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

DTU - Technical University of Denmark; Kongens Lyngby; On-site; DKK 420,000 - 520,000; Full time

Job summary

DTU - Technical University of Denmark's Visual Computing section invites a postdoc to advance AI-based computer vision methods for underwater video analysis, aiming to quantify species abundance in Danish marine habitats. The role emphasizes deep learning, image analysis, and collaboration with HAV-INNO project partners.

The position offers access to state-of-the-art facilities, opportunities to publish in top venues, supervision of students, and potential ties to industry and other research

Qualifications

• Strong background in deep learning and computer vision relevant to marine imagery.
• Experience with high-volume data handling and robust AI methods.
• Ability to publish results in leading conferences and journals.
• Self-motivated, independent with good collaboration skills.

Responsibilities

• Develop AI-based computer vision methods to analyse underwater video sequences.
• Focus on obtaining the MaxN metric to estimate species abundance.
• Publish and disseminate results; collaborate with project stakeholders.
• Supervise students and contribute to building a research environment.

Skills

Deep learning

Computer vision

Image analysis

Research background

Education

PhD degree

Tools

Python

PyTorch

TensorFlow

Job description

Job Description

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 Denmark's diverse maritime habitats.

Job Description

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 Denmark's 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. You'll 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 of Professional Associations. In addition, supplements can be negotiated in accordance with DTU’s salary structure for scientific staff: www.inside.dtu.dk/en/human-resources/during-employment/salary/salary-structures .

The 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 about career paths at DTU here .

Further information

Further information may be obtained from Juan Miguel Valverde ( [e-mail] )

You can read more about Viscom at www.compute.dtu.dk/sections/viscom and DTU Compute at www.compute.dtu.dk/ .

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark .

Equal opportunity statement

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.

Section and institution information

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 DTU’s 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 balance. Read more about us at www.compute.dtu.dk

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DTU is one of Europe's 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 Europe's 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 13,800 students, 1,600 PhD students, and 6,500 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.