Professor in Artificial Intelligence for Clinical Image Diagnostics – DTU Compute

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Professor in Artificial Intelligence for Clinical Image Diagnostics – DTU Compute
Kgs. Lyngby, Denmark

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Job Description

Are you an established researcher in AI-based medical image analysis with an interest in clinical applications to solve the challenges at Danish hospitals? Then this professor position might be for you.
Technology is a central part of solving the challenges at Danish hospitals, and solutions based on AI are becoming available and implemented. At hospitals, there is a need for more knowledge about how AI-based solutions can be tested, implemented, and used in clinical workflows. To overcome this, we will create a shared professorship between DTU Compute in the Section for Visual Computing and the Zealand University Hospital with a focus on AI in medical image analysis.
Our ambition is to build a strong link between DTU and the hospital research environments that are based on imaging. Imaging plays a vital role in the diagnosis and treatment of most diseases and algorithms for supporting decisions made by doctors and other hospital professionals are core to the clinical workflows. The quality of predictions made by deep learning-based methods (AI) highly depends on the data that the models are trained on. For image-based analysis, even small shifts in image appearance between the training images and the image data of patients at a hospital can lead to very poor performance. To overcome this, there is a need to have the right data foundation to test models, tools to verify performance, and understanding of responsible use of AI – all research and educational topics central to this professorship.
As a professor at Zealand University Hospital, you become part of a fellowship of professors and other researchers who work to bring research to the forefront for novel treatments to benefit patients.
One radiology department covers the entire Zealand Region, which was formed in primo 2022 under one management at the Zealand University Hospital to ensure robust, sustainable, professional, and strong radiology in Region Zealand. When possible, citizens are examined at their local hospital. The unified Department of Radiology is located at 6 hospitals and 5 health centers across Region Zealand and has more than 500 employees. The position of Professor in AI is placed at the location in Roskilde or Køge together with three additional researchers. The department services a population of 835.000 and performs more than 630.000 x-rays a year. Imaging is based on the department’s CT scanners, MR scanners, ultrasound and x-ray rooms. The department is fully digitized. You can read more about our Research Center for Advanced Imaging on: Zealand University Hospital . 
Responsibilities and qualifications
You are expected to be part of defining the teaching within the core areas of DTU Compute including medical image analysis at the BEng, BSc, MSc, and PhD levels. In addition, there will be an obligation in continuous education for hospital professionals within AI in medical image analysis.More engineers and scientists with a technical and natural science background in medical image analysis are needed. It is, therefore, important to take part in identifying the educational needs and developing education within medical analysis between DTU and the hospitals. As part of your teaching, you are expected to learn Danish and be able to teach in Danish after 3 years. DTU can provide Danish language courses.
The Section for Visual Computing has a strong interest and knowledge in medical image analysis 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 biomedical imaging. You will also be working in close collaboration with competent colleagues who cover the other research areas within computer graphics and computer vision.
Fund raising is a core part of the position. Being in the interface between leading hospital research environments in Region Zealand 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 medical 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. The expected starting date is 1 March 2024 or according to mutual agreement.
Further information
Further information may be obtained from the Head of Department, Professor Jan Madsen, [email protected] , mobile: +45 6017 1097, or the Head of Section, Professor Anders Bjorholm Dahl, [email protected] , mobile: +45 5189 6913.
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
Please submit your online application no later than 1 February 2024 (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) 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.
The Section for Visual Computing is part of the Department for Applied Mathematics and Computer Science (DTU Compute). DTU Compute is an internationally unique academic environment spanning the science disciplines of mathematics, statistics, and computer science with an engineering focus. DTU Compute strives to achieve research excellence in its basic science disciplines, to achieve technological leadership in research and innovation, and to address societal challenges in collaboration with partners at DTU and other academic institutions. DTU Compute plays a central role in education at all levels of the engineering programmes at DTU – both in terms of our scientific disciplines and our didactic innovation.
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.

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Job Info

• Job Identification 2924
• Job Category VIP A
• Posting Date 12/20/2023, 04:19 AM
• Apply Before 02/01/2024, 05:59 PM
• Locations Matematiktorvet, Kgs. Lyngby, 2800, DK

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