Postdoc in Computer Vision and AI for Marine Image Analysis DTU Compute

A postdoc position is available at the section for Visual Computing at DTU Compute. The position is part of the HAV-INNO project a multi-disciplinary collaboration at the intersection of computer vision AI and marine biology. This project aims at developing AI-based methods to transform underwater imagery from a simple visual record into a quantitative tool to measure species abundance in Denmarks diverse maritime habitats.

Join the Visual Computing (VisCom) section at DTU Compute where your expertise in computer vision deep learning and image analysis can drive transformative advances across different fields. By joining us you stand to gain extensive support unlocking your career potential. Youll have access to state-of-the-art facilities and high-performance computing resources. We actively facilitate building your professional networks through collaborations with industry and leading research institutions. Although teaching is not a formal part of the post we offer opportunities to build your teaching portfolio and supervise undergraduate and postgraduate students on projects related to your research area from deep learning to image analysis and computer vision.

Responsibilities and qualifications
Your main task will be to develop AI-based computer vision methods to analyse underwater video sequences. Specifically your primary focus will be obtaining the MaxN (i.e. the highest number of individuals of a single species visible in any single frame of a video) in a large collection of data to ultimately estimate species abundance.

The work includes:

• Conducting cutting-edge research in deep learning areas such as object detection object counting anomaly detection self-supervised learning and/or image and video segmentation.
• Developing AI-based methods for detecting and identifying fish in underwater video sequences that are robust to diverse lighting environment and image acquisition conditions.
• Publishing and disseminating research results in leading international conferences and journals and contributing to collaboration and knowledge transfer among the project stakeholders.
• Student supervision and contributing to the development of a growing research environment within the Viscom section.

We are looking for candidates with:

• A research background in deep learning and computer vision
• Experience in developing methods for marine underwater images or similar
• With experience at handling a high volume of data
• Self-motivated and highly independent.

As a formal qualification you must hold a PhD degree (or equivalent).

We offer
DTU is a leading technical university globally recognized for the excellence of its research education innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation ofProfessional addition supplements can be negotiated in accordance with DTUs salary structure for scientific staff: period of employment is 2 years. Starting date is December 2026 (or according to mutual agreement). The position is a full-time position.

You can read more aboutcareer paths at DTU here.

Further information
Further information may be obtained from Juan Miguel Valverde ()

You can read more about Viscom at DTU Compute at you are applying from abroad you may find useful information on working in Denmark and at DTU atDTU Moving to Denmark.

Application procedure
Your complete online application must be submitted no later than 21 September 2026 (23:59 Danish time).

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply please open the link Apply now fill out the online application form and attach all your materials in English in one PDF file. The file must include:

• Application (cover letter)
• CV
• Academic Diplomas (MSc/PhD in English)
• List of publications
• Research statement including how your background fits the position

Applications received after the deadline will not be considered.

All interested candidates irrespective of age gender disability race religion or ethnic background are encouraged to apply. As DTU works with research in critical technology which is subject to special rules for security and export control open-source background checks may be conducted on qualified candidates for the position.

The section for Visual Computing (Viscom) is one of the 10 research section of DTU Compute. Our research is focused on medical image analysis geometry and appearance modelling computer vision multivariate statistics for images and analysis of 3D microstructures. Within these areas our overarching research aim is to make methodological contributions of broad applicability but motivated by applications and often informed by our collaborations with partners in applied domains. Our contributions have often resulted in innovation and we are proud of the fact that several start-ups have been founded by former members of the section.

DTU Compute Department of Applied Mathematics and Computer Science is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics data science computer science and computer engineering including artificial intelligence (AI) machine learning internet of things (IoT) chip design cybersecurity human-computer interaction social networks fairness and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world as a basis for the analysis design and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health green transition energy supply and life science. We collaborate with universities public and private organisations and companies in Denmark and abroad and through DTUs startup ecosystem we encourage innovation and entrepreneurship. We have a strong ethical human and sustainable approach that ensures integrity in our work. Therefore we strive for and take responsibility for driving the democratisation of digital technologies so that everyone has the opportunity to actively participate in the development and we ensure a continued open democratic and inclusive society for the benefit of all. At DTU Compute we value diversity inclusion and a flexible work-life more about us at

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DTU is one of Europes leading elite technical universities. Through research and education at an international top level we create solutions to the major societal challenges of our time and help secure Europes global leadership in sustainable technological development. Since Hans Christian Ørsted founded DTU almost 200 years ago our mission has remained the same: We develop and create value through the natural and technical sciences for the benefit of society. DTU has 13800 students 1600 PhD students and 6500 employees. We work in an international environment and have an inclusive stimulating and informal work culture. DTU has campuses in all parts of Denmark and in Greenland and collaborates with the best universities around the world.