Job title: PhD Student Operations Research (f/m/d)
Company: Volkswagen
Job description: Work environmentVolkswagen AG offers you an exciting research environment at the intersection of science and industrial practice. As a doctoral candidate, you will work in the field of software development for production planning and control at one of the world’s leading automotive manufacturers. Your research is embedded in Volkswagen’s strategic digitization initiatives. The main focus of the research is on optimizing operational customer order and production planning based on dynamic market and capacity constraints. The aim of the optimization is high production utilization, delivery reliability, and a stable supply chain. You will be part of an interdisciplinary team that develops innovative solutions for complex planning problems in global production networks. Direct involvement with data-driven, international, and agile teams enables rapid verification of new ideas. The Volkswagen Doctoral Program additionally supports you through training and a broad network. You will work both on your dissertation topic and on department-internal, research-related tasks.Possible Tasks within this Role
The final doctoral topic is defined together with the professor. The prerequisite for the cooperation is the confirmation of supervision as well as a confirmed delimitation of topics by the professor of a university or research institution entitled to confer a doctorate.Qualification requirements
KeywordsDissertation, Production optimization, Digital transformation, Industry 4.0, Agile manufacturingWhat we offer
Contact person for this posting: Fabian WenzelWork environmentVolkswagen AG offers you an exciting research environment at the intersection of science and industrial practice. As a doctoral candidate, you will work in the field of software development for production planning and control at one of the world’s leading automotive manufacturers. Your research is embedded in Volkswagen’s strategic digitization initiatives. The main focus of the research is on optimizing operational customer order and production planning based on dynamic market and capacity constraints. The aim of the optimization is high production utilization, delivery reliability, and a stable supply chain. You will be part of an interdisciplinary team that develops innovative solutions for complex planning problems in global production networks. Direct involvement with data-driven, international, and agile teams enables rapid verification of new ideas. The Volkswagen Doctoral Program additionally supports you through training and a broad network. You will work both on your dissertation topic and on department-internal, research-related tasks.Possible Tasks within this Role
The final doctoral topic is defined together with the professor. The prerequisite for the cooperation is the confirmation of supervision as well as a confirmed delimitation of topics by the professor of a university or research institution entitled to confer a doctorate.Qualification requirements
KeywordsDissertation, Production optimization, Digital transformation, Industry 4.0, Agile manufacturingWhat we offer
Contact person for this posting: Fabian WenzelJob ID: 15342Company: Volkswagen AGLocation:Wolfsburg, DE, 38436Department: IT and DigitalizationCareer Level: PhD studentsWorking Model: Full-timeContract Type: Fixed-termRemote Working: Up to 40%Posting Date: Jun 25, 2025Volkswagen – that’s whyWe want to revolutionize and shape the mobility of tomorrow sustainably. For this purpose, we are looking for talents who are willing to break completely new ground with us and are not afraid to make mistakes. We are looking for personalities who want to achieve something extraordinary. And talents who believe in the innovative power of big ideas. Are you in?Questions?Mail: ✉️
Hotline: +49 5361 9 36363The costs for calls depend on the your provider’s tariff. Roaming charges may apply for calls from abroad.Technical Issues?✉️Legal Notices
Expected salary:
Location: Wolfsburg, Niedersachsen
Job date: Fri, 27 Jun 2025 04:35:28 GMT
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