Research degree fees and scholarships
Postgraduate research tuition fees
Home/EU students: The tuition fee you pay in your first year will increase (in line with inflation) for each subsequent year of study. Tuition fees for part-time degrees are usually charged at half of the rate of full-time degrees across twice the number of years (subject to an increase in subsequent years in line with inflation).
Overseas students: The tuition fee you pay in your first year will be the same for each subsequent year of study. Tuition fees for part-time degrees are usually charged at half of the rate of full-time degrees across twice the number of years
Funding your study
Find out more about tuition fees, fee status and funding options here.
Find out more about continuation/submission/re-submission fees here.
Postgraduate Research Scholarships
Funding the World's Brightest PhDs - Scholarships to support PhD Study at the University of Sheffield.
Algorithmic bias: patterns, consequences and alternatives
Funded PhD studentship in algorithmic bias
Data-driven technologies are transforming society, as governments, businesses and other sectors are increasingly adopting automated and algorithmic systems in the search for greater efficiency in the delivery of their services. Among these actors government departments, often resource-poor and in need of effective, streamlined, automated systems, are increasingly turning to digital technologies. But data-driven and algorithmic systems are far from straightforward. As a number of researchers have noted, they can discriminate in opaque ways through bias written into the systems, which can be intentional or unintentional. This is something that government departments providing support and services to the most vulnerable in society wish to avoid, but how to do so is in need of investigation. Similarly, more knowledge is needed about the expectations of citizens and related questions of ethics and trust. Using a combination of methods, this PhD project involves working closely with one such government department to explore algorithmic bias, its risks and consequences, alternative approaches, communicating about algorithmic processes with service users, and integrating alternative, or ‘fairer’, processes into existing workflows. The partner on this PhD project is the Department for Work and Pensions (DWP), which is responsible for welfare, pensions and child maintenance policy.
This is a 4-year PhD which incorporates an MSc in Data Analytics. It is funded by the ESRC Data Analytics and Society Centre for Doctoral Training (https://datacdt.org/). It offers an excellent opportunity to develop research methods, data analysis and critical thinking skills while carrying out research with real-world applications. The precise details of the PhD will be agreed with the successful applicant and DWP upon commencement of the project.
The deadline for applications is 8th July 2018. Interviews will take place in the week of 16th July. To apply, visit: https://datacdt.org/entry-criteria-applying/.
Due to funder eligibility restrictions, we can only consider home/UK applicants for a full scholarship, and EU applicants for a fees only scholarship. International applicants cannot be considered.
We offer an outstanding academic environment for our PhD students. We provide an interdisciplinary research experience and advanced training to all our PhD students, regardless of scholarship funding source, through our Social Sciences Doctoral Training programme. There are further training opportunities within the ESRC White Rose Doctoral Training Partnership.
There are also opportunities for three-month internships with public, private and voluntary organisations which enable students to apply their research skills to a more practical environment. Previous students have benefited from internships at organisations such as the Department of Work and Pensions and Oxfam.