<!-- ko if: isJobTitleVisible --> Postdoc in Data Science and Civil Engineering - DTU Compute <!-- /ko --> <!-- ko if: isAlreadyAppliedVisible --><!-- /ko -->

The section for statistics and data analysis is looking for a Postdoc to join the section, with the aim of strengthening the section’s work within scientific consultancy in statistics and in general data science. 
You - the Post doc - is particularly expected to do research work within civil engineering with a focus on sustainability. Additionally, you will have the opportunity to work with affiliated private companies solving or contributing to the solution of problems. The nature of this work will be within the area that in broad terms can be described as data science. You will contribute to the research in the department, in particular within statistics, sustainability in civil engineering, and data science, where you will work with dedicated colleagues to gain insight for the benefit of society. To fulfill the position, you must possess solid knowledge of data science. Preferably you will have experience in the application of data science within private companies. 
Responsibilities and qualifications 

• Provide research based scientific advice for private companies;
• Participating in research within the section, primarily in the areas of data science in civil engineering;
• Participate in project management and funding acquisition;
• Facilitate ad-hoc tasks within the section’s responsibilities in teaching and research;
• Take part in publication of research results.

You should have the following qualifications:

• An education as civil engineer or statistician;
• Familiarity with applied statistics;
• Have the proven ability to cooperate in cross-disciplinary environments;
• Knowledge of circumstances under which university scientific advice is given to private companies;
• A background within scientific computing, using tools such as R, Julia or Python;
• Knowledge of using data science in relation to civil engineering;
• Be able to communicate efficiently in Danish at the level of a native speaker;
• Be able to work independently and take initiatives within research.
• Possess communication skills to scientific and non-scientific recipients.

As a formal qualification, you must hold a PhD degree (or equivalent). 
We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. 
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 period of employment is 2 years. Preferred starting date is 1 April 2026 (or according to mutual agreement). The position is a full-time position.
You can read more about career paths at DTU here .
Further information
Further information may be obtained from Head of Data Insight Team Camilla Thyregod or Head of Section Bo Friis Nielsen. 
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 17 February 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)
• CV
• Academic Diplomas (MSc/PhD – in English)
• List of publications

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 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 .
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 mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 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.

• Job Identification 6687
• Job Category VIP B
• Posting Date 02/02/2026, 01:27 PM
• Apply Before 02/17/2026, 10:59 PM
• Locations Matematiktorvet, Kgs. Lyngby, 2800, DK