PhD in Climate-Resilient Mobility Optimisation

TU Delft; Delft; Presencial; EUR 36.000 - 45.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Relocation assistance

Flexible work schedules

Customisable compensation package

Descripción de la vacante

TU Delft is offering a PhD position within the CLIMACT project to develop advanced modelling and optimisation methods for climate-resilient mobility networks. The research will integrate climate projections, transport network simulation, and behavioural modelling to assess resilience under flooding and heat stress.

Based in the Department of Transport & Planning, the PhD researcher will test methods through case studies and focus on transferability across infrastructure and governance contexts.

Formación

• Master's degree in a relevant field (Applied Mathematics, Operations Research, Computer Science).
• Strong background in climate adaptation, transport networks, and behavioural science valued.
• Ability to work in a team and take leadership of research tasks.
• Excellent communication in English, written and oral.

Responsabilidades

• Develop and test advanced modelling and optimisation methods for resilient mobility networks.
• Integrate climate projections, transport simulation, and behavioural modelling to assess performance.
• Test transferability of adaptation strategies across infrastructure and governance contexts.

Conocimientos

Operations research

Mathematical optimisation

Stochastic modelling

Educación

Master's degree in Applied Mathematics / OR / CS

Descripción del empleo

TU Delft is offering a PhD position within the CLIMACT project to develop advanced modelling and optimisation methods for climate-resilient mobility networks. The research will integrate climate projections, transport network simulation, and behavioural modelling to assess resilience under flooding and heat stress.

Based in the Department of Transport & Planning, the PhD researcher will test methods through case studies and focus on transferability across infrastructure and governance contexts.