The Information Systems Group in the School of Industrial Engineering performs advanced research in the area of business intelligence, business process management, and business engineering. All research is embedded in SIKS (Netherlands Research School for Information and Knowledge Systems) and Beta (the KNAW-recognized research school for Operations Management & Logistics). Department of IE&IS has a strong national and international reputation for both basic research in the academic community and applied research with industry. The successful applicant will have the opportunity to profit from the benefits that such an environment has to offer and to contribute to the ongoing research.
Job Description
In the project ‘Data-driven automated dynamic pricing tools for logistics’ funded by Dinalog, we will conduct research into machine learning based solutions for dynamic pricing in highly stochastic airfreight shipment environment, and develop an automated end-to-end decision-making framework. The project that forms the context for this position involves intensive collaboration with CEVA Logistics, which is a world leader in third-party shipping and logistics. The candidate will work at the Information Systems group (IS) at the School of Industrial Engineering, TU Eindhoven. In addition, the candidate will work two days per week at CEVA Logistics, to bring his/her knowledge to practice as a postdoctoral logistician.
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
About us
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Information
Do you recognize yourself in this profile and would you like to know more?
Please contact Dr. Yingqian Zhang, e-mail yqzhang[at]tue.nl or +31 40 247 2872.
Visit our website for more information about the application process or the conditions of employment.
You can also contact Najat Loiazizi, HR Advisor, e-mail n.loiazizi[at]tue.nl or +31 40 247 8933.
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Application
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We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.