Associate Professor in AI-based Medical Image Analysis – DTU Compute (part-time)

This part-time position focuses on medical image analysis and modern AI-based methods in clinical applications. If you are excited about machine learning-based medical image analysis and educating the next generation of experts, you are encouraged to apply for this position.

AI is a core technology for image-based assessment of clinical images, and at DTU, we are at the forefront of developing deep learning-based solutions for medical image analysis. With this part-time position at DTU, you will be working in an interdisciplinary research group with close ties to the Danish hospital environments. This is the ideal foundation for an academic career in AI-based medical image analysis. Teaching the next generation of engineering students at all levels is core to the position, and if you are excited about passing your knowledge and experience on, as an integral part of your daily work, this is just the position for you.

Responsibilities and qualifications
In this position, you will build a bridge between DTU and the clinical environments at Rigshospitalet with a research focus on new machine learning-based techniques (AI) and how these methods can support the use of imaging in clinical practice. The close collaboration between the clinic and the research at DTU will enable an exchange of knowledge of relevant clinical research problems and enable easy access for students to work on clinically relevant problems. It is expected that this leads to new research collaborations and that you will take an active part in securing funding for the research at DTU.

You must be responsible for the teaching of courses. 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.

As a formal qualification, you must hold a PhD degree (or equivalent) as well as academic qualifications equivalent to those obtained by holding an assistant professorship and documented didactic/pedagogic training.

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

• Experience and quality of teaching 
• Research experience 
• Research vision and potential
• International impact and experience 
• Societal impact
• Innovativeness, including commercialization and collaboration with industry
• Leadership, collaboration, and interdisciplinary skills
• Communication skills

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 employment is part time, working 1 day a week.

You can read more about career paths at DTU here.

Further information 
Further information may be obtained from Professor Anders Bjorholm Dahl, tel.: +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 23 June 2023 (Danish time). Applications must be submitted as PDF files containing all materials to be given consideration. To apply, please open the link "Apply", fill out the online application form, and attach all your materials in English as PDF files. The files must include: 

• Application (cover letter)
• 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.

DTU Compute
DTU Compute is a unique and internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we believe in a diverse workplace with a flexible work-life balance.

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 mathematics, statistics, and computer science with an engineering focus. 

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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