PhD in (Business) Economics

The ORSTAT research group, Faculty of Economics and Business, KU Leuven (Belgium) has a vacancy for a PhD student position in Data Science./nWe are looking for a full-time PhD student to do research on the use of statistical and machine learning methods for analyzing and forecasting traffic safety outcomes, under the supervision of prof. Filip Van den Bossche and prof. Christophe Croux./nThe PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic safety./nThe candidate will investigate and further develop statistical and machine learning methods for modelling and forecasting traffic safety outcomes, and contribute to data collection initiatives in function of advanced data analysis in the broad field of road safety research (with focus on, among others, regions, road types, road user categories and their interactions, assessment of road safety interventions and risk contributing factors…)./nResults of the research will be communicated in top-level publications, and through presentations at international conferences and, where applicable, for relevant policy makers./nAlthough the focus is on research, the candidate can be asked to give guidance to Bachelor’s and Master’s students, to be involved in teaching and to supervise and correct exams.