<!-- ko if: isJobTitleVisible --> Research Assistant in Data-driven Methods for Positive Energy Districts and Interoperability - DTU Compute <!-- /ko --> <!-- ko if: isAlreadyAppliedVisible --><!-- /ko -->

In this position, you will be part of the absolute forefront in the development of intelligent solutions for positive energy districts, including machine learning/AI methods for optimizing the energy consumption, mathematical models for digital twin technology, and minimum interoperability mechanisms for streamlining the integration across devices, consumers, and technologies.
You will be part of a large international team that strives to make advanced technical solutions happen in reality, and you will contribute to a high-impact holistic solution developed in the Horizon Europe project BIPED.
Responsibilities and qualifications
Your overall responsibility will be to develop mathematical methods and software that support the overall vision of the BIPED project. You will collaborate with colleagues at the department, external academic collaborators, and industry partners from both national and international institutions and companies. Specifically, you will develop data-driven mathematical models that adapt to structural changes in energy consumption time series data, and develop software methodologies that allow the data to interconnect smart buildings and neighbourhoods such that they can coordinate their consumption and local energy production. 
Your primary tasks will be to:

• develop methods for data-driven dynamical modelling, control, and optimization of energy consumption/production,
• develop software and interoperability mechanisms for coordination between smart buildings operated by AI solutions, and
• disseminate your work through written reports and presentations and project workshops.

As a formal qualification, you must have a master’s degree in engineering 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 Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.
The period of employment is 6 months, and the starting date is 1 August 2025 (or according to mutual agreement).
You can read more about career paths at DTU here .
Further information
Further information may be obtained from Head of Section Razgar Ebrahimy (raze@dtu.dk ).
You can read more about the Department of Applied Mathematics and Computer Science at www.compute.dtu.dk  and about the research section on Dynamical Systems at www.compute.dtu.dk/sections/dynsys .
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 July 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)

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 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  www.compute.dtu.dk .
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.

• Job Identification 5421
• Job Category VIP B
• Posting Date 06/26/2025, 03:49 AM
• Apply Before 07/10/2025, 05:59 PM
• Locations Matematiktorvet, Kgs. Lyngby, 2800, DK