Research Associate in Geographical Sciences

Bristol, United Kingdom
£33,199 - £37,345
27 Nov 2018
End of advertisement period
03 Jan 2019
Academic Discipline
Social Sciences, Geography
Contract Type
Full Time

Faculty of Science
Contract type
Open Ended
Working pattern
Full time
£33,199 - £37,345
Closing date for applications

We invite applications from data scientists/quantitative geographers for a 36-month fixed funding (with the possibility of further funding) postdoctoral research associate position to support two research projects in the School of Geographical Sciences.

The ESRC-funded Quantifying Cities for Sustainable Development project aims to develop new methods for generating representative survey data in urban areas at minimal cost. The need for such methods is particularly acute in low- and middle-income countries where data scarcity and rapid demographic change limit the accuracy of traditional data sources and volunteered geographic information. The methods developed will be piloted in a city in Pakistan in collaboration with local partners.

The second project, An Interdisciplinary Approach to Understanding Past, Present and Future Flood Risk in Viet Nam, is jointly funded by the ESRC, NERC, Newton Fund Vietnam and NAFOSTED. This project seeks to improve our ability to estimate flood risk by integrating socioeconomic data derived from high-quality household surveys and remote sensing with state-of-the-art hydrodynamic flood models. A key objective is to establish a reliable method for generating high-resolution social vulnerability data from remotely sensed imagery.

The successful candidate will hold a PhD (or be near completion) in a relevant field and should have extensive experience working in at least one of the following areas:

  • Analysing remotely sensed imagery in open source software, such as Python or R; or
  • Analysing geographical census and survey data in Python or R.

The candidate may also have experience using QGIS in tandem with an open source computational environment. A background in urban analytics or computational social science is desirable, as is a working knowledge of spatial sampling techniques.

The successful candidate will join the world-leading Quantitative Spatial Science (formerly Spatial Modelling) research group at the University of Bristol, the Jean Golding Institute for data science, and benefit from our institutional partnership with the Alan Turing Institute. We strongly encourage international applicants.

For further information please contact Dr Sean Fox:

The closing date for applications will be 23:59 on Thursday 3rd January 2019.

We appreciate and value difference, seeking to attract, develop and retain a diverse mix of talented people that will contribute to the overall success of Bristol and help maintain our position as one of the world’s leading universities.