Postdoc in Pattern Set Mining in Stochastic Optimization - DTU Management

We are looking for an ambitious candidate for a PostDoc project to focus on pattern set mining in stochastic optimization.

In stochastic optimization there may exist a plenitude of optimal alternatives that may be relevant for the decision maker. You will be responsible for developing new, fast solution methods for stochastic optimization problem that can find many near-optimal solutions, and to organize the alternative solutions in an understandable way. This could involve methods like Pattern Set Mining, Association Rule Mining, or Outranking methods. You will be working cross-disciplinary involving algorithmics, stochastic optimization, multi-criteria decision making, and data science.

As part of the project, you will implement and test algorithms and further develop your skills in writing scientific papers.

The developed models will be tested on data from energy investment models, as well as transport infrastructure problems.

We will be an academic team of three PhD students and four PostDocs at DTU, as well as several international experts. The project is headed by David Pisinger who has published several hundred papers in optimization and algorithms. DECIDE is funded by Horizon ERC Grants (ERC-2022-ADG).

You will have the chance of working in a vibrant, interdisciplinary environment at one of Europe’s top technical universities, a university that values innovation, societal impact, and diversity. Located in Copenhagen, one of the world's most livable cities, the university offers an excellent quality of life, a safe and sustainable urban environment, and a vibrant cultural scene. 

Responsibilities and qualifications
As part of the DECIDE project you will be working on developing next generation of tools for decision making under uncertainty. 

• You should have at least basic knowledge about stochastic optimization.
• Knowledge about various data mining techniques.
• It would be an advantage to have some experience in writing efficient algorithm, and solution of optimization problems.
• You should be passionate for research and for pushing the scientific frontiers.
• Excellent programming skills.
• Good collaboration skills.
• Fluent in English, spoken as well as written.

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 3.5 years (42 months). Starting date is 1 December 2025 (or according to mutual agreement).

You can read more about career paths at DTU here.

Further information 
Further information may be obtained from Professor, David Pisinger (DTU), tel.: +45 4525 4555, email: dapi@dtu.dk. 

You can read more about DTU Management at www.man.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 10 October 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)
• CV
• Academic Diplomas (MSc/PhD – in English)
• List of publications 
• A research statement (2-3 pages) explaining your ideas and relevant litterature

Applicants not providing all the above material will not be considered.

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.