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At Volkswagen Group Innovation, we develop AI based tools to accelerate key steps in virtual product development. We work closely with our future transfer partners within the Group brands. The creation and evaluation of 3D geometry through load case simulations represent a significant share of the overall development workload. The use of generative AI and neural surrogate models offers tremendous potential for process acceleration. If you are excited about unlocking this potential within the context of an industrial PhD program, we look forward to receiving your application.
Job Responsibility:
Building a comprehensive database consisting of real and synthetic CAD/CAE models
Enhancing AI models for the multimodal generative creation of CAD structures
Enhancing AI models for the performance prediction of load cases
Demonstrating the effectiveness of the developed methods using practical examples
Requirements:
Good to very good university degree qualifying for doctoral studies in mechanical engineering, computer science, or a comparable discipline
Very good programming skills, especially in Python, shell scripting, PyTorch, TensorFlow, and CUDA
Very good knowledge of computer aided design (CAD), particularly CATIA
Good knowledge of software development environments such as Linux, Git, and Jira
German or English language level C1
Independent and structured working style
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