Research assistant

The research focus is on:

• Collecting and performing basic structural analysis of ultralow field MRI (ULF MRI) data for an Alzheimer's Research UK (ARUK) funded study aimed at evaluating the clinical viability of ULF MRI data for dementia diagnosis.
• Analysing questionnaire data collected from patients scanned on both high field and ultralow field scanners at CISC, to evaluate the level of clinical readiness and patient experience on the newly introduced ultralow field MRI scanner.

• Participate in planning, designing, and conducting the scanning experiments.
• Liaise with clinicians and staff at the Sussex Partnership Foundation Trust (SPFT) for enabling and promoting patient recruitment.
• Liaise with the partner organization in the project (Kent and Medway Medical School) for coordination of scanning protocols and centralized data collection.
• Liaise with the neuroradiologists in charge of clinical evaluation of the ensuing imaging data.

Participating in conferences and other research dissemination events.

The candidate should have excellent time management capabilities and communication skills. Experience working with imaging data, and in particular with ultralow field MRI data is highly desirable. Basic background in MR physics and neuroscience is desirable. Good knowledge of Matlab or Python is a strong advantage. Ability to collaborate with others is a must.

The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex.

This role involves regular contact with children or vulnerable adults, or positions of trust in legal, financial, and security sectors and therefore will require the successful candidate to complete a DBS (Disclosure and Barring Service) check.

£34,610 to £38,784. Grade 6, per annum, pro rata if part time