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PhD Position in Real-Time Multimodal Construction Transport Optimization & AI-Driven Decision Support, Netherlands

The University of Twente is inviting applications for a PhD Position in Real-Time Multimodal Construction Transport Optimization & AI-Driven Decision Support. This four-year doctoral opportunity focuses on developing innovative AI-based and optimization-driven decision-support systems to enable efficient, low-emission multimodal logistics for prefabricated construction.

Applicants must hold a master’s degree in Industrial Engineering, Operations Research, Applied Mathematics, Computer Science, Transport Engineering, or a closely related field. Candidates should have a strong interest or background in optimization, simulation, data-driven modelling, decision support systems, and AI. The ability to work independently and collaboratively within an international, multi-partner research environment is essential.

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The University of Twente (UT) is a leading public research university located in Enschede, the Netherlands, renowned for its strong focus on engineering, technology, and social sciences. Known as an entrepreneurial university, UT combines high-quality academic research with real-world impact, working closely with industry, government, and societal partners.

Application Deadline: January 24, 2026

Brief Description

  • University or Organization: University of Twente
  • Department: High-tech Business & Entrepreneurship (HBE), Industrial Engineering & Management Sciences (IEMS)
  • Collaborating Faculty: EEMCS – Pervasive Systems Research Group
  • Course Level: PhD
  • Award: Salary
  • Access Mode: Online
  • Number of Awards: 1
  • Nationality: Domestic and international
  • The award can be taken in: The Netherlands

Eligibility

  • Eligible Countries: Applicants from all countries are eligible to apply.
  • Acceptable Course or Subjects: The scholarship will be awarded in Industrial Engineering, Operations Research, Applied Mathematics, Computer Science, Transport Engineering, or closely related disciplines offered by the university.
  • Admissible Criteria: To be eligible, applicants must meet the following criteria:

  • Hold a Master’s degree in Industrial Engineering, Operations Research, Applied Mathematics, Computer Science, Transport Engineering, or a closely related field.

  • Demonstrated interest and/or experience in one or more of the following areas:

    • Optimization (e.g., integer programming, vehicle routing, packing problems, heuristics)

    • Simulation and data-driven modelling

    • Decision support systems

    • Artificial Intelligence (machine learning, reinforcement learning, hybrid AI)

  • Ability to work independently as well as collaboratively within a large multi-partner consortium involving academia, industry, and public stakeholders.

  • Strong communication and interpersonal skills.

  • Excellent command of English (spoken and written). Knowledge of Dutch is an advantage but not required.

  • Preferably, prior exposure to transport and logistics planning, multimodal networks, construction logistics, or applied decision support systems.

Benefits

  • Gross monthly salary ranging from €3,059 (Year 1) to €3,881 (Year 4) (full-time).

  • Holiday allowance (8%) and end-of-year bonus (8.3%).

  • 29 paid holidays per year (full-time).

  • Full employee status under the Dutch Collective Labour Agreement for Universities (CAO-NU), including pension and social security benefits.

  • Access to the Twente Graduate School training and personal development program.

  • Work in an international, interdisciplinary research environment with strong industry and municipal collaboration.

  • Family-friendly policies, including parental leave.

  • Green campus with free sports facilities and excellent research infrastructure.

How to Apply

Interested candidates should apply online before 24 January 2026 and submit the following documents:

  1. Motivation/Cover Letter (maximum 2 pages A4) outlining research interest, background, and motivation.

  2. Curriculum Vitae (CV) (including publications, if any, and references).

  3. Academic transcripts (BSc and MSc, including grades).

  4. Proof of English proficiency (IELTS ? 6.5, TOEFL iBT ? 90, or Cambridge CAE-C/CPE), if applicable.

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