Four year funded PhD Studentship at the Horizon Centre for Doctoral Training (Partner: Experian) (SCI1927)

Qualification: PhD
Location: Nottingham
Funding for: UK students, EU Students
Funding amount: Enhanced stipend of £17,200, and all fees paid for Home/EU
Hours: Full time
Closes: 2nd  March 2020 

We are recruiting a PhD student to carry out research in partnership with Experian with a focus on data science. Candidates are expected to have a background in Computer science, Statistics, Physics, Social science, Mathematics, Applied Mathematics or Economics. Candidates with backgrounds in other STEM subjects will also be considered if they can demonstrate capabilities in data analytics.

Our EPSRC funded Creating Our Lives in Data programme, aims to establish technologies and methods to enable producers and consumers in the Digital Economy to co-create smarter products in smarter ways, to re-establish trust in the use of personal data. 

The Centre brings together leading figures from computing and engineering as well as social sciences, business and humanities from the University of Nottingham; plus researchers from the Centre for Computing and Social Responsibility at De Montfort University. We are co-funded by EPSRC and over 40 industry, third sector and international partners.

Our students are innovating applications across sectors including consumer goods and food, creative industries, transport, high value products, and health and wellbeing – seeking out new synergies between them. We do not expect every student to be an expert in every area: our aim is to train people to work in transdisciplinary teams, ready to become future leaders in industry, the third sector and academia.

Our innovative four year PhD programme combines research, technical and professional skills training, an internship with a partner organisation, and opportunities for international exchanges. 

Potential themes/approaches suggested by Experian:

Co-creating/sharing data to enable better/fairer/faster decisionsOpen banking – what does this mean for consumers, how will it drive knowledge about the data, and how will it result in better/cheaper experiences in a responsible way?Machine learning/AI to increase the speed and accuracy of data analysisDiscover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better productsApplying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Such as:automate scorecards process using machine learning techniquesbuild recommendation systems improve and extend the features used by our existing modelsdevelop internal testing proceduresbuild system for automated fraud detection, etc.Selecting features, building and optimizing classifiers using machine learning techniquesData mining using state-of-the-art methodsExtending company’s data with third party sources of information when neededEnhancing data collection procedures to include information that is relevant for building analytic systemsProcessing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear mannerCreating automated anomaly detection systems and constant tracking of its performance

See: https://cdt.horizon.ac.uk  for further details about our programme and how to apply.

Closing date: 2nd March 2020.

Academic interviews: 1st/2nd April 2020.

 

Closing Date: 02 Mar 2020
Category: Studentships