DTU Tenure Track Assistant Professor in Decision-Making under Uncertainty with a focus on Applications in Integrated Energy Systems

Monday 20 Dec 21

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Imagine a future where you contribute to ensuring that state-of-the-art models, methods and tools drive and accelerate the transition to a digitalized and sustainable society. Join us in this role where you, together with the team, will lead the development and application of methods for optimization and decision-making under uncertainty with a focus on applications in integrated energy systems.

In this position you will conduct research and teaching in the field of decision-making under uncertainty. The main applications will be in intelligent and integrated energy systems. The research exploits new optimization methods to improve operations and decision-making within complex planning problems for energy systems, companies, markets, smart cities and smart societies. To complement and/or integrate these energy applications, related optimization methods in logistics’ operations and scheduling problems will be explored as well. As a colleague in the Section for Dynamical Systems you will be part of a large, vibrant and welcoming environment which is internationally rooted.

DTU is located in the greater Copenhagen area, which is acknowledged for its excellent standards of living, childcare and welfare system.

The position is part of DTU’s Tenure Track program. 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. We develop talent by offering a career mentor, state-of-the-art research infrastructure, and postgraduate teacher training. DTU’s Tenure Track is an appointment of at most six years, during which you will receive career support in the form of professional and personal guidance. At the end of the tenure track appointment you will be evaluated by an external assessment committee, who will assess your appointment to a permanent Associate Professorship. Read more about the DTU Tenure Track program at DTU at this homepage.

Responsibilities and qualifications
You will be responsible for leading research activities related to decision-making under uncertainty and optimization at the Dynamical Systems Section. Specific responsibilities and tasks will include the following:

  • You will research new optimization approaches for various applications (mainly energy systems).
  • You will develop advanced and innovative solution techniques for complex and/or real-time problems.
  • You will engage in exploiting novel combinations and synergy effects with the other methodologies researched and used at the section, especially forecasting and control, in collaboration with your colleagues.
  • You will engage in project management activities and funding applications related to your field of research.
  • You will work in close collaboration with academic and industry partners.

In your career you have focused on decision-making under uncertainty and optimization methods with experience in applications to energy systems and enjoyed teaching activities within the area/field.

More specifically, you should have the following qualifications:

  • Experience with mathematical modelling (linear and mixed integer linear programming) and optimization under uncertainty (stochastic programming, robust optimization)
  • Experience with solving large-scale optimization models
  • Preferably experience with project management and funding applications
  • Preferably experience with statistics, forecasting and machine learning

In addition, you should enjoy working with complex topics in collaboration with you colleagues and external partners. Finally, you should be self-motivated and also inspired by working with real-life problems.

You must be responsible for teaching activities and supervision of master and PhD students.. You will be expected to learn Danish and be able to teach in Danish after 3 years. DTU can provide Danish language courses.

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 salary for the position will be determined by the applicant’s qualifications and in agreement with the relevant union. Further information on qualification requirements and job content may be found in the Ministerial Order on Job Structure for Academic Staff at Universities.   

You can read more about career paths at DTU here

Further information
Further information may be obtained from Professor and Head of Section, Henrik Madsen, email: hmad@dtu.dk, tel.: +45 4525 3408.


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

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 24 January 2022 (Danish time)Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", 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)

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.

The Dynamical Systems section
The section conducts fundamental, advanced, strategic and applied research in the area of dynamical systems. This involves both deterministic and stochastic systems, discrete and continuous systems, deductive and inductive model building, forecasting, control, optimization as well as methods for ML and AI.

DTU Compute
DTU Compute is a unique and internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we believe in a diverse workplace with a flexible work-life balance.


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 vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 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.