13505- Electrophysiologist

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

Job summary

A leading educational institution in Edinburgh is seeking a capable professional to develop an EEG database and prototype, essential for advancements in signal analysis and AI for epilepsy diagnosis. This full-time position, with hybrid working considerations, demands a relevant degree and experience in EEG data analysis, particularly in clinical settings involving children. Successful candidates will join a multidisciplinary team supported by significant funding to contribute to innovative healthcare solutions.

Qualifications

• BSc in Healthcare Science (Neurophysiology) or related field.
• Training in clinical or research electrophysiology required.
• Understanding of neurological conditions relevant to paediatric EEG.

Responsibilities

• Develop and annotate an EEG database.
• Create a remote EEG device prototype.
• Work collaboratively within a multidisciplinary team.

Skills

Healthcare Science (Neurophysiology)

EEG data acquisition and analysis

Experience with children or young adults

Understanding of neurological conditions

Education

BSc in Healthcare Science or relevant degree

Tools

EEGLAB

MNE-Python

Job description

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.