PhD Position on Reinforcement Learning for Sustainable Logistics

The Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS) has a PhD position on reinforcement learning for sustainable logistics at Delft University of Technology in the Netherlands.

This PhD position focuses on algorithmic design to support online decision-making.  The candidate will develop data-driven reinforcement learning approaches to match transport loads and resources in multi-modal supply chains.

The platform economy is on the rise, exemplified by popular booking platforms in the airline and hospitality industries.  These platforms favor synchronization and matching between supply and demand, thereby offering better capacity utilization.  Similarly, freight transport services could be matched to transport requests, consequently enhancing the sustainability, agility, and resilience of supply chains.

TU Delft performs world-leading research in transport and logistics and in reinforcement learning.  The successful applicant will join the STAR Lab at the Faculty of Engineering, Mathematics, and Computer Science.

This PhD research is part of the project “It’s a cargo match!” funded by the Dutch Research Council (NWO).  The candidate will work with industrial partners in the logistics sector, with researchers at the Faculty of Technology, Policy, and Management of TU Delft, and with researchers at the Faculty of Behavioral Management and Social Sciences of the University of Twente.  There is the opportunity for regular visits to Twente.

Duration: 4 years.

Starting Date: October 1, 2024.


  • Gross salary ranging  from € 2770 to € 3539 per month,
  • The TU Delft offers a customizable compensation package,
  • discounts on health insurance, and
  • a monthly work-cost contribution.
  • Flexible work schedules can be arranged.

Job Requirements

To be eligible for the PhD Position on Reinforcement Learning for Sustainable Logistics, candidates:

  • hold a masters degree in a quantitative subject such as machine learning, industrial engineering, operational research, computer science, mathematics, economics, or behavioural science.
  • are able to work independently and also as part of an inter-disciplinary team.
  • have experience in at least one of reinforcement learning, optimization, and/or agent-based simulation.
  • are able to communicate with diverse stakeholders, including industrial partners.
  • are excited to collaborate with researchers in management and social sciences.
  • have solid software development skills in Python.
  • have fluency in written and spoken English.
  • Command of the Dutch language is helpful but not required.
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Application Process

Applications in one pdf should include:

  • A detailed CV;
  • a short letter of motivation stating your personal research/academic/development interests (maximum 1 page);
  • contact information of two persons who can provide references, a publication list;
  • a 300-word abstract of the MSc and two selected publications (if any).

To apply for the PhD Position on Reinforcement Learning for Sustainable Logisticsclick here.

Deadline: January 28, 2024.

For more information on the PhD Position on Reinforcement Learning for Sustainable Logistics, visit the official site.