The overall aim of the MiRRORS project is to develop a new innovative multi-scale framework for traffic demand and supply estimation and prediction for large road traffic networks using both offline and real-time access to huge amounts of data. The innovation lies in three things. First, we develop hybrid approaches where we combine pattern recognition and classification approaches with state-of-the-art traffic flow models. Second, we develop integrated multi-scale solutions, in which traffic information we estimate on one scale level is used to support and strengthen estimation and prediction on other levels. Third, we develop a distributed approach that is robust and scalable for large-scale road networks

Your tasks are: (1) doing cutting edge research into urban traffic estimation and prediction; (2) supporting the development of the data ecosystem. 

If you have a M.Sc. degree in Civil Engineering, Traffic Engineering, Transportation Planning, Econometrics or Mathematics from a well-known university, excellent study results, experience in traffic modelling, design or simulation and are interested to join our team for a period of 2 to 4 years, do not hesitate to contact Simon Goede by email. Please enclose your c.v.