Postdoc in the development of new technologies and advanced analytics to sustainable fishing - DTU Aqua

If you have a keen interest in computer vision, machine learning, and deep learning, and their application in species identification and automated catch registration for the advancement of commercial fisheries, this may be the perfect position for you. At DTU Aqua, you will combine these areas to help improve the environmental and economic sustainability of commercial fisheries.

You will join the Section for Fisheries Technology at DTU Aqua in Hirtshals. The section has 20 employees. We focus on developing fishing gears, techniques, and methods that promote both economic and environmental sustainability in the fishing industry.The section has a strong national and international collaborative network within the development of advanced analytics.

We offer a rewarding and challenging job in an international environment with excellent facilities for experimental studies and scientific cruise-based research. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Responsibilities
In this role, you will join a multidisciplinary team that is internationally recognized for novel research and development of new technologies and advanced analytics within fisheries research. This includes deep learning methods for analyzing images and videos, supporting species identification and automated catch registration, and ultimately advancing commercial fisheries. The team is developing fish detection, species identification and automated body size algorithms with the goal of implementing the software in an operational capacity. Your role will be to further this development by contributing with a strong background in computer vision, machine learning, quantitative analysis and programming.

You will collaborate with nearby colleagues and strengthen existing collaborations with other DTU institutes while also establishing new academic and industrial partnerships in Denmark as well as abroad. Your primary tasks will be to:

• Develop supervised, semi-supervised and/or unsupervised methods, as well as robust learning methods to detect, classify, and segment fish species in video or in real-time camera systems.
• Manage and automate the collection and labelling of new datasets.
• Combine the developed algorithms into software capable of packaging fisheries data into useable tools for end-users. 
• Produce high quality scientific and/or engineering papers suitable for publication in quality journals.
• Prepare appropriate conference papers and present those at conferences. 
• Contribute to the development of innovative concepts and ideas for further research. 
• Participate in national and international projects through the generation of new ideas in collaboration with end users.
• Competencies and qualifications
• In the assessment of the candidates, we will pay special attention to:
• Documented experience in the development and application of computer vision algorithms, machine learning and automation, and the ability to understand and develop mathematically-founded machine learning algorithms for video analyses.
• Demonstrated experience in developing and evaluating machine learning models. 
• A history of publishing in peer reviewed journals and/or authorship of scientific papers, reports, grant applications or patents.
• Proficiency in Python, C++ or equivalent.
• High-level written and oral communication skills with the ability to represent the research team effectively internally and externally, including the presentation of research outcomes at national and international conferences.

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. The allowance will be agreed upon with the relevant union.

The period of employment is 2 years.

You can read more about career paths at DTU here.

• Further information 
• Further information may be obtained from Head of Section for Fisheries Technology Jordan Feekings, +45 24895821; email: jpfe@aqua.dtu.dk

You can read more about DTU Aqua at www.aqua.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.

• Application procedure 
• Your complete online application must be submitted no later than 10 November 2025 (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 

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.

About DTU Aqua
DTU Aqua – National Institute of Aquatic Resources – works for well-functioning oceans, rivers, and lakes where biodiversity can thrive. Our research, advisory service, and education contribute to the development of a sustainable blue bioeconomy, robust aquatic ecosystems, and reduced effects of climate change. We have a large national and international network and cooperate with research partners, public authorities, industry, and NGOs. We have state-of-the-art research facilities and Denmark’s only ocean- and arctic-going research vessel. The Institute has 360 employees, one-half being scientific staff, including about 50 PhD students. More than 35 nationalities are represented at the Institute, and we support an equal gender distribution. We are located in Lyngby, Hirtshals, Nykøbing Mors, and Silkeborg and have regular activities in Greenland. Learn more on aqua.dtu.dk

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.