Postdoc in Modelling, Operation, and Control of Energy Systems DTU Compute

Are you prepared to engage in international projects and perform high-impact research gaining practical experience in modelling forecasting and optimization If so this position is ideal for you.

The Section for Dynamical Systems at DTU Compute is looking for a postdoc researcher to join projects in the domain of energy. The projects provide innovative and sustainable solutions for energy systems modelling forecasting state estimation and optimization of energy production distribution and consumption to improve energy performance in buildings support renewable energy resources and add value to demand-side management by introducing and commercializing new opportunities for flexibility. The projects will involve stakeholder engagement across the EU and dissemination activities to ensure the success and sustainability of the project outcomes.

You will become a member of the dynamical systems group working alongside colleagues with diverse backgrounds. Your primary role will be to contribute to project tasks that demand an understanding of electrical or thermal energy system operation and dynamics forecasting modelling approaches and optimization methods. To excel in this role you must have a strong background in AI-driven optimization frameworks meta-heuristic and hybrid algorithms machine learning and deep learning. The projects details will be disclosed to the shortlisted candidates during the interview process.

Responsibilities and qualifications
As a postdoc researcher in this group you

• will be designing and developing solutions for the modelling operation and control of energy systems.
• will develop advanced forecasting methods for energy consumption and production.
• will contribute to developing state estimation methods for distribution grids.
• Will - in collaboration with your colleagues - engage in project management activities and funding applications related to your field of research.
• will work in close collaboration with academic and industry partners.
• will be contributing to ongoing activities within the group.
• are expected to contribute to publishing the project results.

The ideal candidate will have the following qualifications:

• A strong background in mathematics and system dynamics modelling.
• Expertise in AI-driven optimization and control.
• Expertise in machine learning techniques and deep learning.
• Research vision and potential.
• A background in programming tools such as Python and Julia.
• Self-motivated and highly independent.
• Internal and external collaboration skills
• Strong Communication skills
• Good ability to present results in oral presentations and prepare scientific papers for publication in international journals

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 position is a full time position and the period of employment is 1 year. Preferred start date is 1 August 2026 or according to mutual agreement.

You can read more aboutcareer paths at DTU here.

Further information
For further information regarding this role please contact Mohsen Banaei .

For general information about the section and DTU Compute may be obtained from the head of section Razgar Ebrahimy .

You can read more about DTU Compute at.

If you are applying from abroad you may find useful information on working in Denmark and at DTU atDTU Moving to Denmark.

Application procedure
Your complete online application must be submitted no later than 21 May 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 Applied 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 DTUs 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 more about us at.

DTU For the benefit of society since 1829
DTU is one of Europes leading elite technical universities. Through research and education at an international top level we create solutions to the major societal challenges of our time and help secure Europes global leadership in sustainable technological development. Since Hans Christian Ørsted founded DTU almost 200 years ago our mission has remained the same: We develop and create value through the natural and technical sciences for the benefit of society. DTU has 13800 students 1600 PhD students and 6500 employees. We work in an international environment and have an inclusive stimulating and informal work culture. DTU has campuses in all parts of Denmark and in Greenland and collaborates with the best universities around the world.