Optimizing Laser Processes with Bayesian Optimization

vor 2 Wochen


Aachen, Nordrhein-Westfalen, Deutschland Fraunhofer-Gesellschaft Vollzeit
Job Description

At Fraunhofer IPT in Aachen, we are working on making production more digital, flexible, and sustainable. In the "Production Quality" department, we focus on data-driven optimization of production processes using machine learning and artificial intelligence.

Key Responsibilities
  • Develop a Bayesian optimization algorithm for optimizing laser processes
  • Apply and test the algorithm as part of a feasibility study
  • Determine the industrial maturity of Bayesian optimization and investigate its establishment in production engineering practice
Requirements
  • Study in mechanical engineering, automation technology, computer science, mathematics, or a comparable field
  • Interest in artificial intelligence in production technology
  • Familiarity with machine learning theory and approaches
  • Advanced programming skills in Python and related libraries
  • High motivation, willingness to learn, and independence
  • Good language skills in German and/or English
What We Offer
  • Ideal conditions for practical experience alongside studies
  • Professional supervision and collaboration in a dedicated team
  • State-of-the-art machine park equipped with edge cloud systems and 5G infrastructure
  • Flexible working to combine study and job in the best possible way
Company Information

Fraunhofer plays a central role in the innovation process by developing key technologies vital for the future and enabling their commercial utilization by business and industry. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.



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