Three (3) PhD Positions in Public Transport Modelling, Delft University of Technology, Netherlands (2016)

Three PhD positions in public transport modelling are available and will participate in two projects: SCRIPTS and TRANS-FORM.

SCRIPTS is a national cooperation between universities and public transport authorities and operators in the Netherlands. The project will develop a novel model system to predict the demand for hybrid public transport systems, involving demand-responsive transport services that are flexible in route and schedule and (self-)organised through ICT platforms and advanced models for the optimal design of such systems and the simulation of their performance.

Position S1 will focus on Network Design Optimisation - modelling the dynamics of the operations of innovative public transport services.

Position S2 will focus on Mobility Forecasting and Evaluation – a multi-modal assignment model for the performance and distribution of a hybrid public transport system encompassing both conventional and emerging services.

TRANS-FORM is a European cooperation between universities, industrial partners, public authorities and private operators, that will develop, implement and test a data-driven decision-making tool that will support smart planning and proactive and adaptive operations. The tool will integrate behavioural modelling, passenger flow forecasting and network state predictions into real-time operations. Travel flows at the hub, urban and regional networks will be analysed in case studies.

Position T1 will focus on Smart Transfers through unravelling urban form and travel flow dynamics using smartcard data and real-time traffic predictions as well as management optimisation.
Requirements
We are looking for highly talented and driven candidates. You have:
• a relevant MSc degree in transportation or a related applied science field.
• an analytical approach to problem solving and eagerness to learn new things.
• a proven background and interest in further developing your modelling, optimisation, simulation and/or programming skills.
• excellent proficiency in English.
• ability to contribute to a stimulating research environment.
• excellent communication skills and ability to cooperate with both scientists and transport professionals.

Special background advantages are: simulation and optimisation (S1, T1), travel behaviour and demand modelling (S2) and data analytics and network modelling (T1). For all positions, knowledge and experience in public transport planning and operations are advantageous.

For more information, please visit:
http://www.academictransfer.com