Position
PhD-student
Irène Curie Fellowship
No
Department(s)
Industrial Engineering and Innovation Sciences
FTE
1,0
Date off
30/06/2024
Reference number
V39.7474
Job descriptionToday, many companies in various industries need to manage highly complex stochastic systems where uncertainties are inherent and data is ubiquitous. These systems span various domains, from manufacturing equipment, to rental systems, to production systems and beyond. In such environments, decisions must be made repeatedly to maximize profits while balancing conflicting outcomes and exploiting real-time data. For instance, in manufacturing operations, decisions regarding production speeds directly impact production outputs on the one hand, and factors such as equipment deterioration and energy consumption on the other hand. Similarly, in rental systems, optimizing pricing strategies to match real-time demand with supply is crucial for revenue maximization.
Given these complexities, there's a growing demand for advanced methodologies and algorithms aimed at devising revenue management strategies for complex stochastic systems. Leveraging the increasing availability of data and the seamless connectivity facilitated by the Internet of Things, these methodologies and algorithms capitalize on real-time data accumulation for instant decision-making. This PhD position presents an exciting opportunity to study revenue optimization problems for complex stochastic systems in various industries. This could involve everything from tractably modeling new revenue management problems to devising provably (near-)optimal algorithms to solve the established ones.
In this position you will work in the team of Zumbul Atan and be co-supervised by Collin Drent and Melvin Drent. Collin and Melvin, both assistant professors, specialize in stochastic decision-making under uncertainty, with applications in supply chain management, manufacturing, and maintenance. Zumbul Atan, an associate professor, focuses on revenue management and retail operations, with a particular emphasis on circularity.
Job requirementsA 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.
Eindhoven and its metropolitan area are the major hub of the technology sector in the Netherlands, collectively known as the Brainport region. Many global leaders in technology like ASML or Philips are based in the fastest growing region in the Netherlands. The School of Industrial Engineering and its faculty enjoys strong links with the local high-tech industry on all levels.
Information Do you recognize yourself in this profile and would you like to know more? Please contact Zumbul Atan, email: [email protected], Melvin Drent, email: [email protected], or Collin Drent, email: [email protected].
Visit our website for more information about the application process or the conditions of employment. You can also contact [email protected].
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Application We invite you to submit a complete application by using the apply button. The application should include a:
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.