Master's thesis: Automated visual inspection of wire segments using AI-based methods

Full time Data Engineering Artificial Intelligence Software Engineering Data Warehouse

Job Description

The FOERSTER Group has been offering the decisive technological advantage in the field of non-destructive material testing for over 75 years. A world-renowned brand that stands for reliability and innovation. The globally active group of companies with headquarters in Reutlingen and over 650 employees develop, produce and sell testing and measuring systems for the metal-producing and metal-processing industry as well as for detection and magnetic field sensor technology.
Master's thesis: Automated visual inspection of wire segments using AI-based methods
Reference number: 25-015

This is what you bring with you

  • You are currently completing a master's degree in a MINT course ( mathematics , computer science , natural sciences or technology)
  • Good knowledge of Python and the modules Numpy, Scikit-Learn, Keras or PyTorch
  • Knowledge of image processing, design and application of neural networks or other machine learning methods , data processing, evaluation and presentation of results
  • Analytical thinking skills, high self-motivation and enthusiasm for technology
  • Structured and solution-oriented way of working
  • Fluent written and spoken English skills

This is what awaits you with us

  • Innovative perspectives: Work in a future-oriented, global company with a fascinating range of technologies
  • Exciting tasks: challenging, varied projects with good development opportunities
  • A family-like working atmosphere: shared lunch in our company restaurant, collegial cooperation on an equal footing and a friendly, helpful team
  • Sustainable mobility: company parking spaces with charging stations for electric vehicles
  • Flexibility: Flexible working hours and the possibility to work remotely
  • ... and much more!