Full Time , Permanent
The closing date for applications is 23.59 on 17th July 2026
Interviews will be held: To be confirmed - The interview will include a presentation during the interview slot
Due to the complexity of the Skilled Worker Visa route and eligibility criteria, applicants requiring sponsorship are recommended to check their eligibility on the Home Office website. We cannot provide advice to candidates at the application stage and will only discuss visa routes with candidates
The Centre for Integrative Neuroscience and Neurodynamics (CINN), as part of the School of Psychology and Clinical Language Sciences, is seeking to appoint a full-time, permanent Computational Technical Expert to lead CINN’s neurocomputational research activities. This position is based within CINN (https://research.reading.ac.uk/cinn/), a multidisciplinary human neuroscience research centre, and is aimed at a skilled research technical expert with strong computational expertise and solid experience in advanced MRI analysis. The role involves providing specialist technical support, developing and maintaining computational infrastructure, data analysis pipelines primarily for MRI, supporting users, and facilitating high-quality neuroscience research across CINN.
CINN is one of the University of Reading’s Interdisciplinary Research Centres (https://research.reading.ac.uk/cinn/), advancing our understanding of the brain, cognition, and behaviour across the lifespan. Facilities in CINN (https://research.reading.ac.uk/cinn/facilities/) include an MRI Unit with a 3T Siemens Prisma-fit MRI scanner; a high-density EEG laboratory with multimodal EEG-fMRI capabilities; MRI-compatible TMS; tDCS; a portable fNIRS system, a wet-lab for the storage and analysis of biological samples (e.g. immunoassaying); a physiology lab with a Siemens ultrasound machine and physical activity monitoring; and priority access to the Reading high performance computing cluster for advanced computing, including for large scale secondary data analysis and intensive simulation work.
The successful candidate will have proven experience working with MRI data processing workflows, with a strong track record of implementing, optimising and maintaining reproducible analysis pipelines, contributing to the advancement of the Centre’s neuroimaging and computational capabilities. They will act as a key interface between research and academic staff, students, and facility users, ensuring the smooth, efficient, and reliable operation of the Centre’s specialised imaging and computational resources.
For more information, please contact:
Contact Name: Dr Shan Shen
Contact Job Title: Technical Director of CINN
Alternative Contact Name: Professor Carien van Reekum
Alternative Contact Job Title: Academic Director of CINN
The University is committed to having a diverse and inclusive workforce, supports the gender equality Athena SWAN Charter and the Race Equality Charter, and champions LGBT+ equality. We are a Disability Confident Employer (Level 2). Applications for job-share, part-time and flexible working arrangements are welcomed and will be considered in line with business needs.
