Optimization Specialist for Laser Processes
vor 1 Monat
We are seeking a highly motivated and skilled researcher to join our team at the Fraunhofer Institute for Production Technology IPT in Aachen. As a Bayesian Optimization Researcher, you will be responsible for developing and applying machine learning algorithms to optimize laser processes.
About the ProjectIn this project, you will work on the development of a Bayesian optimization algorithm for the optimization of laser processes. This involves the application of machine learning techniques to improve the efficiency and quality of laser processing. Your goal will be to determine the industrial maturity of Bayesian optimization and investigate how it can be increased in the future regarding its establishment in production engineering practice.
Responsibilities- Develop and apply machine learning algorithms for the optimization of laser processes
- Collaborate with our team of experts in production technology and machine learning
- Conduct research and analysis to determine the industrial maturity of Bayesian optimization
- Investigate ways to increase the establishment of Bayesian optimization in production engineering practice
- Master's degree in mechanical engineering, automation technology, computer science, mathematics, or a comparable field
- Strong background in machine learning and artificial intelligence
- Advanced programming skills in Python and related libraries (pandas, numpy, PyTorch)
- Good language skills in German and/or English
- Ideal conditions for practical experience alongside your studies
- Professional supervision and collaboration in a dedicated team
- A 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
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.
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