We are looking for candidates that are interested in using data science to develop advanced mathematical models that could solve a variety of place-related problems. Some examples include but are not limited to:

  • Predicting areas of deprivation or gentrification
  • Optimisation of capital to improve road maintenance and public satisfaction
  • Modelling people mobility patterns to improve local transport services for pockets of society that may currently be excluded from activities

We are currently running a fellowship programme with a number of local authorities and have several open positions for a 3-month placement.

Click here for all the information you need – these opportunities have a closing date of the 30th November 2019

Data science fellow

Smart car, self-driving mode vehicle with Radar signal system and and wireless communication, Autonomous car