Fully-funded Lord Kelvin and Adam Smith PhD Studentship available for building a new generation of traffic models using heterogeneous big data (Transport Network Analytics)

Applications are invited for a fully funded PhD position (home and international fees) for interdisciplinary work on a new generation of traffic models using heterogeneous big data.

The project will be based in the School of Engineering and joinly supervised by Konstantinos Ampountolas (Engineering), Vonu Thakuriah (Urban Studies), Ludger Evers (Statistics) and Jinhyun Hong (Urban Studies).

Please follow this link for more details.