Predicting Spatial Patterns of Urban Growth in African Cities (Ref 17/21)

Company: Satellite Applications Catapult, Applied Digital Intelligence Team

Location: Harwell, Oxford

Background: The population of Africa is predicted to double over the next 40 years, driving exceptionally high urban expansion rates that will induce significant socio-economic, environmental and health changes. The ability of African cities to cope with these numbers is questionable since they generally lack the institutional and infrastructural capacity to absorb the additional urban dwellers. In order to prepare for these changes, it is important to better understand urban growth dynamics in Africa and better predict the spatial pattern of rural-urban conversions.

Project Description: The role of the intern will be to research and implement a method for urban sprawl prediction based on a variety of geospatial data sources, including but not limited to Earth observation data. Considered approaches may include machine learning and/or statistical modelling.

Student Specification: Applicants will need to be numerate, have computing skill, be able to critically evaluate problems, suggest solutions and show initiative in a supervised R&D project.

  • Statistical modelling
  • Machine learning
  • IDL/R/Python scripting advantageous
  • Some knowledge of GIS & Remote Sensing
  • Enthusiasm for the technology and the space industry as a whole
  • Aptitude for open and collaborative working
  • Able to temporarily re-locate or commute to Harwell area
  • Numerically and computationally competent

Target courses: Mathematics, Computer science, Physics, Remote Sensing or similar.

The Nitty Gritty: 8 weeks fixed-term contract to be agreed with successful candidate but nominally with a start date around 26 June which is also the SPIN Induction day at Harwell. Salary is £1,500 per calendar month. (guide only)

Closing Date for Applications: This role is now closed.

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