We are seeking a talented and highly motivated researcher to work on the Propensity to Cycle Tool (PCT) project, funded by the Department for Transport (DfT).
This research has very high impact and provides a unique opportunity for you to see your work deployed on a national scale. The tool will ultimately be used to decide how millions of pounds of investment is spent effectively for a more sustainable and healthy transport future. It could help plan for a transition away from fossil fuels.
The PCT is the result of close collaborative working between 4 eminent researchers in the area of sustainable urban transport: James Woodcock, Rachel Aldred, Anna Goodman and Robin Lovelace. It has the potential to scale internationally, so a vision to extend the software and methods for use in other contexts, e.g. at the European Union level, will be advantageous.
You will have a PhD (or have equivalent programming experience in industry or the public sector or be close to obtaining a PhD) in Computer Science or a related discipline such Engineering, Mathematics or quantitative Transport Studies or Geography. Programming and data analysis skills, particularly in R, are highly desirable.