Junior Research Group Battery Data Science

Department Of Sustainable Systems Engineering (inatech)
1 month ago

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English, German
Experience level
Junior

Job location

Tech stack

Data analysis
Computer Programming
Python
Machine Learning

Job description

Design and execution of experiments for systematic defect characterization in battery cells

Conducting high-resolution SAM measurements and CT scans of battery cell samples

Data acquisition, processing, and interpretation of multimodal imaging data

Contributing to the development of automated defect detection methods

Collaboration with partners from industry and academia

Presentation of research results at international conferences and publication in peer-reviewed scientific journals

Requirements

A master's degree (or equivalent) in Physics, Engineering, Chemistry, Materials Science, Computational Engineering or a related field

Practical experience in a research laboratory environment

Experience with measurement techniques and experimental setups

Willingness to work hands-on in the laboratory as well as on data analysis tasks

A strong interest in interdisciplinary research and a creative, proactive, and team-oriented mindset

Ability to plan work independently, set priorities, and manage time effectively

High proficiency in English and German, both written and spoken

Basic or advanced Programming skills (e.g., Python)

Basic knowledge of scientific writing

Experience with lithium-ion batteries or strong motivation to develop expertise in this field is advantageous

Knowledge of imaging techniques (e.g., ultrasound, CT, or related methods) is a plus

Experience with data analysis, machine learning, or artificial intelligence is desirable

About the company

The Battery Data Science Junior Research Group is an independent and interdisciplinary team at INATECH (Institute for Sustainable Systems Engineering) at the University of Freiburg. Our mission is to bridge battery research and data science to develop advanced, application-oriented methods for non-destructive quality assessment of battery cells. Our research focuses on innovative approaches including ultrasound tomography (SAM), cell expansion characterization, and the digitalization of R&D processes. The group is supported by an industrial advisory board.

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