IFISC offers a new PhD student position, within the CSIC Momentum program, on the development of software solutions for the management and analysis of transportation data. 

This position for a PhD student aims at developing software solutions for managing data coming from different transportation systems, their merging, and their analysis using state-of-the-art techniques. Thanks to the technological advances in the last years, all modern transportation systems are generating large volumes of real-time information about their dynamics. Yet, their complexity results in a compartmentalisation of the associated insights, limited reproducibility, and that real implementations are seldom achieved. 

Given this state of affairs, we propose the development of an open-source software library. Among other functions, it will allow applying unified cleaning and pre-processing algorithms; executing advanced data analyses, inspired in statistical physics' principles, Machine and Deep Learning; and further perform such analyses on multiple transportation modes in an integrated fashion.