BT/MT: »Artificial Intelligence (AI) for process optimization in production«
The Fraunhofer IPT uses machine learning (ML) models that can predict the quality of the products during manufacturing. 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 production use case.
What you will do
What you bring to the table
What you can expect
We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.
With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
Interested? Apply online now. We look forward to getting to know you!
Questions according to this position will be answered by:
Hendrik Mende M.Sc.
Research assistant production quality
Phone: +49 241 8904 -386
Fraunhofer Institute for Production Technology IPT
Requisition Number: 25012 Application Deadline:
Job Segment:
Research Assistant, Computer Science, Mechanical Engineer, Technical Support, Cloud, Research, Technology, Engineering