Master Thesis: Deep Learning for Defect Detection in Battery Cells
vor 2 Wochen
We are seeking a highly motivated and skilled researcher to join our team at the Fraunhofer IPT in Aachen. As a master thesis researcher, you will have the opportunity to work on a cutting-edge project focused on deep learning-based defect detection in battery cells.
About the ProjectOur team is working on developing a modern deep learning-based defect detection system for lithium-ion battery cells. The system aims to reduce the annotation effort by process experts and improve the efficiency of the production process. As a master thesis researcher, you will be responsible for investigating different deep learning-based defect detection approaches and implementing and evaluating them.
Your Responsibilities- Selection of suitable deep learning approaches in the field of transfer learning
- Training of deep learning models for defect detection and analysis of the results
- Implementation of suitable deep learning models in the defect detection system
- Ideal conditions for practical experience alongside your studies
- GPU server for data science applications and for working efficiently with large models
- Flexible working to combine study and job in the best possible way
The Fraunhofer IPT is a leading research institution in the field of production technology. Our team is dedicated to developing innovative solutions for the production of the future. We value diversity and promote equal opportunities for all employees.
We look forward to receiving your application
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