Description

Professor in Artificial Intelligence and Geometric Image Analysis

Are you an established researcher in image analysis based on AI and geometric modeling, and do you have an interest in finding solutions to analyze images at a large scale? Then, this professor position might be for you.

We need a new professor to lead research on coupling AI and geometry aimed at the analysis of large-scale imaging data. Methods like micro-CT imaging offer unique opportunities to see inside materials but analyzing these images quickly and at a large scale is currently impossible. Quantitative analysis of large-scale imaging can be the key to unlocking the information necessary to understand the structure and functionality of materials. This is a task that we need to solve to create technological solutions for a sustainable future. 

We aim to strengthen the link between DTU and large-scale research infrastructures, especially MAX IV and ESS-DMSC (European Spallation Source – Data Management and Software Center). Imaging plays a vital role at these facilities, and the imaging instruments often give the largest quantities and most complex data to analyze. There is, however, great potential in advancing the research in this field. Therefore, we need a professor who can lead this research area and ensure the education at all levels.

Responsibilities and qualifications

You are expected to be part of defining the teaching within the core areas of DTU Compute, including courses on image analysis for 3D data at the BEng, BSc, MSc, and PhD levels. In addition, there will be an obligation in continuous education within AI for 3D imaging. More engineers and scientists with a technical and natural science background in volumetric 3D image analysis are needed. It is, therefore, important to take part in identifying the educational needs and developing education within image analysis between DTU and the large-scale facilities.

DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are expected to master both.

The Section for Visual Computing has a strong interest and knowledge in large-scale image analysis for volumetric images, covering both theoretical and experimental topics. We expect you to find great motivation in contributing to developing the area, both with methodological research and applying analysis methods for scientific studies based on various applications within imaging. You will also be working in close collaboration with competent colleagues who cover the other research areas within materials science, preclinical research, computer graphics, and computer vision.

Attracting funding is essential for being internationally leading. Being in the interface between leading large-scale research facilities and technical science at DTU, there are good opportunities for attracting funding. We expect you to have experience in attracting funding for your research, and you understand the need for and benefit of image analysis in society in general.

You will be assessed against the responsibilities and qualifications stated above and the following general criteria:

• Documented experience and quality of teaching and curriculum development
• Research impact and experience, funding track record and research vision
• International impact and experience
• Societal impact
• Innovativeness, including commercialization and collaboration with industry
• Leadership, collaboration, and interdisciplinary skills
• Communication skills

 
Finally, we hope that you will infuse diversity and fresh perspectives into our section's daily interactions and future research trajectories, enriching our collective insight and fostering an inclusive and innovative environment.

 
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.

 
Further information

Further information may be obtained from the Head of Department, Professor Jan Madsen, [email protected], mobile: +45 6017 1097.

 
You can read more about DTU Compute at www.compute.dtu.dk/english.

 
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 8 October 2025 (23:59 Danish time). Apply online here: Professor in Artificial Intelligence and Geometric Image Analysis

 
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) addressed to the President
• Vision for teaching and research
• CV including employment history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/)
• Teaching portfolio including documentation of teaching experience
• Academic Diplomas (MSc/PhD)

 
You can learn more about the recruitment process here.

 
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.

 
DTU Compute

The Section for Visual Computing is part of the Department of 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

 
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.