Research Associate and Doctoral Candidate (f/m/d) in Intelligent Energy Management Systems

20.11.2024, Wissenschaftliches Personal

The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Research Associate and Doctoral Candidate (f/m/d) in Intelligent Energy Management Systems.

Our research focus:

The researchers working at the Professorship of Energy Management Technologies are focusing on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a sustainable future. These EMS coordinate distributed renewable generation like solar and wind, flexible loads like heat pumps and electric vehicles, and distributed energy storage like stationary batteries and hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes the evaluation of existing systems, extensive simulation-based analyses, as well as the implementation and validation of algorithm and system designs in real world settings.

Your tasks:

You will work on key research projects within the context described above. The Professorship of Energy Management Technologies closely collaborates with other professorships at TUM, industry partners, and partner research institutions. You will support us in making these cooperations efficient and productive. As Research Associate you will also support our teaching activities in several Bachelor and Master programs offered by the School of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare teaching material, serve as teaching assistant in our lectures, support lab courses, and supervise student research.

Your profile:

• Above-average master’s degree in computer science, electrical or mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline
• Advanced software development and data analytics skills
• Hands-on mentality with first practical experience in developing innovative technology
• Inquisitive and passionate about research and knowledge transfer
• Independent, creative, and committed way of working
• Ability to think conceptually and analytically
• At least basic knowledge of energy technology and systems
• Very good command of English
• Big plus: good command of German

Our offer:

We offer you the opportunity to do research within a team of highly motivated researchers and benefit from the research environment offered by one of the best universities in Europe and worldwide. We support your doctoral dissertation in the research areas outlined above. The offered position (pay grade TV-L 13) is initially limited to 2 years. Further employment is possible and intended.

Your application:

We are looking forward to your application until December 4, 2024. Please submit it as one single PDF file via email to applications.emt@ed.tum.de. The application should contain the following documents:

• Curriculum vitae
• Complete academic transcripts
• Letters of reference from previous positions held, including internships
• Bachelor and Master thesis

TUM aims to increase the proportion of women. Qualified women are therefore strongly encouraged to apply. Severely disabled applicants will be given preference if they have essentially the same suitability and qualifications.

If you have any questions prior to applying, please contact Prof. Dr. Christoph Goebel at christoph.goebel@tum.de.

Kontakt: applications.emt@ed.tum.de