Student Assistant Software Development for AI in Energy Technology (f/m/d)

25.08.2025, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

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!

Our research focus:

The Professorship of Energy Management Technologies is focusing on the design and evaluation of innovative information technology to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new algorithms and prototypical systems controlling complex energy systems like the electric grid for a sustainable future. These systems 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.

One of our flagship projects is e-SparX, an open-source platform designed to accelerate Machine Learning (ML) research in the energy sector. While ML is crucial for the energy transition, progress is often slowed by a lack of shared data, models, and reproducible workflows. e-SparX addresses this critical bottleneck by creating a transparent, graph-based ecosystem for ML artifacts, making research more efficient and comparable. In addition to e-SparX, we are constantly developing other innovative software prototypes at the intersection of AI and energy systems.

Your tasks:

• Further development and maintenance of our open-source platform, e-SparX, including its Python backend (FastAPI) and Next.js frontend
• Design and implementation of new software prototypes that apply AI to solve challenges in future energy systems
• Support in the implementation and maintenance of code for various research projects

Your profile:

• Strong interest in software development and AI
• Student of a quantitative discipline like Computer Science, Engineering, Mathematics, Physics, or similar
• Experience in developing software using common IDEs and programming languages (e.g., Python) in a team

Our offer:

We offer you the opportunity to support our research within a team of highly motivated researchers.

To ensure equal opportunity, applications from qualified women are particularly welcome. Disabled candidates will be given preference if they are equally qualified. Applications from candidates with an international background are explicitly encouraged.

Your application:

We are looking forward to your application until October 1, 2025. Please submit it as one single PDF file via email to student-applications.emt@ed.tum.de . The application should contain the following documents:

• Cover letter presenting you qualifications and experiences in the IT domain
• Curriculum vitae
• Academic transcripts

If you have any questions prior to applying, please contact Manuel Katholnigg at manuel.katholnigg@tum.de .

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude, and professional performance.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: student-applications.emt@ed.tum.de