Postdoc in Power System Dynamics, State Estimation, and Optimization - 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.

It offers the chance to collaborate with both internal and external stakeholders from academia and industry, enabling you to contribute to proposing innovative technological and digital solutions for the entire energy sector.

The dynamical system section at DTU Compute is looking for postdoc researchers to join projects in the domain of power systems. The projects provide innovative and sustainable solutions for power systems forecasting and state estimation, and optimization of energy buildings and energy communities' operation, to improve energy efficiency, support renewable energy resources, and utilize demand side flexibility for supporting the grid stability. 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 a deep understanding of power system operation and dynamics, frequency control, and optimization methods. To excel in this role, you must have a strong background in power system control and dynamics, optimization, and machine learning. The project's details will be disclosed to the shortlisted candidates during the interview process.

Responsibilities and qualifications
As a postdoc researcher in this group:

• You will work on frequency control in power systems using demand-side flexibility,
• You will develop advanced optimization and coordination methods for different types of loads, including electric vehicles and heat pumps,
• You will contribute to developing state estimation methods for distribution grids,
• 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.
• Contributing to ongoing activities within the group.
• You are expected to contribute to publishing the project results.

A successful candidate will have a solid background in the following areas:

• Strong background in power systems dynamics and frequency control, especially for interconnected multi-area power systems,
• Expert in optimization and control methodologies for electric vehicles and thermal and electrical storage,
• Background in machine learning techniques and their application in power systems,
• Research vision and potential,
• Background in programming tools such as Python and Julia,
• Self-motivated and highly independent,
• Internal and external collaboration,
• 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. In addition, supplements can be negotiated in accordance with DTU’s salary structure for scientific staff: .

The period of employment is 2 years.

You can read more about career paths at DTU here .

Further information
For further information regarding this role please contact Mohsen Banaei, Se e-mailadresse på studerendeonline.dk .

For general information about the section and DTU Compute may be obtained from the Head of Section, Razgar Ebrahimy, Se e-mailadresse på studerendeonline.dk .

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 at DTU – Moving to Denmark .

Application procedure
Your complete online application must be submitted no later than 31 July 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 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 .

DTU – For the benefit of society since 1829
DTU is one of Europe's 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 Europe's 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 13,800 students, 1,600 PhD students, and 6,500 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.

Location
Kgs. Lyngby, Denmark

Apply Before
2026-07-31T21:59:00+00:00