Student Assistant (f/m/d): Experimental Laboratory for Energy Control and AI Research

Student Assistant (f/m/d): Experimental Laboratory for Energy Control and AI Research

11.10.2026, Student assistants, internships, student research projects

You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research environment? Then let’s design the energy management systems of the future together!

Our research focus:

The Professorship of Energy Management Technologies focuses on the design and evaluation of innovative data-driven and Machine Learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop novel 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:

• Supporting the design and implementation of research infrastructure, in particular a new hardware-based laboratory enabling AI research in energy management
• Working on research projects being conducted in the context of hardware-based energy system models
• Administration of supporting IT systems, code bases, databases
• Support teaching operations, in particular lab courses

Your profile:

• Strong interest in both hard- and software, machine learning, energy management, and technology in general
• Hands-on mentality and interest in working with hardware (e.g., meters, batteries, inverters, switches, etc.) and ideally experience with electrical engineering lab work
• Student of an engineering discipline, ideally Electrical Engineering

Our offer:

We offer you the opportunity to support our research within a team of highly motivated researchers. The position is for 6 months at 8h/ week. Later extension is possible.

Your application:

We are looking forward to your application until October 26, 2026. Please submit it as one single PDF file via email to [email protected]. The application should contain the following documents:

• Cover letter presenting you qualifications and experiences
• Curriculum vitae
• Academic transcripts

Kontakt: [email protected]