Quantitative Research Fellow, Digital Work Transformation

Leeds; Leeds; On-site; GBP 42,000 - 64,000; Full time

Job summary

The University of Leeds is seeking a Quantitative Research Fellow to work on the Digital Practices at Work Survey (DPAW) and linked national datasets. You will apply advanced quantitative methods and contribute to high-quality publications in a collaborative academic setting.

Based in Leeds, the role will involve international collaboration, data linkage work and dissemination activities, with travel as required to meetings and conferences.

Qualifications

• PhD in Human Resource Management, Employment Relations, Sociology of Work and Employment, Labour Economics or related disciplines.
• Demonstrable evidence of high-level research methods training and advanced quantitative research skills.
• Evidence of published work and knowledge of digital transformation of work literature.

Responsibilities

• Analyse DPAW and link it with large-scale nationally representative datasets (e.g., Understanding Society).
• Collaborate with Digit co-Directors and research team to define and shape project focus.
• Publish high-quality research and contribute to ongoing research on AI, skills and work well-being.
• Travel nationally and internationally for meetings, dissemination and engagement activities.

Job description

The University of Leeds is seeking a Quantitative Research Fellow to work on the Digital Practices at Work Survey (DPAW) and linked national datasets. You will apply advanced quantitative methods and contribute to high-quality publications in a collaborative academic setting.

Based in Leeds, the role will involve international collaboration, data linkage work and dissemination activities, with travel as required to meetings and conferences.