PhD position available: Battery Technology Scientist for Application-Driven Performance and Aging Models

PhD Position: Battery Technology Scientist for Application-Driven Performance and Aging Models

Location:

• Munich TU Munich Apply now

Summary

• Working Time: Full-time
• Type: Not specified

Desired Skills & Knowledge

Infrastructure Budget Open Source Electrical Vehicles Research Matlab Data Protection Programming Experience START Energy Transition Politics Mobile App Python Environmental Management Analysis Sustainability Programming Languages E-Mobility Energy Responsible Work Ethic Teamwork Self-Motivation

Our Benefits

Development Opportunities Training Measures Flexible Working Hours Home Office

Job Description

Your Tasks

PhD position available: "Battery Technology Scientist for Application-Driven Performance and Aging Models"

19.01.2026, Scientific Staff

The research project BEST-BAT addresses this challenge by developing a holistic assessment framework that integrates technical, economic, and ecological aspects of battery cells and systems. Based on realistic applications and systems, battery technologies are systematically characterized, their performance and aging under real load profiles are analyzed, and they are translated into scalable models.

The electrification of industrial and mobile applications is a central lever for achieving climate, energy, and sovereignty goals. Battery technologies play a key role – their technical design, economic efficiency, and ecological impact are crucial for the successful implementation of electric drive solutions. At the same time, the variety of cell chemistries, form factors, and usage concepts is increasing significantly, making the selection of suitable battery solutions increasingly complex. Against this background, scientifically sound, application-oriented, and comparable assessment methods for battery technologies are gaining importance. The research project BEST-BAT addresses this challenge by developing a holistic assessment framework that integrates technical, economic, and ecological aspects of battery cells and systems. Based on realistic applications and systems, battery technologies are systematically characterized, their performance and aging under real load profiles are analyzed, and they are translated into scalable models. The findings will be bundled in an interactive web-based assessment application that offers low-threshold decision support to industry, research, and politics. The goal is to enable well-founded technology decisions, specifically unlock second-life potentials, and sustainably strengthen the technological sovereignty of the German and European battery ecosystem. Become part of our Electric Vehicle Lab at the Chair of Automotive Technology and actively shape the future of electrification for industrial and mobile applications!

About Us

The Electric Vehicle (EV) Lab at the Chair of Automotive Technology researches topics related to electromobility – from powertrain components like high-voltage batteries to vehicle integration and the incorporation of vehicles into mobility and energy systems. We improve the efficiency, sustainability, and economic viability of electric vehicles by optimizing and accelerating the integration of components to complex mobility systems through practical and laboratory tests, as well as highly developed simulations. We not only publish our research findings at numerous conferences and in journals but also make our software available as open source to continuously advance the state of the art.

Your Challenge

In this position, you will work in an interdisciplinary research team on the methodical development, validation, and application of assessment approaches for battery technologies in real use cases. You will support the systematic selection and technical characterization of future-relevant applications and complex application systems, deriving relevant operating profiles and key figures. Building on this, you will conduct experimental and model-based analyses on battery cells of different technologies, develop and validate aging and system models at the cell and system level, and develop a well-founded assessment of second-life potential. Another focus will be on integrating technical results into techno-economic and ecological assessment models (TCO/LCA) and deriving practical recommendations for action. As part of the team, you will have the opportunity to actively shape the assessment and selection of battery technologies for future-relevant applications. You can build an innovative network in science and industry and take on responsibility in the project and at the chair from the beginning – especially in the areas of experimental cell characterization, modeling of aging and system effects, and techno-economic assessment. This is particularly relevant if you want to pursue your own research ideas later or found a spin-off in a technology-oriented environment, for which we offer you all possibilities. You can research and complete your doctorate on a topic that truly interests you and has a direct connection to the energy transition. Through close cooperation with industry partners and research institutions, you will optimally prepare yourself for future tasks in research, development, or consulting in the battery and energy storage sector. Your professional and personal development is very important to us and is actively promoted.

Your Profile

You are enthusiastic about battery technologies and want to contribute to making their application in real-world scenarios technically, economically, and ecologically assessable. Furthermore, you are fascinated by the analysis and modeling of aging and system effects to make reliable statements about the performance and lifespan of cell and system concepts. You have earned your diploma or master's degree in a technical field, such as mechanical engineering, electrical engineering, energy technology, (electro)chemistry, physics, or materials science, with very good grades. Experience in programming and modeling, especially in Python or MATLAB, is part of your repertoire. You are capable of understanding complex issues and approaching them systematically and structurally. You are also a true team player who enriches the project and the chair with new ideas, methodical depth, and high self-initiative.

We Offer You

• Full-time position according to TV-L E-13 (100%), limited to 3 years
• Opportunity for doctorate and start-up founding
• Innovative research area with high relevance and timeliness
• Modern working environment and infrastructure
• Flexible working hours including home office
• Own budget for further training and conferences
• Opportunity for a stay abroad

Contact

The Technical University of Munich strives to increase the proportion of women. Applications from women are therefore explicitly welcomed. The position requires presence at the chair, travel, teamwork, and conducting experiments in laboratories or charging station parks. The position is suitable for filling by severely disabled persons. Severely disabled applicants will be given preference in cases of otherwise essentially equivalent suitability, aptitude, and professional performance. If you have any questions, please contact Cristina (cristina.grosu(at)tum.de / 089 289 10413). We look forward to receiving your meaningful documents (cover letter, CV, appendix) by email or post to: Christiane Schulte bewerbung.ftm(at)ed.tum.de Chair of Automotive Technology Boltzmannstraße 15 85748 Garching

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 personenbezogener 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.

Contact: Cristina Grosu, cristina.grosu@tum.de

More Information

https://www.mos.ed.tum.de/ftm/karriere/stellenangebote/battery-technology-scientist-for-application-driven-performance-and-aging-models Show more Show less

Profile

Technical Requirements

• Batteries, Consulting, Conducting Assessments, Chemistry, Electric Vehicle, Electrical Installation Work, Electric Motors, Electrical Engineering, Energy Technology, Decision Support Systems, Automotive Technology, Research, Innovation, iPhone Apps, Laboratory Testing, Mechanical Engineering, Materials Science and Engineering, Matlab, Multidisciplinary Approach, Sustainability, Open Source, Physics, Politics, Python, Simulations, Scalability, Software Applications, Technology Know-how, Event Management, Sciences

Personal Skills

• Self-Motivation, Teamwork

Education

• Bachelor Show more Show less

Application

Apply now

Industry: Education / Research Employer: TU Munich Address: TU Munich Boltzmannstraße 85748 Garching Web: http://www.mos.ed.tum.de