DTU Tenure Track Assistant Professor or Associate Professor in Computer Vision

torsdag 11 mar 21

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Frist 15. april 2021
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At the Section for Visual Computing at DTU Compute we are looking for an Assistant or Associate Professor in Computer Vision to take part in the teaching, research and other tasks. You will become part of the faculty group in the section and be part of a team that develops the research within computer vision.

If you are applying for the position as assistant professor, you should note that it is part of DTU’s Tenure Track program. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. We develop talent by offering a career mentor, state-of-the-art research infrastructure, and postgraduate teacher training. DTU’s Tenure Track is an appointment of at most six years, during which you will receive career support in the form of professional and personal guidance. At the end of the tenure track appointment, you will be evaluated by an external assessment committee, who will assess your appointment to a permanent Associate Professorship. Read more about the DTU Tenure Track program at DTU at this homepage.

Responsibilities and qualifications
You share the group’s strong interest and knowledge in machine vision and surface reconstruction covering both theoretical and experimental. Your particular focus is on machine learning aspects of computer vision, and you find great motivation in contributing to the develop of the area with both methodological research in deep learning and its application in areas such as autonomous systems and augmented and mixed reality. You will also be working in close collaboration with competent colleagues on the other research areas in the section including computer graphics, biomedical image analysis and image analysis in materials science.

A great part of building up the research is computer vision is attracting funding. You have experience with funding applications and you understand the need for and benefit of computer vision and your adjacent research interests in engineering applications. You are proud and delighted to contribute not only to own funding applications, but also to colleagues’. Therefore, you are also excited to take a leading role in our computer vision research environment, and through this also contribute to other areas such as robot control or autonomous systems, such as collaborating in projects with researchers from other areas and educating candidates specialized in computer vision.

Attracting funding is important for building up the area of computer vision. Currently there is a need for computer vision in many engineering applications, which gives good opportunities for attracting funding. Therefore, it is an advantage if you have experience with funding applications and you understand the need for and benefit of computer vision and your adjacent research interests in engineering applications. You are expected to be part of and take a leading role in our computer vision research environment, and through this also contribute to other areas such as robot control or autonomous systems. This includes collaborating in projects with researchers from other areas and educating candidates specialized in computer vision.

You have

  • documented research in one or more application areas such as
    • Estimation of radiometric properties of materials
    • 3D geometry estimation
    • Vision based robot control
    • Vision for autonomous vehicles
  • Methodologic experience with, inter alia,
    • machine learning including deep learning applied in computer vision
    • machine vision
  • Some familiarity with and willingness to collaborating with end users
    • We put a strong emphasis on industrial collaborating in our research so it is important to embrace this kind of development

You will be responsible for the teaching of courses and supervision of bachelor, master and PhD projects. If you are not familiar with Danish, you will be expected to learn Danish and be able to teach in Danish after 3 years. DTU can provide Danish language courses.

As formal qualification you must hold a PhD degree (or equivalent). If you are applying for the associate professor position you should also have 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 salary for the position will be determined by the applicants qualifications and in agreement with the relevant union. Further information on qualification requirements and job content may be found in the Ministerial Order on Job Structure for Academic Staff at Universities.

Expected starting date is 1 September 2021 or according to mutual agreement.

Further information
Further information may be obtained from Head of Section, Professor Anders Bjorholm Dahl, abda@dtu.dk, mobile: +45 5189 6913. 

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

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 15 April 2021 (Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  • Application (cover letter)
  • Vision for teaching and research
  • CV including employment history, list of publications (applicants applying for the position as associate professor should indicate 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.  

In the field “Please indicate which position you are applying for”, please indicate whether you are applying for the position as Associate or Assistant Professor.

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 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.

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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 vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,000 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.