PostDoc position on Reinforcement Learning from Human Feedback applied to Mobility System Design

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Matthijs Spaan

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Dec 22, 2025, 2:05:43 PM12/22/25
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Dear all,

TU Delft is offering a 2-year PostDoc position on Reinforcement Learning from Human Feedback (RLHF) in the context of mobility system design.

Human-centred AI techniques, such as RLHF, hold great potential for supporting design methodologies in urban planning. This PostDoc position focuses on AI-based recommender systems to guide stakeholders in choosing a mobility system design. Specifically, the research builds on RLHF techniques, considering algorithmic challenges such as multiple objectives, the robustness of designs and the transparency of the design recommendation process.

The position is offered in the context of the Mobility DesAIgn Lab, a project that investigates how digital twins can be used responsibly for design issues in the field of mobility, transport and logistics in cities. The PostDoc will be embedded in the Sequential Decision Making group within TU Delft’s Intelligent Systems department, with close collaborations with project partners TNO and TU Delft’s Transport & Planning department.
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