About this role
The Danish Institute for Advanced Study (DIAS) and the Maersk Mc-Kinney Moller Institute at the University of Southern Denmark (SDU) seek an outstanding candidate to fill a tenure track Fellow (Assistant Professor level) position in the field of Organoid Intelligence. The candidate is expected to start on January 1, 2027, or as soon as possible thereafter. The application deadline is September 15, 2026, at 11.59 PM/23.59 (CET/CEST) We are looking for a researcher with clear potential for research excellence who thrives in and is inspired by interdisciplinary collaboration. The ideal candidate will be expected to contribute to high-quality research in their field while embracing DIAS’s mission of curiosity-driven inquiry and interdisciplinary dialogue. The successful candidate should have a strong and promising research profile, with potential for attracting external research funding, and a demonstrated ability to work across disciplines. The candidate will be attached to both the Department and DIAS and should be prepared to engage in multiple and diverse research environments at SDU. Who are we looking for We seek a researcher with expertise in the field of Organoid Intelligence, capable of combining multiple disciplines, including Neuroscience, Artificial Intelligence, Data Science and Bioimaging. The candidate must develop their research career within the DIAS framework. The ideal candidate should: Drive internationally competitive research activities at the highest level of ambition. Publish in high-level peer-reviewed academic journals. Engage in various forms of research dissemination, including interdisciplinary research and dialogue. Play an active role in securing external funding, including both EU and Danish sources. Commit to excellence in teaching at both undergraduate and graduate levels, including participation in teaching, development of new courses, and supervision of BSc, MSc, and PhD students. Collaborate with interdisciplinary teams on artificial intelligence, neuroscience, biochemistry and molecular biology, bioimaging, and across various domains, also in the framework of DIAS. Qualifications Successful applicants must: Hold a PhD or similar qualifications within relevant fields of data science such as AI and machine learning, neuroscience, physics and applied mathematics. Experience working within bioimaging is an advantage but not a precondition. Demonstrate an outstanding track record to be qualified at the Assistant Professor level by the hiring time. The candidate may have experience at the Assistant Professor level or must be qualified at the time of being hired. The candidate may also have postdoctoral experience and may already have experience at the assistant professor level. Demonstrate a strong track record of research and scientific publication. Have a well-documented teaching record. Be fluent in English; the ability to communicate in Danish is an advantage but not a precondition. Exhibit a commitment to excellence and multidisciplinary collaboration. The Danish Institute for Advanced Study (DIAS) DIAS at SDU is a hub for interdisciplinary excellence at and beyond the frontier of knowledge, bringing together outstanding researchers from various disciplines to foster groundbreaking interdisciplinary research and bold innovation. DIAS nurtures a collaborative and curiosity-driven environment, encouraging scholars to think outside the box and challenge conventional boundaries. The institute values open-minded exploration and an ambitious yet collegial atmosphere with a strong sense of community. Researchers affiliated with DIAS are expected to contribute actively to DIAS activities and engage in interdisciplinary collaborations across faculties and departments, both nationally and internationally. MMMI The Maersk Mc-Kinney Moller Institute is an internationally recognized institute, which has maintained a leading position in robotics for more than three decades. The institute is the origin of robotics research in Denmark and has spawned the world-renowned cluster of robotics in Odense with more than 130 robotics companies including Universal Robots and Mobile Industrial Robots. Building on our expertise in AI, robotics and software, we have raised strong research centres in related domains, such as Health Informatics and Energy Informatics, Drones and other relevant research areas. SDU Applied AI and Data Science (SDU-AID) SDU Applied AI and Data Science is one of MMMI’s 12 units and conducts interdisciplinary research in artificial intelligence and data science within the medical and energy sector, where we apply artificial intelligence and data science to improve procedures, provide information for decision makers and gain new knowledge. SDU-AID’s backgrounds span from pure science (including mathematics and physics) to applied disciplines (such as biostatistics, epidemiology, computer science, and engineering). This gives the team a broad perspective on researching new, innovative solutions in a variety of fields. The focus lies on the application of artificial intelligence and data science to advance research and provide data-driven solutions within the medical and energy sectors. Due to our long presence at SDU, we have established over the years strong collaborations with clinical researchers and companies, both in Denmark and abroad. Together with our collaborators, we are improving the way of handling and gaining insight from data, therefore creating knowledge and value for society. Additional information For further information about being a fellow at DIAS, please contact DIAS director Sten Rynning at +45 6550 2193 or via email at [email protected] . For more questions about the position, please contact Head of Unit, Professor Nadimi at [email protected] . Application, salary, and employment terms The candidate will be attached to SDU Applied AI and Data Science Unit in Odense and is also expected to participate in DIAS a