Professor in Biomedical Imaging and Analysis

Thursday 1st September 2022

Organization Technical University of Denmark
Location Kgs. Lyngby, Denmark
Title Professor in Biomedical Imaging and Analysis
URL https://www.compute.dtu.dk/om-os/ledige-stillinger/job?id=0c2d608e-7f3b-4ba8-9880-354fb779ca97
Email Address reen@dtu.dk
Deadline 11 September.
Are you our new professor in biomedical imaging that will ensure a strong link between the technical research at DTU and preclinical research at the hospitals? If you see yourself in this role and have great ideas for research topics within biomedical imaging and for how a close collaboration between preclinical imaging and image analysis at DTU Compute can support this research, you could be the ideal candidate for this position as professor in biomedical imaging.

You will become part of the faculty group in the Section for Visual Computing at DTU Compute and lead the research and education in biomedical imaging. Besides biomedical imaging, the Visual Computing section covers research and education in computer vision, computer graphics, and related topics. Until now, we have utilized the synergy between these topics, and we expect you to take an active role here and ensure research synergy with the preclinical research at the hospitals.

Biomedical imaging plays a vital role in the diagnosis and treatment of most diseases and advancing imaging technologies, and how images are analysed is an essential element. As our new colleague and professor, we want you to ensure a strong link between DTU and the hospital research environments within imaging. In addition to imaging techniques traditionally used at hospitals, there are new opportunities in using imaging at large-scale imaging facilities, in particular the MAX IV synchrotron and European Spallation Source (ESS) which you will be part of. In the Visual Computing section, we are taking a leading role in building a strong user community around biomedical imaging at large-scale facilities. You will support this work for pre-clinical use.

Responsibilities and qualifications within biomedical imaging and analysis
We imagine that you want to define how we should educate engineers within the core research areas of DTU compute, including image analysis and biomedical imaging at the BEng, BSc, MSc, and PhD levels. Educating engineers within biomedical imaging and analysis is important for advancing the research field of biomedical imaging and analysis and meeting the needs for the future health care systems. Based on your experience, we expect to be able to develop teaching and educate top candidates within biomedical imaging and analysis. 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.

You will define the specific research tasks that you will focus on, but we expect that you are an experienced researcher and have a strong scientific profile that will make the basis for your research. Based on your ideas and initiatives, you will build up and lead a research group of your own. But research is also a team effort, and therefore it is essential that you thrive in a collaborative research environment where you ensure that you and your team engage in research collaboration, both with colleagues at DTU and abroad.

An important part of your work will be your ability to attract funding that makes up the basis for building your research group. Funding can be for basic research or applications, and for yourself or collaborations with other researchers. To do so, it is essential that you can form the necessary research teams, formulate research projects that will be funded, and that you take a leading role in these projects. Currently, there are good opportunities for obtaining funding for research projects within biomedical imaging and image analysis.

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.