Master Thesis: Identifying Physicochemical Battery Parameters

Infineon Technologies AG; München; Vor Ort; EUR 60.000 - 80.000; Teilzeit

Zusammenfassung

A leading technology company in Munich is looking for a student intern to further develop battery models using machine learning and data analysis. The ideal candidate should be studying a related field and have hands-on experience with lithium-ion batteries. Strong problem-solving skills and coding abilities in Python are essential. The role offers a fast-paced work environment with opportunities to make significant contributions to energy storage technology.

Qualifikationen

• Practical experience with lithium-ion batteries and numerical simulation.
• Excellent coding skills in Python.
• First experience with battery testing hardware or embedded software is a plus.

Aufgaben

• Further develop electrochemical impedance models for lithium-ion batteries.
• Implement machine learning algorithms to estimate battery parameters.
• Conduct data analysis to improve battery models.
• Validate and optimize models through testing and simulations.

Kenntnisse

Python

Machine Learning

Data Analysis

Problem-Solving

Electrical Engineering

Ausbildung

Currently studying Computer Science, Electrical Engineering, or similar

Jobbeschreibung

Are you passionate about the future of energy storage and want to dive deeper into lithium-ion battery modeling in a DAX40 company? Then apply and make life easier, safer, and greener with us! We are looking forward to your application!

Job Description

• Further Develop Electrochemical Impedance Models: You will refine physics-based models to simulate the behavior and aging of lithium-ion batteries, focusing on impedance responses under various conditions
• Implement Identification Algorithms: You will evaluate and apply machine learning techniques (e.g., regression, neural networks) to estimate key battery parameters from experimental impedance data, improving model accuracy and computational efficiency
• Conduct Data Analysis: You will analyze experimental data to identify patterns and correlations that can inform the development of more precise battery models
• Validate, Optimize, and Integrate Models: You will validate and optimize the developed models through experimental testing and simulations, integrating machine learning with physics-based modeling to enhance performance and ensure reliable predictions for battery management systems (BMS)

Your Profile

• Study field: You are currently studying Computer Science, Electrical Engineering, Mathematics, Mechanical Engineering, Robotics, or similar
• Experience: You have practical experience with lithium-ion batteries, a background in numerical simulation, ML and excellent coding skills in Python
• As a plus: You already have first experience with battery testing hardware, data analysis, or embedded software engineering in C
• Personality: You have strong problem-solving abilities and out-of-the-box thinking
• Way of work: You are able to work in a fast-paced environment and meet deadlines
• Language skills: You have good English skills, both written and spoken; German is a plus

Please attach the following documents to your application:

• CV in English
• Certificate of enrollment at university
• Excerpt of the study regulations for the thesis (if applicable)
• Latest grades transcript (not older than 6 months)
• High school report

Contact: Mayara Fortino

Further information about the company and the application process can be found on our careers pages.

#WeAreIn for driving decarbonization and digitalization. Infineon enables energy storage, mobility, and IoT solutions that are green, efficient, and secure. We embrace diversity and inclusion and aim to give all applicants and employees equal opportunities. We base our recruiting decisions on experience and skills. We look forward to receiving your resume, even if you do not meet all the requirements.