safe living environment
Modern universities
Strong environmental research programs
International academic community
Excellent work-life balance

Norway's commitment to sustainability also makes it an ideal location for marine science research.

Career Opportunities After Graduation

Graduates completing this PhD will possess highly sought-after expertise combining artificial intelligence with environmental science.

Possible career paths include:

AI Research Scientist
Machine Learning Engineer
Marine Data Scientist
Computer Vision Specialist
Environmental Researcher
University Lecturer
Postdoctoral Researcher
Ocean Technology Researcher

The interdisciplinary nature of the project creates opportunities in both academia and industry.

Tips for a Strong Application

Admission to competitive PhD positions requires careful preparation.

To improve your chances:

Tailor your cover letter specifically to the research project.
Highlight experience in AI, machine learning, and computer vision.
Include research projects involving image or video analysis.
Demonstrate programming experience where applicable.
Proofread all application materials carefully.
Submit your application before the deadline.

A well-prepared application reflects professionalism and genuine research interest.

Frequently Asked Questions (FAQs)

What is the focus of the PhD Position in AI-Enabled Marine Biological Monitoring 2026?

The research focuses on developing AI methods that automatically analyze underwater images and video streams for monitoring marine ecosystems.

Which university hosts the PhD?

The position is hosted by the Norwegian University of Science and Technology (NTNU) in Norway.

Is the PhD fully funded?

Yes. The position is fully funded and includes salary together with research support.

Who can apply?

Applicants should hold a Master's degree in a relevant field together with strong knowledge of artificial intelligence or machine learning.

Experience with image or video analysis is advantageous.

What is the application deadline?

Applications must be submitted by 26 July 2026.

Late submissions are generally not accepted.

What documents are required?

Applicants need:

Cover letter
Curriculum Vitae (CV)
Academic transcripts
Contact information for at least two referees

Additional documents may be requested through the application portal.

Where is the PhD located?

The research position is based at NTNU in Norway.

How do I apply?

Applications must be submitted through the Jobbnorge online recruitment portal before the application deadline.

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PhD Position in AI-Enabled Marine Biological Monitoring 2026 in Norway | Fully Funded