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During your three-year doctoral studies, you will develop an AI method to distinguish good components from defective ones based on the data available in production. You will work closely with steel manufacturers and colleagues from production.
Job Responsibility:
Familiarizing with the topic by determining the state of science and technology
Independently selecting data and methods to carry out the task
Using Machine Learning methods to optimize production
Evaluating test series in collaboration with colleagues from the Volkswagen Group
Preparing results and presenting them in internal and external environments
Requirements:
Good to very good university degree with eligibility for doctoral studies in the fields of Materials Science, Mechanical Engineering, or Computer-Aided Technologies
Knowledge in the field of steel materials and sheet metal forming
German or English language level B2
Quick comprehension, high level of commitment, precise and conscientious working style
Willingness to communicate with colleagues from all disciplines
Nice to have:
Advanced knowledge in Machine Learning (ML) and Artificial Intelligence (AI)
What we offer:
Attractive salary & 30 vacation days (+ 24.12. and 31.12. off)
35-hour week, flexible working hours, remote work
Special conditions for the purchase and leasing of vehicles
Free seminars on scientific work and interdisciplinary qualifications
Participation in the doctoral network for scientific exchange with science representatives and other doctoral candidates within the Volkswagen Group
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