Are you fascinated by data-driven approach in inventory management? Are you curious about how human inventory decision makers interact with the solutions obtained from data-driven approach?
The School of Industrial Engineering is one of the longest-established IE Schools in Europe, with a strong presence in the international research and education community, especially in the field of Operations Management and Operations Research. OM and OR are at the core of the undergraduate IE program. The graduate programs (MSc and PhD) in Operations Management & Logistics attract top-level students from all over the world. Researchers in the school are member of the Beta research school and participate in industrial activities with members of the European Supply Chain Forum.
The group Operations, Planning, Accounting and Control (OPAC) conducts research in the area of Operations Management, with specific emphasis on
The Eindhoven AI Systems Institute (EAISI) combines all TU/e Artificial Intelligence activities. Top researchers from various research groups work together to create new and exciting AI methodologies and applications with a direct impact on the real world. TU/e has been active in the field of AI for many years, which gives the new institute an excellent starting position to build upon.
Applicants should have completed (or be close to completion of) a Master's degree in mathematics, operations management, operations research, econometrics, industrial engineering, or a closely related discipline, with a solid background in mathematical methods. Fluency in English is required.
Demand uncertainty is one of the main challenges in supply chains. Optimizing inventory to maximize profit without knowing the demand, has never been an easy task for the decision makers in practice. When the demand is highly uncertain without knowing the distribution, the inventory decisions will be even more complex.
To tackle this problem, we will conduct a comprehensive study of the data-driven robust optimization (DDRO) approach, theoretically, empirically, and behaviourally. In theory, we will develop a new DDRO approach. In collaboration with companies, we will analyse the empirical data carrying out the new approach. In the behavioural perspective, we will validate and evaluate the DDRO solution and other AI solutions (e.g. obtained from reinforcement learning) to support human decision makers.
We expect you to:
More information about the OPAC group can be found at https://www.tue.nl/en/research/research-groups/operations-planning-accounting-and-control/, about the EAISI can be found at https://www.tue.nl/en/research/institutes/eindhoven-artificial-intelligence-systems-institute/.
More information about this position and the research programs can be addressed to:
dr. A. Marandi, e-mail: a.marandi[at]tue.nl
dr. L. Tan, e-mail: firstname.lastname@example.org.
We invite you to submit a complete application by using the 'apply now'-button on this page. The application should include the following documents (all in English):
Please note that a maximum of 5 documents of max 2 Mb can be uploaded, so if you have more than 5 documents you will have to combine them.
If you are interested, we invite you to apply as soon as possible. You can send us your application through the online job portal of the TU/e: http://jobs.tue.nl/en/vacancies.html. We start interviewing as soon as possible and keep the position open until the position has been filled.
Please do not send us applications by e-mail!