Research Assistant in Neural Engineering

Trinity College Dublin, The University of Dublin - Academic Unit of Neurology, School of Medicine, Trinity College Dublin, the University of Dublin

Post Status: 12 month Fixed-term Contract, Full-time

Hours of Work: 40 hours per week

Closing Date: 12 Noon (Irish Standard Time), 24 July 2018

Please note that Garda vetting will be sought in respect of individuals who come under consideration for a post.

Post Summary

Applications are invited for a motivated and self-driven individual for the position of research assistant with the Irish ALS Research Group, hosted in the Trinity Biomedical Sciences Institute (TBSI)'s Academic Unit of Neurology. The ideal candidate will have an undergraduate or master's degree in engineering, bioengineering, mathematics, physics, computational biology, or a cognate area. Familiarity with and/or the ability to quickly acquire skills in electrophysiological recordings and analysis (e.g. EEG/EMG), would be highly desirable as would a knowledge of computer programming (MATLAB).

Amyotrophic Lateral Sclerosis (ALS) or Motor Neurone Disease (MND) is a degenerative brain disease that leads to progressive decline and death within 3-5 years of first symptom. Our detailed assessment of cognitive, behavioural and social cognitive function in ALS points to significant disruption in extra-motor systems in some patients. Impairments in functional/effective communication between brain regions at rest and during functional cognitive and motor tasks can also be detected by (spectral) time-series analysis of electroencephalogram (EEG) and electromyogram (EMG) recordings. Measures of neural signal using spectral EEG can identify directional influences within CNS networks and can capture pathological patterns of communication. These technologies have been used by us and others at group level in neurodegeneration but their true potential to capture disease heterogeneity has not been harnessed. This project will combine high resolution structural and dynamic imaging of the brain at 3 Tesla, spectral EEG/ EMG, and source localisation of the brain sources to identify the network abnormalities specific to ALS sub-phenotypes as diagnostic and prognostic network-based biomarkers.

Further Information for Applicants

Informal enquiries can be sent to Dr Bahman Nasseroleslami at

Please visit to find out more information regarding this position

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Republic of Ireland

* Salary has been converted at the prevailing rate on the date placed