Master Thesis: Deep Learning for Defect Detection in Battery Cells

vor 1 Woche


Aachen, Nordrhein-Westfalen, Deutschland Fraunhofer-Gesellschaft Vollzeit
Join Our Team as a Master's Thesis Researcher

We are seeking a highly motivated and skilled researcher to join our team at the Fraunhofer Institute for Production Technology IPT in Aachen. As a master's thesis researcher, you will have the opportunity to work on a cutting-edge project focused on developing a deep learning-based defect detection system for battery cells.

Project Overview

Our team is working on optimizing production processes for lithium-ion battery cells and fuel cells using artificial intelligence. Within this project, you will investigate deep learning-based defect detection approaches to reduce reject rates and improve production efficiency. You will work closely with our team of experts to develop and implement a modern deep learning-based defect detection system.

Responsibilities
  • Selection of suitable deep learning approaches for transfer learning
  • Training and evaluation of deep learning models for defect detection
  • Implementation of deep learning models in the defect detection system
Requirements
  • Master's degree in mechanical engineering, computer science, or a related field
  • First experience with PyTorch and deep learning is an advantage
  • High degree of initiative, independence, and problem-solving skills
What We Offer
  • Ideal conditions for practical experience alongside your studies
  • Access to a GPU server for data science applications and efficient model training
  • Flexible working arrangements to combine study and job

We value diversity and welcome applications from all qualified candidates. Severely disabled persons are given preference in the event of equal suitability. If you are interested in this opportunity, please apply online now. We look forward to getting to know you.



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