The newly established Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for Research Associates / Doctoral Candidates (f/m/d) in Machine Learning Applications to Sustainable Energy Management. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant research environment? Then let’s design the energy systems of the future together!

YOUR APPLICATION:

We are looking forward to your application until April 15, 2023. 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.
Die Stelle ist für die Besetzung mit schwerbehinderten Menschen geeignet. Schwerbehinderte Bewerberinnen und Bewerber werden bei ansonsten im wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt.

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 support us in making this cooperation 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. You help us to prepare teaching material, serve as teaching assistant in our lectures, support lab courses, and supervise student research.