Associate Professor or DTU Tenure Track Assistant Professor in Statistics and Data Analysis

søndag 31 jul 22

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Frist 31. august 2022
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If you thrive performing research and have flair for teaching and communicating the art of statistics and data analysis especially to a younger audience, then your dream-job is right here in front of you. At DTU Compute you will break new ground at the absolute forefront of what is possible. DTU Compute’s Section for Statistics and Data Analysis, invites applications for an appointment as Associate Professor or Tenure Track Assistant Professor within Statistics and Data Analysis. The position is available from 1 November 2022 or according to mutual agreement. 

Responsibilities and qualifications
You will have the possibility to actively take part in the promotion, development of and research in contemporary statistical methods and theory bordering to methods in machine learning and artificial intelligence. You appreciate the value creation in developing and applying data analytical methods for the benefit of society. You can expect to be invited to participate in one or more existing projects as well as actively applying for funding for new research projects of your own.

You value visionary and meaningful communication and you are motivated by delivering engaging teaching at all levels: bachelor-, master- and PhD as well as continuing education. You also have a natural feel for dissemination of research results at all levels. Currently the section is strongly involved in a majority of the teaching of statistics at an introductory level at DTU, in which you will be invited to take part. The importance is emphasized by DTU recently prioritizing statistics to be a keystone in the polytechnical foundation. Bachelor courses are taught in Danish, other courses in English. For international candidates, DTU offers Danish language courses, with the purpose of being able to teach in Danish within the first two-three years.

The section has an important role in research based consultancy and knowledge transfer to other departments at DTU and also externally. Again your collaborative and communicative skills are crucial.

Other tasks of the position include but are not limited to: exchanging knowledge with society, including participation in the public debate, research management, guidance and supervision of assistant professors and researchers, and some academic assessment work.

We envision the research position will help strengthen and expand the Section’s research. Your research could therefore include one or more of the following topics: 

  • Statistical learning methods
  • Statistical computing, machine learning and artificial intelligence
  • Industrial statistics
  • Engineering oriented statistics and probability
  • Data science

You thrive in a knowledge sharing environment where cross functionality and cooperation between colleagues are highly valuated. Building relations within the department and with colleagues in other departments comes natural to you.

For the position, the key qualification requirements are as follows:

  • You have convincing documented scientific production/publication and research potential to become an international leader in your field.
  • You enjoy teaching and interacting with students at all levels.
  • You have the ability and desire to contribute to the Section’s national and international collaborative efforts.
  • You share our desire to disseminate research results and research-based innovation in society.
  • You have a positive attitude and find it easy and natural to interact with your colleagues.

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 allowance will be agreed upon with the relevant union.

The assistant professor position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Head of Section, Professor Bjarne Kjær Ersbøll, +45 4525 3413,

You can read more about DTU Compute at  

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 31 August 2022, before midnight (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
  • 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.

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.

Section for Statistics and Data Analysis
Our section is dedicated to methodological development and applied research within the field of statistics and data analysis on data from all the focus areas of our department: Data and data science; Smart Manufacturing; Smart and Secure Societies; the Life Sciences. With our close connections to other DTU Compute research sections such as Cognitive Systems, Visual Computing and Dynamical Systems, the section stands as a dynamic and substantial player both locally in the Danish statistics arena and internationally. 

DTU Compute
DTU Compute is a unique and internationally recognized academic department with 385 employees and 10 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, data science and engineering, 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.

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 vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 13,400 students and 5,800 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.