Professor in Statistics

1000scholars; Kongens Lyngby; On-site; DKK 900,000 - 1,200,000; Full time

Job summary

The Technical University of Denmark (DTU) invites applications for a professor position in Statistics, with a focus on biostatistics and human health. The appointee will strengthen DTU Compute's research profile, contribute to education and lead in a highly collaborative setting.

We seek an outstanding scientist with a strong theoretical foundation and proven applied expertise, capable of guiding interdisciplinary projects and mentoring PhD students.

Qualifications

• PhD in Mathematical Statistics, Biostatistics or closely related field.
• Broad and deep knowledge of statistical principles and modern data science.
• Outstanding research record in biostatistics, environmental statistics and/or human health.
• Documented impact on societal values, progression or development.
• Strong leadership and ability to foster interdisciplinary research.
• Teaching experience at undergraduate and graduate level, with ability to adapt teaching to scientific progression.
• Track record of supervising graduate students and post-doctoral researchers.

Responsibilities

• Perform cutting-edge research in statistics and data analysis.
• Lead and supervise research projects within biostatistics, environmental statistics and human health.
• Provide teaching across BEng, BSc, MSc and PhD levels.
• Engage in scientific advising and contribute to the DTU Compute research culture.
• Foster interdisciplinary collaboration across DTU and related disciplines.

Skills

Leadership

Applied statistics

Biostatistics

Environmental statistics

Education

PhD in Mathematical Statistics/Biostatistics

Job description

Department of Applied Mathematics and Computer Science 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 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.

Application procedure

Application deadline: 1 November 2026

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

Competitive