Future Skills Research Fellow - Quantitative in Kingston upon Thames

Future Skills Research Fellow - Quantitative in Kingston upon Thames

Kingston upon Thames Full-Time 45025 - 48820 £ / year (est.) No working from home possible
Institute for Modern

At a Glance

  • Tasks: Conduct impactful research on Future Skills and evaluate their effect on student success.
  • Company: Kingston University London, a leader in Future Skills education.
  • Benefits: Competitive salary, full-time role, and opportunities for professional growth.
  • Other info: Collaborate with multidisciplinary teams and engage with industry and policymakers.
  • Why this job: Join a dynamic team and contribute to meaningful educational research.
  • Qualifications: PhD or equivalent experience in relevant fields with strong quantitative skills.

The predicted salary is between 45025 - 48820 £ per year.

Grade 8: £45,025 - £48,820, full-time, fixed-term (4 years). Kingston University London is a national leader in Future Skills education, embedding skills such as problem-solving, digital competency and collaboration across every undergraduate degree. Supported by funding from The Mohn Westlake Foundation, we are seeking a talented Research Fellow with strong quantitative and psychometric expertise to join our Future Skills Research programme.

Working within Kingston University's Behaviour, Business and Policy Knowledge Exchange and Research Institute (KERI), you will play a key role in delivering a major multi-year research programme evaluating the impact of Future Skills on student success, graduate outcomes and employability. You will design and deliver quantitative and psychometric research, analyse complex datasets, and apply advanced statistical methods to evaluate educational interventions and graduate outcomes. The role includes longitudinal research, analysis of student and alumni data, contribution to mixed-methods evaluation, dissemination of findings through publications and conferences, and support for external funding applications.

You will hold a PhD (or equivalent research experience) in psychology, social sciences, statistics or a related discipline, with substantial expertise in quantitative research methods. You will have experience managing and analysing complex datasets using statistical software such as R or SPSS, and a track record of disseminating research findings through publications and presentations.

You will be an excellent communicator, capable of providing methodological guidance to colleagues and working collaboratively across multidisciplinary teams. Experience in psychometric scale development, higher education research, graduate employability, or educational evaluation would be advantageous.

This role sits within the Behaviour, Business and Policy KERI, one of Kingston University's four Knowledge Exchange and Research Institutes. The Institute brings together researchers, industry and policymakers to address major societal challenges through evidence-based research.

Closing date 4th September 2026.

Informal enquiries: Professor Debra Gray; Debra.gray@kingston.ac.uk.

Future Skills Research Fellow - Quantitative in Kingston upon Thames employer: Institute for Modern

The University of Oxford offers an exceptional work environment for the Postdoctoral Research Associate in Mathematical Modelling of Osteoarthritis, fostering a culture of innovation and collaboration within the prestigious Mathematical Institute. Employees benefit from access to cutting-edge research facilities, opportunities for professional development, and a commitment to diversity and inclusion, as evidenced by our Athena SWAN Silver Award. Located in the historic city of Oxford, this role not only provides a chance to contribute to impactful research but also to engage with a vibrant academic community.

Institute for Modern

Contact Details:

Institute for Modern Recruitment Team

We think you need these skills to ace Future Skills Research Fellow - Quantitative in Kingston upon Thames

Quantitative Research Methods
Psychometric Expertise
Statistical Analysis
Complex Dataset Management
Statistical Software (R, SPSS)
Longitudinal Research
Mixed-Methods Evaluation