Welcome to the Algorithmics group, a section of the Department of Software Technology of the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology.

In the Algorithmics group, we aim to design, and understand fundamental properties of, planning and coordination algorithms for intelligent decision making in real world applications, such as for coordinating electrical loads within network constraints, or logistic processes on a shunting yard or container terminal. Apart from dealing with the inherent scalability challenge in such combinatorial domains, we work on two main research objectives. First, we aim to understand how to build predictive models from data that facilitate effective planning and scheduling algorithms dealing with uncertainty, for example to find robust solutions. Our second research objective is to understand how to effectively incorporate behaviour and preferences of stakeholders in the decision-making process.

To realize these objectives we focus on the following research topics:

  • Model-based reinforcement learning: How to deal with uncertainty in planning?
  • Multi-party optimization: How to account for preferences and possibly strategic behaviour in multi‐actor planning?
  • Constraint reasoning: How to support individual and group scheduling decisions?
  • Meta-heuristics: What are effective general heuristic methods to support decisions taking into account different preferences?

We aim to apply these techniques in sectors such as logistics and transportation, energy, and maintenance. To realise these applications we pay attention to handling large amounts of available data as well as to the development of advanced algorithmic toolboxes based on generic methods and techniques.

Job openings

  • Neil Yorke-Smith has one opening for a PhD position in the Brains for Buildings project. Deadline is 31 March 2021.
  • Mathijs de Weerdt and Matthijs Spaan have two openings for PhD positions in the project: one on smart plant scheduling with Dr. De Weerdt and one on reinforcement learning for a self-driving lab with Dr. Spaan. Deadline is 15 March 2021.
  • Our group holds a number of openings for MSc projects for TU Delft students.
  • If you're among the best students in your class (CS/AI/Maths) and interested in obtaining your PhD by contributing to our mission (see above), please send an email to the professor you'd like to be your promotor indicating your topic/direction of interest.

From start to finish

Video: Research and education opportunities for master students

Research and Education for Master Students


Delft University of Technology - Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS)

Contact us

Visiting Address
Building 28

Room: 320 East 3rd floor
Van Mourik Broekmanweg 6
2628 XE Delft
The Netherlands

Mailing Address
EEMCS, Algorithmics
P.O. Box 5031, 2600 GA Delft
The Netherlands