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QS Rank:

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233

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University of Twente

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Overijssel

Netherlands

PhD candidate to advance predictive, data-driven production and materials planning incorporating the high variability in high-mix, low-volume (HMLV) manufacturing environments./nThis position is an Industrial Doctorate: the candidate will spend part of the PhD physically at Thales and work directly with planners, engineers, and data teams on real production challenges./nHosted by the Industrial Engineering and Management Sciences (IEMS) section in the High-tech Business & Entrepreneurship (HBE) department of the University of Twente./nPart of the Predictive Plan programme designed with Thales NL, leveraging hybrid AI, data-driven workload estimation, intelligent release planning, and explainable decision support for HMLV production./nThe PhD will operate across the University of Twente (advancing scientific models, algorithms, and hybrid AI methods) and Thales (applying methods to real planning processes, data systems, and production settings)./nCo-supervised by Dr. Engin Topan./nDeveloped hybrid AI solutions need to be developed and implemented locally (cloud-based solutions are not an option for Thales NL)./nAs part of the Industrial Doctorate you will spend 2 days per week at Thales (Hengelo).
intake

Duration

4 Months

Ranking

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#390

US World and News Report

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#233

QS World University Rankings

Class Profile

Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

    • intake

      Cover Letter

    Application Deadlines

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    winterJan 25, 2026

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