Master thesis - Development of a Fuel Cell Aging Model using Machine Learning Algorithms (f/m/x)

Master thesis – Development of a Fuel Cell Aging Model using Machine Learning Algorithms (f/m/x)

Job Description

Req ID: 1148

Place of work: Stuttgart

Starting date: sofort

Career level: Student research project and final thesis

Type of employment: Part time

Duration of contract: 4-6 Monate

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

About DLR

Enter the fascinating world of the German Aerospace Center (DLR) and help shape the future through research and innovation! We offer an exciting working environment driven by our 11,000 employees from 100 nations. We develop sustainable technologies to address global challenges. Join us in tackling these challenges!

The Institute of Vehicle Concepts (FK) at DLR is recognized for designing future road and rail vehicles that enable climate-friendly mobility that is affordable and user-friendly.

What to expect

We seek a Master’s thesis candidate to investigate fuel cell aging modeling methods to improve energy efficiency and sustainability in rail operations. Focus will be on data-driven and machine learning approaches to develop a fuel cell aging model and identify strategies to extend fuel cell lifespan and efficiency in railway applications.

Your tasks

• Conduct literature research on PEM Fuel Cells and their application in rail vehicles.
• Research fuel cell aging modeling methods.
• Analyze available data.
• Select and implement suitable machine learning algorithms in Python to estimate fuel cell aging based on data and requirements.
• Evaluate model performance and propose strategies to enhance fuel cell lifespan and efficiency.

Your profile

• Currently studying in Computer Science, Data Engineering, Mechanical Engineering, Vehicle Engineering, Energy Engineering, Aerospace Engineering, or related fields.
• Interest in sustainable energy systems, fuel cell tech, and machine learning applications in energy management.
• Knowledge of energy systems, machine learning algorithms, and Python programming.
• Proficient in English, both written and spoken.
• Independent and proactive working style.

Depending on qualifications, pay group up to E05 TVöD.

We offer

DLR values diversity, appreciation, and equality. We promote independent work and personal and professional development through training opportunities. We are committed to increasing the proportion of women in science and management. Applicants with severe disabilities will be given preference if qualified.

We look forward to your application!

For questions about this position (Vacancy-ID 1148), contact:

Marcel Konrad
Tel.: +49 711 6862 497

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