DTU Tenure Track Assistant Professors in Analytics - DTU Management

We are seeking an Assistant Professor in Analytics at DTU’s Department of Technology, Management, and Economics. Focus areas are decision-making under uncertainty and healthcare analytics. We strongly believe in team-based research as well as a dedicated focus on delivering excellent research and value to society.
Are you passionate about solving complex real-world problems using data-driven methods? Do you want to push the boundaries of decision-making under uncertainty and healthcare analytics? Are you excited about developing new theory and methods with a firm basis on some of the most current application areas? If so, we invite you to apply for an Assistant Professor position at the Department of Technology, Management, and Economics at the Technical University of Denmark (DTU).

Analytics encompasses a wealth of quantitative methods within data-driven decision-making. This includes operations research, mathematical modeling, optimization, simulation as well as machine learning and AI. This is our toolbox to solve complex problems and improve operational efficiency.

The Assistant Professor position is part of the DTU tenure-track system and you will be joining a talented and ambitious team at the heart of DTU's mission to develop and create value for the benefit of society. We are an internationally leading environment in analytics with ambitious goals concerning the development of theory as well as application-driven research.

The management and scheduling of scarce resources play a crucial role in addressing many societal challenges, significantly impacting both industry and society. Healthcare management and optimization under uncertainty present complex problems that are difficult to solve and challenging to isolate and decompose. Therefore, these are key research area for the department and the Division of Management Science. Data-driven decision-making enable organizations to predict outcomes and optimize processes, leading to better resource allocation and improved performance.

The Department of Technology, Management, and Economics at the Technical University of Denmark and the country of Denmark can offer the successful candidates:

• A positive and international work environment with a flat hierarchy,
• a team-based and inclusive environment, and
• a universal health insurance as a resident of Denmark, including family members officially residing in Denmark.

Responsibilities and qualifications

As our new assistant professor, you will be instrumental in advancing our department's teaching and research in the field of analytics in this case specifically the two areas of decision-making uncertainty and healthcare analytics:

• Decision-making under uncertainty: Many important decisions are made under uncertainty, especially during the ongoing green transition, which requires significant societal investments in new energy modes, infrastructure, and technology. These decisions span long time horizons and face uncertainties in energy prices, demand, and production from renewable sources. This project aims to develop a new framework for investment decision-making under uncertainty, combining machine learning, algorithms and Operations Research. This position is connected to ongoing research in an ERC Advanced Grant. Professor David Pisinger is leading this area.
• Healthcare analytics: Your role will involve creating and investigating impactful digital decision support systems for healthcare services, focussing on outpatient care in rural and urban areas through digital technologies. Key research areas for this position will be mathematical modeling, optimization, simulation, and artificial intelligence, with the mission to enhance decision-making processes and improve healthcare delivery. The position is connected to ongoing research with our healthcare partners (e.g., Region Zealand). Professor Jens Brunner is leading this area.

For both positions we are looking for candidates with a PhD in Industrial Engineering, Operations Research, Computer Science, Applied Mathematics, or a related field.

You must have demonstrated track record with publications in recognised journals based on experience in developing and applying advanced analytical methods. We focus on strong experise in mathematical modeling, optimization, machine learning, and data-driven decision-making.

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 formal qualification you must hold a PhD degree (or equivalent).

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

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 October 2025 (or according to mutual agreement). The position is a full-time position.

The 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 Professor Jesper Larsen, Head of Division, tel. +45 4525 3381 (e-mail:

jesla@dtu.dk), (decision-making under uncertainty) Professor David Pisinger tel +45 4525 4555 (e-mail:

dapi@dtu.dk) or (healthcare analytics) Professor Jens Brunner, tel. +45 29 99 06 90 (e-mail:

jotbr@dtu.dk).

You can read more about DTU Management at

www.management.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 5 May 2025 (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)
• Vision for teaching and research for the tenure track period
• CV including employment history, list of publications, H-index and ORCID (see

http://orcid.org/)

• Teaching portfolio including documentation of teaching experience
• Academic Diplomas (MSc/PhD)
• Short 2-minute video introducing yourself

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 Management conducts excellent research at the intersection of management, technology and economics. We develop solutions in close cooperation with companies and public authorities. Our research aims at strengthening welfare, productivity and sustainability within the society. A key element is the role of technology and its interaction with industry and individuals. The department offers a wide range of courses and programs at bachelor, master, and PhD levels across DTU's study programs. The department has 200+ employees with around half of staff coming from abroad.

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.

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