Research Associate & PhD student " AI-driven Automation in the Context of W

at  Khne Logistics University gGmbH

WE ARE SEEKING FOR

Kühne Logistics University (KLU) in Hamburg is investigating new approaches and methodologies to leverage the use of artificial intelligence for warehouse management in collaboration with Arvato, one of the world’s leading global service companies. To support our research team, we are looking for a Research Associate & PhD student “AI-driven Automation in the Context of Warehouse Design” (gn*).

YOUR QUALIFICATIONS

Requirements for employment are a very good degree in computer science, information systems, industrial engineering, or a similar field and the willingness to do research and scientific work within the scope of the task. Prior experience with programming and data analytics are required. We further expect you to have very good communication skills, both in dealing with academic colleagues and with the contacts in the company. You should demonstrate strong analytical skills, enjoy working independently and responsibly, and have fun dealing with large amounts of data. Good command of the German language is a requirement.

ABOUT US

Kühne Logistics University - Wissenschaftliche Hochschule für Logistik und Unternehmensführung (KLU) is a private university founded in 2010 and based in Hamburg’s HafenCity. The independent, state-approved university focuses on the areas of logistics and management. As a boutique university, KLU offers its students and doctoral candidates a high degree of specialization and excellent study conditions. KLU Executive Education offers advanced training programs for specialists and managers within the framework of seminars and summer schools. We offer our employees exciting projects and challenging responsibilities in an innovative environment. Contribute your skills to a strong team that significantly influences and drives the development of our university

You will conduct rigorous research to understand the best practices in next-generation demand planning. The four-year project will have three individual deep dives that will be tailored according to the shared interests of all parties involved. You collaborate closely with Arvato’s team and work under the academic guidance of Prof. Dr. Henrik Leopold. The insights gleaned from your research will be developed into academic journal articles and presentations at leading scientific conferences that will form the basis of your PhD dissertation.