Professor in Statistics

Department of Applied Mathematics and Computer Science (DTU Compute) at the Technical University of Denmark (DTU) invites applications for a professor position in Statistics. 

We are seeking a highly qualified individual to strengthen our research profile in biostatistics and human health and to contribute to addressing important societal challenges through research, education, and academic leadership.

As a leading expert in the field, the successful candidate will help shape and further develop the institute's scientific activities within statistics, spanning both methodological foundations and applications of societal relevance. 

The position offers a unique opportunity to provide research leadership in a highly collaborative environment and to contribute to fostering an open, inclusive, and intellectually stimulating research culture. The department values collegiality, openness, and collaboration across disciplines, and we aim to provide an environment in which excellent research, education, and innovation can flourish while supporting a sustainable balance between professional and personal life.

Responsibilities and qualifications
We are seeking a top scientist with a research program in engineering and statistics that focuses on biostatistics and environmental statistics in general, and human health in particular, based on a strong theoretical foundation that enables detailed insight into the translation from scientific results to potentials for applications, being able to utilize the specific Danish societal organization with a highly registered population. 

The successful applicant combines a strong theoretical foundation with deep experience within applied statistics, allowing supervision of applications within a broad-spectered domain area.

You are expected to:

• Hold a PhD in Mathematical Statistics, Biostatics or a closely related field.
• Hold a broad and deep knowledge of statistical principles and applications, applicable to modern data science. 
• Demonstrate an outstanding record of research accomplishments within biostatistics, environmental statistics and/or human health, including a strong publication record and a history of grant applications.
• Have a documented impact on societal values, progression and/or development.
• Have a broad knowledge of non-trivial engineering applications that may promote cross-disciplinary cooperation withing DTU.
• Have a strong leadership profile and the ability to foster interdisciplinary research.
• Possess teaching experience and teaching qualifications at the undergraduate and graduate level, with the ability to adapt and develop teaching to address scientific progression and societal needs.
• Have a track record of supervision of supervision of graduate students/post-doctoral researchers.

You will be placed in the section for Statistics and data analysis. You are expected to play a foundational role in advancing the field and guiding the academic future of the section, by performing cutting edge research within the areas covered by the section, by engaging in scientific advice that the section carries out, and by taking part in the activities within teaching that the section is responsible for.

You are expected to take a lead role in teaching at the BEng, BSc, MSc and PhD levels.

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.

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

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. In addition, supplements can be negotiated in accordance with DTU’s salary structure for scientific staff: www.inside.dtu.dk/en/human-resources/during-employment/salary/salary-structures.

The workplace is DTU Lyngby Campus.

Further information 
Further information may be obtained from Head of Section professor Bo Friis Nielsen, tel.: +45 4525 3397. 

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
Your complete online application must be submitted no later than 1 November 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:

• Application (cover letter) addressed to the President
• Vision for teaching 
• Vision for 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. 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 – 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. 

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.