Webseite Fraunhofer-Institut für Produktionstechnologie IPT

 

The Fraunhofer IPT uses artificial intelligence (AI) to optimize processes in optics production. This requires the use of machine learning (ML) models that can predict the quality of the optics to enable the optimisation of the process parameters. In this thesis, ML-models for multi-target regression are to be benchmarked and implemented for a use case from optics production.

Your tasks

  • Familiarisation with the state of the art of algorithms and methods for multi-target regression
  • Data pre-processing of available time series data from optics production
  • Implementation and benchmarking of ML-models for multi-target regression
  • Evaluation and documentation of the results

Our requirements

  • You are studying engineering, computer science, operations research or a comparable subject
  • Initial experience in the field of machine learning is an advantage
  • A high degree of initiative and team spirit
  • Very good language skills in English

Your benefits

  • Pioneering role in AI-based predictive quality in optics production
  • Access to excellent equipment and infrastructure
  • Collaboration in a dedicated team consisting of engineers, data scientists and software developers
  • Available data basis

We look forward to receiving your application
Hendrik Mende M. Sc.
Fraunhofer Institute for Production Technology IPT
Steinbachstraße 17, 52074 Aachen, Germany
hendrik.mende@ipt.fraunhofer.de

Um sich für diesen Job zu bewerben, sende deine Unterlagen per E-Mail an hendrik.mende@ipt.fraunhofer.de