at Technical University of Denmark, Lyngby, Denmark
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Fisheries are undergoing a rapid technological transformation. Increasing demands for more sustainable fishing methods, effective fisheries management and improved documentation of fishing activities create a need for new technologies capable of generating reliable, high-quality data at scale. At the same time, recent advances in artificial intelligence, computer vision and machine learning provide new opportunities to automate the detection, identification and quantification of catches and fishing activities. The position will focus on developing and applying these technologies in real-world fisheries, moving beyond proof-of-concept applications to develop robust, validated and operational AI solutions for commercial fisheries. The position is affiliated with the Section for Fisheries Technology at DTU Aqua. The research in the section addresses technological solutions for environmentally and economically sustainable fisheries. The successful candidate will contribute to an interdisciplinary research environment involving fisheries scientists, engineers, data scientists and other experts, and will collaborate extensively with industry, authorities and international research partners. Responsibilities and qualifications In this role, you will develop an independent research profile at the intersection of fisheries technology, artificial intelligence and digital monitoring. Your research will focus particularly on the development and application of AI and computer vision for Electronic Monitoring (EM), automated catch documentation and related fisheries applications. You will work with colleagues within DTU Aqua and across DTU, as well as with fishing industry stakeholders, technology developers, public authorities and international research partners. Your primary research tasks will be to: Develop novel artificial intelligence, computer vision methods and algorithms for automated detection, identification, classification, tracking and quantification of fish and other organisms under real-world fisheries conditions. Investigate approaches for combining video and image data with other Electronic Monitoring sensors and data streams. Evaluate the robustness, accuracy, transferability and operational performance of AI-based monitoring systems. Explore how AI-enabled monitoring can support fisheries management, scientific data collection, compliance and sustainable fisheries. You will also be expected to: Publish high-quality research in leading international scientific journals and communicate research findings to relevant stakeholders. Contribute to fundraising and development of national and international research projects. Engage with industry, public authorities and other stakeholders to ensure that research addresses real-world challenges and opportunities. Contribute to innovation, technology development and, where relevant, commercialisation of research results. Contribute to education as described below. An important part of the position will involve teaching and tasks related to the organisation of teaching in the Fiskeriteknologi programme in Sisimiut, Greenland. The programme provides an important platform for developing the next generation of fisheries technology professionals in Greenland. The successful candidate will help ensure that the programme remains closely connected to technological developments, research and the evolving needs of Greenlandic fisheries. Your primary educational tasks will be to: Contribute to the academic development, teaching and supervision under the Fiskeriteknologi programme. Strengthen the integration of emerging technologies, including artificial intelligence, computer vision, digital monitoring and data analysis, into the programme. Develop and maintain relationships with Greenlandic fisheries, authorities, educational institutions and other relevant stakeholders. Contribute to recruitment, outreach and activities that promote fisheries technology education and career opportunities in Greenland. Application procedure Your complete online application must be submitted no later than 27 November 2026 (23:59 Danish time) . To view the full announcement and to apply: click the Apply button above.
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