Part-time Employee in Control Development and Deployment for Building Energy Systems DTU Compute

We are looking for a motivated and independent part-time employee to join our research team.

The position focuses on energy systems control development and on supporting the deployment of advanced control strategies for building energy systems. The work is closely connected to a real-world pilot case where measured sensor data will be used for control and prediction. By joining our team you will contribute to an international research environment for control at the intersection of buildings comfort models and energy grid services.

Your primary tasks will be to:

• Support the calibration and completion of a data-driven grey-box models of the pilot case
• Extend or complement the grey-box model where necessary to prepare it for controller development
• Assist in developing a Model Predictive Controller (MPC)
• Help deploy the MPC and data exchange mechanisms for control commands and measurement considering protocols
• Document and validate models methods and results to ensure reproducibility and reliability

What we expect from you
We are looking for a motivated part-time employee who is eager to apply their skills in a real research environment and contribute to projects with real-word pilots.

You hold a bachelors degree in engineering Energy Systems Control Applied Mathematics or a related field. Experience with control system development and deployment will be a strong advantage but is not a strict requirement.

We expect you to bring an interest in control theory building energy systems and modelling and to enjoy working with both theory and applications. An independent working style is important as you will help carry tasks forward while at the same time being part of a collaborative international team.

Finally you should have excellent oral and written English skills as all of the work and communication will be in English.

What we offer you
We offer you a varied and rewarding role where you will gain hands-on experience with cutting-edge methods in building and energy system research. You will be part of a team of skilled and committed colleagues who value collaboration and knowledge sharing.

You can expect close supervision and mentoring in an international research environment giving you the opportunity to grow both professionally and personally.

Finally you will have the chance to contribute directly to a high-impact project where your work will make a real difference at the intersection of buildings thermal comfort models and energy grid services.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations (AC). You are employed as an AC Bachelor.

Working hours are 20 hours per week and can be organized flexibly. Starting date is according to mutual agreement.

The workplace is DTU Lyngby Campus.

Application and contact
Please submit your online application no later than Friday 7 August 2026 (23:59 Danish time). Open the Apply now link fill out the form and attach your motivated application CVand documentation for study the application we would like to hear a little about you your competencies and why you are applying for the position.

If you would like additional information about the position please contact Dr. Shahab Tohidi .

Read more about DTU-Compute and our team at Dynamical Systems Section at 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.