Electrophysiologist

The University of Edinburgh; City of Edinburgh; Hybrid; GBP 34,000 - 40,000; Full time

Job summary

A leading institution of higher education in Edinburgh is looking for a full-time role focused on developing an EEG database and prototype to enhance early diagnosis of epilepsy in children through advanced signal analysis. The role offers a competitive salary and various benefits. Successful candidates will have a degree in Healthcare Science or a relevant field, alongside experience in acquiring EEG data. Hybrid working arrangements are possible. Applications close on 6th January 2026.

Benefits

Competitive salary

Generous holiday entitlement

Defined benefits pension scheme

Staff discounts

Family-friendly initiatives

Flexible work options

Qualifications

• Require a BSc in Healthcare Science (Neurophysiology) or relevant science degree.
• Must have training in clinical or research electrophysiology.
• Experience in analysing EEG data with specialized software is crucial.

Responsibilities

• Contribute to the development of an EEG database and prototype.
• Establish and annotate a new EEG database.
• Develop a remote EEG device prototype funded by a significant EPSRC grant.

Skills

BSc in Healthcare Science (Neurophysiology) or other relevant science degree

Training in clinical or research electrophysiology

Demonstrable understanding in acquiring and analysing EEG data

Understanding of neurological and neurodevelopmental conditions relevant to paediatric EEG

Demonstrable experience in conducting research experiments involving children or young adults

Education

BSc in relevant field

Tools

EEGLAB

MNE-Python

Job description

Overview

Grade UE06: £34,610 - £39,906 per annum

CMVM / Institute for Regeneration and Repair / Centre for Inflammation Research

Full-time: 35 hours per week

Fixed Term: 2 years

The Opportunity

Required for an immediate start, this role offers an exciting opportunity to contribute to the development of an EEG database and prototype that will in turn help new advances in signal analysis and causal Artificial Intelligence (AI) to identify seizures and predict outcomes, addressing barriers to early diagnosis in children with epilepsy.

This post is advertised as full-time (35 hours per week). We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.

The position plays a central role in our multidisciplinary team, by establishing and annotating a new EEG database, and the development of a remote EEG device prototype, funded by a multidisciplinary >£2m EPSRC grant.

Your skills and attributes for success

• BSc in Healthcare Science (Neurophysiology) or other relevant science degree (e.g. Biomedical Science, Neuroscience, Psychology)
• Training in clinical or research electrophysiology.
• Demonstrable understanding in acquiring and analysing EEG data (using specialised software, e.g. EEGLAB, MNE-Python or other).
• Understanding of neurological and neurodevelopmental conditions relevant to paediatric EEG.
• Demonstrable experience in conducting research experiments involving children or young adults.

Click to view a copy of the full job description (opens new browser tab)

Application Information

As part of this application, you are required to upload a cover letter/statement of not more than one page detailing how you meet each of the essential criteria as outlined on the job description and a CV.

As a valued member of our team, you can expect

• A competitive salary
• An exciting, positive, creative, challenging and rewarding place to work.
• To be part of a diverse and vibrant international community, working together with a common goal
• We give you support, nurture your talent and reward success.
• Comprehensive Staff Benefits, such as a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits.

Championing equality, diversity and inclusion

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.

Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages.

The University is unable to sponsor the employment of international workers in this role. International applicants will therefore be unable to apply for and secure a Skilled Worker visa. They will only be able to take up this role if they can demonstrate an alternative right to work in the UK.

Key dates to note

The closing date for applications is 6th January 2026.

Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.

We anticipate that interviews will be held week commencing 12th January.