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KESS2 Scholarship: Big Data Analytics for predicting talent trends and demand


Research & Innovation Services

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Dr P Holborn No more applications being accepted Funded PhD Project (European/UK Students Only)

About the Project

This is a funded PhD, including a generous stipend and tuition fees, with well-resourced circumstances for a successful scholarship.
Here is an exciting opportunity to study the development of complex predictive models which could lead to entirely new approaches in Big Data Analytics.

Talent Intuition helps companies make better informed strategic decisions. They offer a combination of tools for sourcing external talent data as well as bespoke people intelligence consultancy. This research aims to exploit the external talent data to help inform on how businesses should shape strategy, reduce risk and gain a competitive edge. It will look to utilise the latest advanced technologies to manipulate millions of data points and thousands of sources to help better understand talent supply and demand both nationally and internationally.

The main work of the PhD will be to develop a predictive model to understand the talent pipeline. The work will determine the best way to extract and then classify features obtained from the data such as gender, ethnicity and age; and support the implementation of such algorithms into a real-time system.
The algorithms developed during the project will provide a starting point for future research capacity into the direction of Machine Learning and Neural Network Analysis to better understand the Talent market.

Application Process:
To download an application package, please visit: specific funded studentships: https://gradschool.southwales.ac.uk/thinking-applying/specific-funded-studentships/

For any queries on eligibility, please contact: KESS Team at Research and Innovation Services, University of South Wales: [Email Address Removed] Tel: 01443 482578

For informal enquiries or further programme information, please contact: Dr Penny Holborn ([Email Address Removed]).

Closing date for applications: midnight Sunday 10th May 2020
Interviews will be held w/c (TBC)


Funding Notes

The studentship will cover the fees for a full-time PhD programme and pay a stipend of circa £14k p.a. There is also around £9k project support costs available for consumables, travel, minor equipment, training (including the KESS Grad School) and conference attendance.

The position is available from 1st July 2020.



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