PhD position in the development of new digital technologies and advanced an at DTU Career Site

, , -

Full Time

Start Date

Immediate

Expiry Date

31 Dec, 25

Salary

0.0

Posted On

02 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Machine Learning, Deep Learning, Quantitative Analysis, Programming, Python, C++, Data Collection, Data Labeling, Algorithm Development, Software Development, Scientific Writing, Conference Presentation, Collaboration, Research, Decision Support Tools

Industry

Higher Education

Description

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 and focuses on the technological development of fishing gears, techniques and methods that can contribute to promoting economic and environmental sustainability in the fishing industry, and that can support society's need to regulate fishing. The section is internationally recognized and has a strong 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 an internationally recognised multidisciplinary team to develop new real-time digital technologies and advanced analytics such as deep learning methods for the analysis of images and videos for species and size identification, automated catch registration and decision support tools for fishers to advance commercial fisheries. The team is developing decision support tools for fishers based on fish detection and species identification algorithms, with the goal of implementing the software in an operational capacity. Your role will be to further this development by contributing with competencies in computer vision, machine learning, quantitative analysis and programming. You will collaborate with nearby colleagues 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 and sizes 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. Competencies and Qualifications In the assessment of the candidates, particular consideration will be given to: Experience in the development and application of computer vision algorithms, machine learning and automation, and the ability to understand and develop machine learning algorithms for video analyses. Experience in developing and evaluating machine learning models. 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. You must have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree. 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 3 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 1 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) including official description of grading scale. 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.

Responsibilities

You will develop new real-time digital technologies and advanced analytics for species identification and automated catch registration. Your role includes collaborating with a multidisciplinary team and contributing to the development of decision support tools for fishers.