Overview
The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference. The role This post will investigate how cognitive performance can be predicted using multimodal physiological measures and modified through non-invasive brain stimulation. Working with Professors Roi Cohen Kadosh and Mark Cropley and Dr Roman Bauer, the Research Fellow will support the design and delivery of human studies, participant recruitment and data collection, ethics applications, analysis of behavioural and physiological data, and preparation of p
Complete fellowship details
Opportunity Details
The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.
We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.
Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.
The role
This post will investigate how cognitive performance can be predicted using multimodal physiological measures and modified through non-invasive brain stimulation. Working with Professors Roi Cohen Kadosh and Mark Cropley and Dr Roman Bauer, the Research Fellow will support the design and delivery of human studies, participant recruitment and data collection, ethics applications, analysis of behavioural and physiological data, and preparation of publications and project outputs. They will also assist with the day-to-day supervision and training of junior research staff and students involved in the project.
About you
We are looking for someone with:
- A PhD, or a PhD nearing completion at the time of appointment, or equivalent research experience, in cognitive neuroscience, experimental psychology, computational neuroscience, or a closely related discipline.
- Strong experience in the acquisition, preprocessing and analysis of EEG data, including spectral and aperiodic EEG measures.
- Strong experience integrating EEG with non-invasive electrical brain stimulation, particularly tRNS.
- Strong experience investigating individual differences in learning and cognition
- Experience applying machine-learning, predictive-modelling or multivariate methods to behavioural and/or EEG data.
- Proficiency in R, MATLAB and Python.
What we can offer
In return we offer a generous pension, relocation assistance where appropriate, flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery.
How to apply
To apply please upload your CV to our website. You will also be asked some questions to help us understand your suitability for the position. Please make sure you answer these questions in detail rather than referring to your CV or any other documents.
The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.
Closing Date: 16 Sep 2026
Area: Research & Teaching
Salary: £37,694 to £46,049 per annum Fixed Term (- Aug 2028)
Tips for this fellowship
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Check eligibility, funding coverage, study/project level and every required document before investing time in the application.
- Prepare transcripts, references, language tests, proposal/motivation statement and proof documents early.
- Separate the scholarship deadline from any university/program admission deadline; they may be different.
- Treat “fully funded” as a source fact only when the official provider explicitly confirms the covered costs.
Verification notes
Discovered from a configured public RSS/Atom feed. Feed-provided descriptive content was normalized safely; incomplete or aggregator-only records remain review-controlled until the official page is verified.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
University of Surrey — School of Computer Science and Electronic Engineering / Centre for Vision, Speech and Signal Processing Opportunities ↗