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Potential PhD supervisors

The following members of IER's academic staff are keen to supervise PhDs in a range of subjects. The research interests of staff are listed to provide an overview of the subjects and techniques they would be interested in supervising at a postgraduate level.

Find out about our current doctoral students here.

Photo of Sally Wright

Dr Sally Wright IER Director of Graduate Studies

Research interests: job quality; working time arrangements; pay equity; executive remuneration; workplace health and safety; restructuring; retirement and superannuation; work-life balance

Research methodology: interlinked quantitative and qualitative methods


Professor Chris Warhurst, IER Director

Research interests: labour market and labour process developments, trends and issues. Interested in supervising doctorate and masters research degrees in job quality, skills and aesthetic labour

Research methodology: interlinked quantitative and qualitative methods


Dr David Owen

Research interests: analysis of labour market and demographic change using large data sets; population change and migration

Research methodology: quantitative methods, statistical analysis and spatial data analysis


Gaby Atfield

Research interests: differential access to the labour market and the relationship between employment and social inclusion/exclusion; work, welfare and public policy, particularly participation of disadvantaged groups in active labour market programmes; education and employment as vehicles for social mobility; Social capital, social networks and integration, especially of migrants.

Research methodology: interlinked quantitative and qualitative methods


Peter Dickinson

Research interests: local labour market skills and their intersection with productivity and inclusive growth

Research methodology: qualitative methods

Beate Baldauf

Research interests: working and volunteering in later life and the impact of the fuller working lives agenda on employment, training and career development; skills development and career progression of apprentices and graduates; health and social care labour markets

Research methodology: qualitative methods


Professor Terence Hogarth

Research interests: the inter-relationship between vocational education and training provision with the labour market, skills mismatches, investments in education and training, technological change and skills demand, effective delivery of apprenticeships, the future of work

Research methodology: interlinked quantitative and qualitative methods


Dr Jeisson Cárdenas-Rubio

Research interests: analysis of big data sources for labour market analysis; development of labour market information for practice and policy; skill shortages identification and labour market forecasting

Research methodology: quantitative methods, big data techniques


Dr Eva Katharina Sarter

Political scientist with expertise in public policies, regulation of labour, and comparative research.

Research interests: focusses on social public procurement and the use of public procurement as a tool for the regulation of labour as well domestically as in global supply chains, equality, and public services.

Research methodology: qualitative methods.


Dr Emily Erickson

Research Interests: migration and migrant labour, job quality, low wage work, equity in the labour market, and community labour partnerships.

Research Methodology: qualitative research


Professor Joe Sakshaug

Research interests: survey methodology, administrative data, non-response, measurement error, missing data, mixed-mode data collection, experimental design, data integration, data confidentiality and ethics, small area estimation, occupation coding, data science, web surveys, surveying sensitive topics, longitudinal studies, digital behavioural data, cross-cultural research, social research methods

Applied interests: labour market research, public opinion, health and wellbeing, education, crime, social policy, social inequalities, COVID-19.

Research methodology: Bayesian methods, causal inference, structural equation modelling, machine learning, multilevel modelling, multiple imputation, record linkage, weighting