DTU Compute Copenhagen, Denmark Associate/Assistant Professor 8 June 2026

Euro Math Soc; København; On-site; DKK 750,000 - 950,000; Full time

Job summary

DTU Compute’s Statistics and Data Analysis section invites applications for Associate Professor or Tenure Track Assistant Professor to strengthen the link between classical statistics and modern data science through teaching and research. The appointment is full-time with starting date 1 November 2026.

The candidate should hold a PhD, have a proven research record, and be prepared to teach and supervise BSc/MSc and PhD projects, while collaborating on industry and societal impact initiatives.

Qualifications

• PhD degree (or equivalent) in statistics or a closely related field.
• Experience in teaching and supervising BSc/MSc projects and PhD supervision.
• Strong background in classical statistics with interest in modern data science.
• Ability to engage in funded research projects with academia and industry.
• Fluent in Danish or English; capable of mastering both.

Responsibilities

• Conduct scientific research at the international level aligned with DTU’s vision.
• Teach courses at various levels.
• Develop and contribute to our research-based teaching portfolio at bachelor, master, and PhD levels.
• Supervise student projects at the bachelor and master level.
• Lead and participate in collaborative, funded research projects with academia and/or industry.
• Engage with industry and/or the public sector and engineering departments at DTU.

Skills

Mathematical statistics

Contemporary data science techniques

Project participation

Applied research

Teaching experience

Education

PhD degree in Statistics or related field

Job description

Classification: Mathematical Statistics, Data Science

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:

• Conduct scientific research at the international level, your research will be aligned with DTU’s vision of being of the benefit for society.
• Teach courses at various levels.
• Take part in the development of our research-based teaching portfolio at the bachelor, master, and PhD levels.
• Take part in supervision of student projects at the bachelor and master level.
• Actively seek opportunities to lead and participate in collaborative, funded research projects with academia and/or industry.
• Engage with industry and/or the public sector, and engineering departments at DTU

We imagine that you have experience or knowledge in:

• Mathematical statistics
• Contemporary data science techniques
• Project participation
• Applied research

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:

• 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

Salary and terms of employmentThe 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.