University of Nottingham – Laboratory of Urban Complexity and Sustainability (LUCAS)
The Laboratory of Urban Complexity and Sustainability (LUCAS), (http://www.nottingham.ac.uk/research/groups/lucas/index.aspx) is seeking to appoint a PhD studentship in Urban Geospatial Data Science, as an important part of a large interdisciplinary Leverhulme Research Programme Grant “Sustaining Urban Habitats”.
The objectives of this programme are to: develop a rigorous and measureable definition of city sustainability, so that we can evaluate how sustainable cities are right now; to develop a new integrated multiscale urban modelling platform so that we can test strategies for improving upon cities’ sustainability in the future; to support cities in defining the policy and governance structures necessary to achieve the transition towards their more sustainable and liveable futures.
This will require the acquisition, integration, transformation and analysis of data from heterogeneous resources and the subsequent enhancement and representation of this data as information that can be used to characterize cities’ sustainability, and to feed directly into our evolving integrated urban modeling platform. No limit is placed on the type and nature of the data; which may be formal (data from National Mapping and other government agencies), informal (crowd sourced data, or transformations of data from open data platforms (e.g. 3D models from Flickr data) or transformation from sensor data).
Working closely with other members (PhD students, Research Fellows and Professors) of the interdisciplinary LUCAS team of social, economic, physical and computer scientists this task, in particular the processing of geospatial data to support urban simulation, will be your focus: helping us to simulate and optimise the sustainability of our future mainly urban society.
Preferred candidates should have, or expect to obtain, a first-class or good 2:1 honours degree and / or a distinction or high merit at MSc level in a relevant subject area (e.g. computer science, geography, geoinformatics, engineering or a cognate discipline). Experience in one or more of the following is essential: Geographical Information Science, 3D modelling, semantic enrichment, remote sensing, database development, scripting.
Good communication skills, and the ability to work as part of a team as well as independently are also essential. A willingness to travel within Europe and to China is desirable.
The studentship will cover PhD tuition fees for UK/EU students, due to funding restrictions, plus a tax free stipend for three years of £14,296 per annum.
Informal enquiries prior to making an application may be addressed to Dr. Doreen Boyd, email: [email protected]
To apply, please email a covering letter stating why you wish to apply for and how you fulfill the requirements of this studentship. Please also provide a full CV, a transcript of your academic record and the names and addresses of two referees (in PDF format) to Clair Morton ([email protected]