Master's student (f/m/x) - Hybrid PEM Fuel Cell Aging Model Development

German Aerospace Center (DLR); Stuttgart; Vor Ort; EUR 10.000 - 15.000; Teilzeit

Zusammenfassung

The German Aerospace Center (DLR) invites driven Master’s students to join the Institute of Vehicle Concepts (FK) in Stuttgart as an internship or student assistant. You will support research on next-generation railway propulsion and energy systems with a focus on PEM fuel cell aging and sustainability.

Responsibilities include literature review, data analysis, model calibration, and results presentation using Python. Fluent English is required; German language skills are a plus.

Qualifikationen

• Enrolled in Master’s degree program in computer science, engineering, natural sciences or comparable field of study.
• Strong interest in model-based development and simulation.
• Knowledge in data analysis and machine learning methods.
• Experience with Python coding.
• Good written and spoken English skills.
• Independent, structured and motivated way of working.

Aufgaben

• Conduct literature review on PEM fuel cell degradation mechanisms and aging modeling.
• Familiarize with existing physics informed hybrid PEM fuel cell aging modeling framework.
• Analyze Fuel cell stack measurement data from test vehicle.
• Calibrate and optimize model parameters using experimental measurement data.
• Validate model using measurement data from test vehicle.
• Document and present the methodology and results.

Kenntnisse

Python coding

Data analysis

Machine learning

Model-based development

English

Ausbildung

Master’s student

Jobbeschreibung

The Institute of Vehicle Concepts (FK) of the German Aerospace Centre (DLR) is internationally recognized for the design of future road and rail vehicles that enable climate and environmentally friendly mobility while being affordable and user-friendly at the same time.

We research and demonstrate the required key technologies and maintain close cooperation with other scientific institutions as well as industrial and political bodies.

What To Expect

We are looking for a motivated Master’s student interested in an internship or student assistant position to join our team and support our research on next-generation railway propulsion and energy systems. Our work focuses on developing and analyzing innovative concepts that improve the sustainability, efficiency, and durability of railway propulsion systems using a variety of simulation techniques. As part of the team, you will contribute to improving the understanding of fuel cell aging and support the development of strategies for increasing the lifetime and reliability of fuel cell systems in railway applications.

Your tasks

• Conduct a literature review on PEM fuel cell degradation mechanisms and aging modeling approaches.
• Familiarize yourself with our existing physics informed hybrid PEM fuel cell aging modeling framework.
• Analyze Fuel cell stack measurement data from test vehicle.
• Calibrate and optimize model parameters using experimental measurement data.
• Validate model using measurement data from test vehicle.
• Document and present the methodology and results.

Your profile

• Enrolled in Master’s degree program in computer science, engineering, natural sciences or comparable field of study.
• Strong interest in model-based development and simulation.
• Knowledge in data analysis and machine learning methods.
• Experience with Python coding.
• Good written and spoken English skills.
• Independent, structured and motivated way of working

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 5966) please contact:

Mr. Kevin Mullankuzhy

Tel.: [phone]