Kingston University
Just Landed
2 days ago
Future Skills Research Fellow (Quantitative) – Psychology, Social Sciences, Statistics Kingston University in United Kingdom
Degree Level
Postdoc
Field of study
Education
Funding
Full funding availableDeadline
Sep 4, 2026
Country
United Kingdom
University
Kingston University

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
Kingston University London is recruiting a Future Skills Research Fellow (Quantitative) within the Faculty of Business and Social Sciences, based at the Penrhyn Road campus in London, United Kingdom.
This is a full-time, fixed-term research post for four years, funded by The Mohn Westlake Foundation, with a starting salary of £45,025 per annum and a salary range up to £48,820. There is also a possibility of extension to a fifth year depending on funding.
The role sits in Kingston University’s Future Skills Research programme, which focuses on embedding and evaluating skills such as problem-solving, digital competency, and collaboration across undergraduate education. The successful candidate will bring strong quantitative, statistical, and psychometric expertise to support longitudinal tracking, dataset analysis, scale development and validation, multilevel and longitudinal modelling, and evaluation of student and graduate outcomes.
Key research themes include psychology, statistics, education evaluation, graduate employability, student outcomes, and social science research. The post involves analysing alumni, employer, and engagement datasets; assessing long-term skills use and career advancement; contributing to mixed-methods evaluation; preparing journal articles, conference presentations, policy briefs, and white papers; and supporting future research funding applications.
Essential requirements include a PhD in psychology, social sciences, statistics, or a related discipline (or equivalent research experience), experience with quantitative research design and statistical software such as SPSS or R, publication and presentation experience, and the ability to guide others on data collection and analysis. Desirable experience includes research on student outcomes, graduate employability, skills development, education evaluation, and psychometric scale development.
The closing date is 4 September 2026. Interviews are expected on 21 September 2026. Applications should be submitted via the university’s Apply Now link on the vacancy page. For accessibility-related alternative formats, contact [email protected] or the HR Shared Services team. Informal enquiries may be directed to Professor Debra Gray.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
Ask ApplyKite AI

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.