Research Associate in Urban Analytics and Modelling

Updated: 4 months ago
Location: Newcastle upon Tyne, ENGLAND
Job Type: FullTime
Deadline: 02 Jul 2023

We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.

The Role
The School of Engineering at Newcastle University are seeking to appoint a research professional to join the Geospatial Data, Analytics and Modelling team working on the development and application of urban analytics and modelling. The post will involve the further development of key computer models that support the Newcastle Urban Integrated Assessment Framework (UIAF); a suite of models that have been extensively utilised in climate impact research, infrastructure systems assessment and urban sustainability studies.

The successful candidate will have experience of academic research and collaborative projects, with expert knowledge of urban analytics and modelling particularly in the use of geospatial data and methods.

You should hold a PhD (or nearing completion) in the field of urban analytics and modelling and/or geospatial data science or a closely related discipline. You should have a strong publication record and experience of presenting at international conferences. Experience of working with industry and government stakeholders and partners is highly desirable.

The Geospatial Data, Analytics and Modelling Group focuses on the use of geospatial data, analytics and modelling to urban and infrastructure systems research and applications; ranging from real-time data analytics through to decadal urban and infrastructure systems planning.

For more information about the School of Engineering, and our research, please click here .

We are committed to building and maintaining a fair and inclusive working environment and we would be happy to discuss arrangements for flexible and/or blended working.

The appointment is fixed-term, tenable for 12 months in the first instance. The position is available on a full-time basis (37 hours per week).

To apply, please complete an online application and upload a CV and cover letter. Your cover letter is a supporting statement, and you should outline how you meet the essential criteria of the role and evidence this with examples.

For informal queries regarding the role or the project, please contact Stuart Barr, Professor of Geospatial Systems Engineering, at: .


  • PhD awarded (or nearing completion) within the area of urban analytics and modelling or a closely related field.


  • Evidence of formal software engineering training/CPD.

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