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TU Delft

Postdoc Reinforcement Learning from Human Feedback applied to Mobility System Design

TU Delft Delft
36 - 40 uur
PhD
nieuw
Status Open
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Wat wij vragen

Opleiding
a PhD degree in Artificial Intelligence (AI) or closely related topics in computer science, mathematics, or physics
Ervaring
a thorough understanding of reinforcement learning fluency in English 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
Talen
  • Je beheerst Engels

Wat wij bieden

Uren
36 tot 40 uur per week
Dienstverband
fulltime
Type vacature
intern

Vacaturebeschrijving

Postdoc Reinforcement Learning from Human Feedback applied to Mobility System Design

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.

Job requirements

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.

TU Delft (Delft University of Technology)

Delft University of Technology is built on strong foundations. As creators of the world?'famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem?'solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty of Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future?'proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment - which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground?'breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, , offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A is available, to support your accompanying partner with their job search in the Netherlands.

Additional information

Application procedure

30 January 2026

  • CV
  • Motivational letter
Please note:
  • knowledge security.
  • Please do not contact us for unsolicited services.
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