Jobid=d4e7ced608fd (0.0156)
Overview
Do you want to develop human-centred RL algorithms to shape the liveable cities of tomorrow?
Job description
Human-centred AI techniques, such as Reinforcement Learning from Human Feedback (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.
Responsibilities
The PostDoc will contribute to AI-based recommender systems to guide stakeholders in mobility design, building on RLHF techniques and addressing challenges such as multi-objective optimization, design robustness, and transparency of the recommendation process. The position is embedded in the Sequential Decision Making group and involves collaboration with project partners and related departments.
Qualifications
The candidate should have:
- a PhD degree in Artificial Intelligence (AI) or closely related topics in computer science, mathematics, or physics,
- a thorough understanding of reinforcement learning,
- fluency in English.
The ideal candidate:
- is interested in working in a multi-disciplinary project also involving transport engineering and societal partners,
- is a strong communicator and can work well in a team,
- is self-motivated to do cutting-edge research.
Organization
TU Delft (Delft University of Technology). Delft University of Technology is embedded in a broader faculty context and collaborates with a range of partners in education, research and industry. For more information about the Faculty and its initiatives, see the project context as described in the original vacancy.
Conditions of employment
- Duration of contract is 2 years Temporary
- A job of 36-40 hours per week.
- Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
- An excellent pension scheme via the ABP.
- The possibility to compile an individual employment package every year.
- Discount with health insurers on supplemental packages.
- Flexible working week.
- Every year, 232 leave hours (at 38 hours). You can also sell or buy additional leave hours via the individual choice budget.
- Plenty of opportunities for education, training and courses.
- Partially paid parental leave
- Attention for working healthy and energetically with the vitality program.
Relocation assistance and related support information are available through TU Delft resources; details are provided during the application process.
Additional information
If you would like more information about this vacancy or the selection procedure, please contact Prof. dr. M.T.J. Spaan via
Application procedure
Are you interested in this vacancy? Please apply no later than 21 May 2026 via the application button and upload the following documents:
- CV
- Motivational letter
You can address your application to Prof. dr. M.T.J. Spaan.
Please note:
- You can apply online. We will not process applications sent by email and/or post.
- The recruitment process includes a knowledge security risk assessment; information provided by candidates is used in accordance with GDPR and for the public task in the public interest. Details are available on the TU Delft site.
- Please do not contact us for unsolicited services.
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