PhD: Climate-Resilient Mobility Modelling

Delft University of Technology (TU Delft); Delft; Presencial; EUR 29.000 - 35.000; Tempo integral

Resumo da vaga

Delft University of Technology seeks a PhD researcher to develop advanced modelling and optimisation methods that improve the resilience of public transport and urban mobility networks under climate risks, such as flooding and heatwaves.

You will integrate climate projections, transport network simulation, and behavioural modelling to assess how infrastructure, operations, and travellers respond, and you will build robust decision-support strategies.

Qualificações

• Master's degree in a relevant field such as Applied Mathematics, Operations Research, or Computer Science.
• Familiarities with climate adaptation, transport networks, and behavioural science are highly valued.
• Strong programming skills.
• Ability to work both in a project team and independently with leadership and responsibility for research tasks.
• Willingness to communicate with scientific partners, companies and cities.
• Excellent English communication skills; TOEFL/IELTS proof if applicable.
• TU Delft Department of Transport & Planning coordinates this project.

Responsabilidades

• Develop advanced modelling and optimization methods to improve resilience of public transport and urban mobility networks under climate risks.
• Integrate climate projections, transport network simulation, and behavioural modelling.
• Develop optimisation-based decision support methods to identify limits of adaptation measures.
• Test methods through case studies across infrastructure, operations, and governance contexts.
• Collaborate with project partners and stakeholders to disseminate findings.

Conhecimentos

Operations research

Mathematical optimisation

Stochastic modelling

Simulation

Machine learning

Transport demand modelling

Formação

Master's degree in Applied Mathematics

Master's degree in Operations Research

Master's degree in Computer Science or related topics

Descrição da vaga

Delft University of Technology seeks a PhD researcher to develop advanced modelling and optimisation methods that improve the resilience of public transport and urban mobility networks under climate risks, such as flooding and heatwaves.

You will integrate climate projections, transport network simulation, and behavioural modelling to assess how infrastructure, operations, and travellers respond, and you will build robust decision-support strategies.