If you are eager to start an academic career in the exciting field of statistics and data analysis, we welcome you to apply for our new position as Associate Professor or Tenure Track Assistant Professor.
Here at the Statistics and Data Analysis section at DTU Compute, we are looking for a new colleague to support and enhance our goal of bridging the gap between the classical and modern statistical methods. In this position, you are expected to contribute to this mission by engaging in both teaching and research activities. We are particularly interested in candidates with a very strong background in classical statistics for establishing the necessary foundation for venturing into and expanding the field with modern approaches for data science. We believe that such a foundation will be an utmost necessity for deeper understanding of more advanced approaches to data science problems and for their effective applications.
In our section, we engage in application areas including but not limited to production analytics and health analytics as well as social sciences where we together hold a solid theoretical foundation for successful applications. The candidate is expected to demonstrate not only solid fundamental understanding and prior research in statistical methods but also to have the flair for successful implementation of these methods and actively take initiatives to engage in application projects.
Our section is composed of a mixture of researchers working in statistics and machine learning. While the position is open to all candidates engaged in research and applications in various statistical methods, priority will be given to the candidates with solid background in classical statistics. Accordingly, we also expect the candidate to teach and supervise courses and projects in this field.
Responsibilities and qualifications
Your overall focus will be to strengthen the section’s mission in establishing a strong statistical foundation for modern applications of data analytics methods. You are also expected to teach and supervise BSc and MSc student projects and be a co-supervisor for PhD projects.
Your primary tasks will be to:
We imagine that you have experience or knowledge in:
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). 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:
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.
Starting date is 1 November 2026 or according to mutual agreement. The position is a full-time position.
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 the head of the Statistics and Data Analysis section, Professor Bo Friis Nielsen, email: bfni@dtu.dk
You can read more about DTU Compute at www.compute.dtu.dk and about the Statistics and Data Analysis section at www.compute.dtu.dk/sections/stat
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 July 2026 (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:
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.
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. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.
DTU Compute
DTU Compute – Department of Applied Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health, green transition, energy supply, and life science. We collaborate with universities, public and private organisations, and companies in Denmark and abroad, and through DTU’s startup ecosystem, we encourage innovation and entrepreneurship. We have a strong ethical, human, and sustainable approach that ensures integrity in our work. Therefore, we strive for and take responsibility for driving the democratisation of digital technologies, so that everyone has the opportunity to actively participate in the development, and we ensure a continued open, democratic, and inclusive society for the benefit of all. At DTU Compute, we value diversity, inclusion, and a flexible work-life balance. Read more about us at www.compute.dtu.dk
DTU – For the benefit of society since 1829
DTU is one of Europe's leading elite technical universities. Through research and education at an international top level, we create solutions to the major societal challenges of our time and help secure Europe's global leadership in sustainable technological development. Since Hans Christian Ørsted founded DTU almost 200 years ago, our mission has remained the same: We develop and create value through the natural and technical sciences for the benefit of society. DTU has 13,800 students, 1,600 PhD students, and 6,500 employees. We work in an international environment and have an inclusive, stimulating, and informal work culture. DTU has campuses in all parts of Denmark and in Greenland and collaborates with the best universities around the world.
