A topological data analysis of big spatio-temporal urban data

This project is an exciting opportunity to undertake a 4-year funded integrated PhD and MSc in Data Analytics and Society. One challenge of working with big spatio-temporal data relates to the extraction of information about the underlying structure from what can be dynamic and often highly dimensional data. Topological Data Analysis has been used within a range of applications to extract structure from data; in particular focusing on underlying structure from within large and complex datasets. This project will explore the applicability of this method within the context of urban data, and with focus on extension around temporally referenced spatial data. This PhD will have significant industrial involvement as CARTO will be working as an external partner throughout the degree programme.
The programme will include an integrated MSc in Data Analytics over the first two years which will provide you with the foundation skills to complete your research project.

This project is available as part of the ESRC-Funded Centre for Data Analytics and Society and the Successful student will be based at the University of Liverpool. All Students who are part of the Doctoral Training Centre will undertake training at all four partner University’s (The University of Leeds, Manchester, Sheffield and Liverpool).

The Centre focuses on:
• Promoting the creation and analysis of new longitudinal and streamed data resources for socio-economic investigations.
• Creating new methods (e.g. scaling up existing methods for real time big data analytics),
• Investigating social processes (e.g. virtualisation of retailing; data-driven decision making and social behaviours)
• Facilitating interventions (e.g. resource targeting, network planning, social media apps for diet, travel, lifestyle planning).

All projects have been developed in conjunction with external organisations and can be seen here - datacdt.org/projects/
Visit datacdt.org/industry-partners/ for a list of our industrial partners.

For more information about the programme, curriculum, partners involved and the eligibility criteria please visit datacdt.org/ or email [Email Address Removed]

For enquiries please contact Prof Alex Singleton [Email Address Removed] or [Email Address Removed]