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.
- 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.
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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.
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Research Fellow in Cognitive Assessment Using Multimodal Physiological Measures in Guildford employer: University of Surrey
The University of Surrey is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the IT Services team. With a strong commitment to employee development, you will have access to numerous growth opportunities while contributing to impactful digital transformation projects in a vibrant academic setting. Enjoy the benefits of a hybrid working model, competitive remuneration, and a culture that values diversity and inclusion.