Area of research:
Scientific / postdoctoral posts
Starting date:
27.09.2022
Job description:
Funded by the German Research Foundation (DFG), the Research Unit 5339 "AI-based Methodology for the Fast Maturation of Immature Manufacturing Processes" was recently established at KIT and the Fraunhofer IOSB.
You will be part of a large, interdisciplinary team from the fields of production engineering and computer science and explore fundamentally new approaches in seven sub-projects to make the complex development phases of new production processes faster, more cost-effective and efficient through the targeted use of AI methods.
The aim of your research work in subproject F "Management and quantification of maturity improvement" is to develop mathematically based methods with which it will be possible to quantitatively and meaningfully assess the process maturity achieved in new, still immature production processes along their process development and optimization. The concepts of "observability" and "controllability" known from systems theory are to be modified and further developed so that a probability-based statement about the maturity of the production process can be derived. Methodologically, approaches of PAC-Learning (Probably Approximately Correct), Bayesian statistics, systems theory and artificial intelligence are to be used as a basis in order to explore and implement a continuous calculation chain starting from observable and controllable process variables up to an easily understandable probabilistic statement about the process maturity.
The final goal of your scientific activities for the DFG Research Unit at KIT is your doctorate.
This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.
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