Coventry University Featured PhD Programmes
University of Reading Featured PhD Programmes

Diversity in Computer Science and Engineering - A Data Science Approach

Faculty of Natural Sciences

About the Project

There is increasing concern about a “diversity crisis” in disciplines such as engineering, data science and software development.
This PhD will adopt a data-driven approach to investigating and understanding the continuing diversity crisis. The research will include identifying, surveying and analysing employment and professional institution data. The aim will be to extract meaningful insights to key factors, identify opportunities for better data reporting and recommend improvements for future policies and practice.

The project will provide an opportunity to pursue world-class multidisciplinary research, provide experience of data analytics and an opportunity for substantial contribution to international publication in leading journals/fora proceedings.

Keele University is renowned for its exciting approach to higher education and research, beautiful central England campus, strong community spirit and leading levels on student satisfaction. The University has the UK’s largest campus with 617 acres of landscaped parkland, fields, woodlands and lakes. Keele University runs its own day nursery for infants from 3 months to 5 years and is committed to equality and diversity. Information for prospective postgraduate researchers can be found here:

Research Context: This PhD project will be supervised via an on-going multidisciplinary collaboration between academic researcher including Dr Sandra Woolley, Professor Fiona Polack and Dr Allison Gardner in the Centre for Computer Science Research and Dr Sue Sherman in the School of Psychology, Keele University.

Please go to for information about application.

Applications are welcome all year around.
Informal enquiries about the project are very welcome by email to the Project Lead, Dr Sandra Woolley (). Full applications should be submitted via:

Please quote FNS GS 2020-08 on your application.

Applications are welcomed from science, engineering, mathematics, psychology or sociology graduates with (or anticipating) at least a 2.1 honours degree or equivalent. Applicants should have good numeracy and computing skills and an enthusiasm for research. They should be self-motivated and have the ability to work both independently and as part of a team.

This opportunity is open to UK/EU and overseas students. The collaborative and presentation aspects of the research require good English language and communication skills. Overseas applicants would therefore require an English IELTS (or equivalent) of 6.0 overall with no less than 5.5 in any subtest.

Keele University values diversity, and is committed to ensuring equality of opportunity. In support of these commitments, Keele University particularly welcomes applications from women and from individuals of black and ethnic minority backgrounds for this post. The School of Computing and Mathematics and Keele University have both been awarded Athena Swan awards and Keele University is a member of the Disability Confident scheme. More information is available on these web pages:

Funding Notes

This opportunity for self-funded applicants only
(for example, international students with government or industry sponsorship and UK students with Doctoral Loan funding: View Website).

Please note that self-funded applicants must provide funding for both tuition fees and living expenses for the 3 year duration of the research. There is a future possibility of competitive scholarship awards for outstanding applicants (1st class honours), however, none are currently available.
For information regarding University tuition fees please see: View Website

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here

The information you submit to Keele University will only be used by them or their data partners to deal with your enquiry, according to their privacy notice. For more information on how we use and store your data, please read our privacy statement.

* required field

Your enquiry has been emailed successfully

Search Suggestions

Search Suggestions

Based on your current searches we recommend the following search filters.

FindAPhD. Copyright 2005-2021
All rights reserved.