About UNSW Sydney
UNSW is one of Australia’s most research-intensive universities which ranks 45th in the 2017 QS World University Rankings and 78th in the 2016-2017 Times Higher Education World University Rankings. The main UNSW campus is located on a 38-hectare site at Kensington, 7 kilometres from the centre of Sydney and 3 kilometres from Coogee beach.
PhD project: Pedestrian network modelling
Required skills: Advanced MATLAB and Python programming, good knowledge of dynamic transportation network models and traffic flow theory
Preferred education background: Transportation engineering, computer science, applied mathematics, or operations research
Scholarship amount: $27,082 per year plus a possible top up and conference travel grant
Duration: 3 years
Closing date: June 2018
This PhD project aims to advance theory of pedestrian traffic flow and develop new mathematical and computational methodologies to model pedestrian networks. While the microscopic and macroscopic dynamics of pedestrian traffic are widely studied, dynamics of pedestrian traffic at the network level are less understood. In this project, the PhD student is expected to develop new techniques to model anisotropic pedestrian movements in a network while accounting for sidewalk crowding, crossing delay, bi-directionality of pedestrian motion and other realistic properties of pedestrian networks. The project requires extensive computer programming and applied mathematics.
Potential applicants are encouraged to send their complete CV and contact information for three references to Dr. Meead Saberi <firstname.lastname@example.org> before the closing date.
I am pleased to announce that we have now moved to UNSW Sydney. We are part of the Research Centre for Integrated Transport Innovation (rCITI) that is based in the School of Civil and Environmental Engineering. We will continue our focus on Melbourne but will also conduct gradually increasing research on Sydney over time. More updates will be shared over the next few weeks.
Dr. Meead Saberi, lecturer in transportation engineering, data guru, and urban scientist