Postdoctoral Research Associate

Due to technical issues, we are re-advertising the role previously advertised under ref. 207-26. Applicants who have already applied are encouraged to re-submit their applications. We apologise for any inconvenience. As part of the University’s ongoing commitment to redeployment, please note that this vacancy may be withdrawn at any stage of the recruitment process if a suitable redeployee is identified.

City St George’s, University of London is the University of business, practice and the professions and brings together the expertise and excellence of City, University of London and St George’s, University of London into one institution. The combined university is now one of the largest higher education destinations for London students, combining a breadth of disciplines across health, business, policy, law, creativity, communications, science and technology. Our students are at the heart of everything that we do, and we are committed to supporting them to pursue their career and personal ambitions.

Background

We are looking to appoint a Postdoctoral Associate to support the delivery of a UKRI Future Leaders Fellowship research programme investigating the mechanisms underlying cognitive and affective symptoms in Parkinson’s disease.

Responsibilities

The post holder will contribute to multimodal neurophysiological data acquisition, computational analysis, interpretation, publication, and dissemination. They will work closely with the PI, a multidisciplinary team of researchers, a public advisory group and clinicians. They will be encouraged to develop their own career ambitions, including research supervision, during this appointment.

The post will be based predominantly at university's Tooting Campus.

Person Specification

You will have:

• PhD in neuroscience, biomedical engineering, psychology, computational sciences, or related area.
• Strong coding skills (e.g., MATLAB).
• Advanced statistical experience.
• An excellent publication track record.
• Experience of conducting research with clinical populations.
• Strong communication, teamwork, and organisational skills.

Additional Information

Closing date for applications: 17th May 2026 at 11:59pm.

Interviews are scheduled to take place week commencing 1st June 2026.

Further information is available in the job description.