Ongeveer 11 uur geleden - Technische Universiteit Eindhoven - Eindhoven
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PhD position in the area of stochastic processes and applied probability. The project is related to high-tech manufacturing systems in collaboration with ASML, Philips HealthTech and Hilti. A strong background in mathematics is required and some affinity with programming is highly desirable.
Manufacturing high-tech systems requires the effort of some hundred teams of highly specialized engineers employed by the manufacturer and dozens of suppliers. Nobody can oversee the entire operation. Instead, the process is somehow orchestrated by delivery deadlines agreed between upstream teams that produce a (sub)component and downstream teams that need it. Teams are pressured to deliver early, but are limited by scarce production capacities, their ability to bear financial risks, and agreements with teams further upstream.
The project applies probabilistic scaling techniques, such as fluid and diffusion limits and mean-field scalings to supply-chain models that are sufficiently tractable to apply techniques from optimal control theory. The goal is to gain fundamental insights into the macroscopic behavior of supply chains. This will lead to a rigorous assessment of performance in situations where multiple companies plan their production individually in a single supply chain. The position is embedded in the NWO-funded project 'Complexity in high-tech manufacturing', which includes several partners in high-tech manufacturing such as ASML, Philips HealthTech and VDL/ETG.
The project will be carried out at the Mathematics and Computer Science department of the Eindhoven University of Technology. The department has a vibrant international environment, with 46% of the scientific staff being non-Dutch nationals and more than 100 PhD candidates. It has extensive experience in helping new (foreign) employees settle in.
The PhD candidate will be supported and supervised by an extensive research team of experienced faculty and industrial partners. At TU/e, Prof. Dr. Bert Zwart (firstname.lastname@example.org) and Dr. Maria Vlasiou (email@example.com) will be involved. Further collaboration with researchers from ASML, Philips HealthTech and VDL/ETG is expected.
Preference will be given to candidates in any branch of applied mathematics and to candidates from a different background (e.g. engineering) but with strong mathematical foundation. Research experience will be highly valued. Strong knowledge of applied probability and analysis is highly desirable, as well as some programming experience.
The successful applicant will hold a Master's degree in Mathematics, Applied Mathematics or related fields. All applications should include a cover letter, curriculum vitae, and transcripts. Proficiency in English is also required.