About usEindhoven University of Technology is a top-ranking Dutch university that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a number 1 position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
The Department of Industrial Engineering and Innovation Sciences engages in research and teaching in the areas of industrial engineering, management science, and innovation science. The mission of the department is closely tied to its pioneering work in developing an engineering perspective on business processes, as well as its interdisciplinary research on transitions in societies in relation to technical changes. The department offers an academic environment in which scholars and students work on critical problems at the interface of engineering, management and innovation. The department has two schools: Industrial Engineering and Innovation Sciences. The school of Industrial Engineering focuses on the design, behavior and performance of operational and innovation processes in industrial and service organizations. It covers the complete business chain of product design, process design, production, purchasing, outsourcing, distribution and marketing & sales.
The School of Industrial Engineering includes the following research groups:
• Operations Planning, Accounting & Control (OPAC);
• Human Performance Management;
• Information Systems;
• Innovation, Technology Entrepreneurship & Marketing.
The open PhD position is in the OPAC group. This group teaches and conducts research in operations planning and control in manufacturing, supply chains, transport and logistics, and maintenance. Research is generally quantitative in nature, while many of the researchers also engage in empirical research.
Job DescriptionYou will work in the research project The Digital Factory of the Future at the Brainport Industries Campus. Multiple high-tech manufacturing companies participate in this project. The aim of this project is to create a blue-print for the digital infrastructure of the factory of the future, enabling data-sharing among individual machines, equipment and production processes and generating new data-driven smart applications and services. In close collaboration with high-tech manufacturing companies, you will develop, implement and test algorithms to integrate and optimize the planning of material handling, manufacturing, tools, operators and warehousing operations. The algorithms will be based on the digital twin of the factory, combining optimization techniques and artificial intelligence. A simulation framework will be developed to test proposed control algorithms with respect to flexibility, robustness, utilization and lead time improvement.