University of Liverpool projects 2022

The following projects are now available to apply to at the University of Liverpool:

LV61 Understanding Population Dynamics for Health and Safety Risk Assessment with the Health and Safety Executive

LV62 Detecting Population and Built Environment Change from Space and their Impacts on Buried Utility Assets with MGISS

LV63 A Digital Twin of Resilient Future Retail Centres for Post Pandemic Social and Economic Recovery with Liverpool City region combined authority

LV64 A Digital Twin of Future Inclusive and Decarbonised Public Transportation Services with Liverpool City region combined authority

Please see https://datacdt.org/entry-criteria-applying/ for details of eligibility and how to apply

Deadline 1st April 2022

Projects now available at the University of Liverpool: Application deadline 7th April

Five new CDAS projects are now open for applications for the third cohort of students based at the University of Liverpool. We will also be advertising projects at the Universities of Leeds, Manchester and Sheffield shortly.

The projects are all partnered with an external organisation giving you the opportunity to work closely with industry. Opportunities range from using police data to understand violence, to working with Engineering consultants on using artificial intelligence to improve traffic safety.

We are looking for graduates from a wide range of backgrounds with interests in how data can be used to address social science questions using statistical or predictive techniques. You will work with a multi-disciplinary team of supervisors as well as having the opportunity to work with external partners on real life problems.

The programme is an integrated one (+4), where you will undertake an MSc in Data Analytics over the first two years which will provide you with the foundation skills to complete your research project.

Details for all available projects can be found on our available projects page

Liverpool projects:

Counting People

Human Dynamics within an Urban and Regional Context

Improving the Geolocation of Emergency Service Response through Big Data

Using big data to design resilient coastal cities

The Geodemographics of British Streets

 

Please contact us with any questions