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

The dynamical system section at DTU Compute is looking for postdoc researchers to join projects that aims on digitalization of the energy sector and contribution of demand response programs in energy efficiency. The projects provide innovative and sustainable solutions for 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 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 electrical or thermal energy system operation and dynamics, modelling approaches, and optimization methods. To excel in this role, you must possess an understanding of the rules and regulations of electricity markets and grid services. 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 modelling, operation, and control of energy systems,
• You will conduct research on new methods and technologies to integrate exiting tools and models into ongoing projects.
• 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.
• Contributing to ongoing activities within the group.
• Contribute to students’ supervision. 
• You are expected to contribute to publishing the project results

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

• Research experience in energy systems dynamics,
• Strong background in modelling, optimization, and control approaches in energy systems,
• Research vision and potential
• Familiar with machine learning techniques
• 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.

The period of employment is 2 year starting from 1 January 2025 or according to mutual agreement.

You can read more about career paths at DTU here.

Further information
For further information regarding this role please contact Mohsen Banaei, moban@dtu.dk. For general information about the section and DTU Compute may be obtained from the head of section, Razgar Ebrahimy, raze@dtu.dk.

You can read more about DTU Compute here. 

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 1 November 2024 (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.

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 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.