AI-supported condition monitoring of new battery technologies (f/m/d)

Apply now

AI-supported condition monitoring of new battery technologies (f/m/d)

Job Description

Req ID: 4615

Place of work: Ulm

Starting date: 01.06.2026

Career level: Doctorate, Experienced professionals

Type of employment: Part time, Full-time

Duration of contract: 3 Jahre

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 12,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

Vacancy-ID: 4615

Place of work: Ulm

Starting date: 01.06.2026

Career level: Doctorate; Experienced professionals

Type of employment: Part time; Full-time

Duration of contract: 3 Jahre

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

Short Description of Institute/Facility - At the Institute of Engineering Thermodynamics we investigate the energy storage systems of today and tomorrow.

The Department of Computational Electrochemistry located at the Helmholtz Institute Ulm for Electrochemical Energy Storage (HIU) develops new theories and tools for the simulative investigation of battery materials and cells. As a member of an internationally leading research team in the field of battery simulation, you will make, together with our partners in industry and academia, an important contribution to the understanding and optimization of this key technologies. We offer you an attractive environment to conduct your cutting-edge research, room for your own ideas and the possibility to receive a PhD.

Your Tasks

• Development and research on machine learning approaches for digital twins of batteries
• Training the models using heterogeneous data sets from simulation and experiment
• Collaboration on projects to validate and integrate the approaches for various applications at DLR
• Presentation of the results at conferences and publication in scientific journals

• Excellent analytical skills demonstrated by a master’s degree in Data Science, Engineering, Physics, or Mathematics
• Profound knowledge in the field of Machine Learning
• Great interest in exploring the possibilities of machine learning for real-world applications
• Good knowledge of the theory, modeling and simulation of physical processes
• Good programming skills in Python
• Independent and results-oriented style of working
• Passion for innovative research
• Proficient English language skills

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 4615) please contact:

Dr. Timo Danner

Tel.: +49 711 6862 8218

Apply now