Webseite Fraunhofer-Institut für Produktionstechnologie IPT

The Fraunhofer IPT uses machine learning (ML) models that can predict the quality of the products during manufacture. This requires the development of an optimization module that determines the optimal process parameters of the machines and equipment. In this thesis, metaheuristics for parameter optimization are to be benchmarked and implemented on a use case from production.

Your tasks

  • Familiarisation with the state of the art of metaheuristics for parameter optimisation
  • Analysis of existing concepts and methods for process optimization in production
  • Implementation and benchmarking of metaheuristics
  • Evaluation and documentation of the results

Our requirements

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

Your benefits

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

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