Our mission is to understand and demonstrate the potential of AI to facilitate decision processes and improve outcomes in complex socio-technical situations. Interested in an open or prospective position? See below for more information.
Interested in one of these positions, or another idea for your master's thesis with our lab? See below how to apply.
Data-driven optimisation. With companies like KLM, ORTEC, Picnic, TBA and TNO.
Optimisation
Simulation
Uncertainty
Reinforcement or supervised learning to accelerate combinatorial optimisation solvers.
Optimisation
ABM + RL to study migration, cities, policies and sustainability.
Simulation
Uncertainty
From data to model with the help of human expert.
Optimisation
Dynamic pickup-and-delivery, and other VRP problems with RL.
Optimisation
Uncertainty
Comparing centralised and decentralised approaches.
Optimisation
Simulation
End-to-end optimisation over a function acquired from data.
Optimisation
Uncertainty
Analysing concrete, masonary and bridge designs with ML.
Simulation
Uncertainty
How does the optimisation problem change when considered in the cultural context?
Uncertainty
Optimisation
What information about an ABM to present to the user? How does UX affect scientific enquiry?
Simulation
Distributed optimisation techniques for electricity market coordination.
Uncertainty
Optimisation
The lab reflects a wide body of work by dedicated and passionate students and scholars in the fields of optimisation, machine learning, and modelling and simulation. See below for relevant opportunities across different career stages.
We are not recruiting any postdoc candidates right now. However, we are always open to applying for projects together or supporting external funding opportunities as a host organisation. If you are interested, please email us a CV and a brief description of your interests and how you see us working together.
Currently there are no openings for PhD positions. However, if you are interested, please email us your CV and a description of your interests and fit with our lab. We do not always have funding but we always respond and maintain an archive of candidates who fit in and can potentially expand our vision.
We host TU Delft and Leiden-Delft-Erasmus master students for their thesis (30-45 credits), or extra coursework in the form of a project worth 15 credits. If you are interested in working with us at the STAR Lab, write to us with your CV and a description of your research interests. Please mention how your interests intersect with the work of the lab. You can find specific projects on TU Delft CS projectforum (search for "starlab"), and previous theses on the TU Delft repository (search for "yorke-smith"). TU Delft BSc students looking for a research or honours opportunity are also welcome to contact us.
We cannot usually host undergraduate interns from outside Leiden University, TU Delft, Erasmus Medical Centre or Erasmus University Rotterdam. We can sometimes host master's interns from Europe under limited conditions. We welcome PhD exchanges, especially through networks of which we are part, such as CLAIRE, ELLIS and TAILOR.