Research Assistant (Neurophysiological Biomarkers)

Applications are invited for a motivated and self-driven individual for the position of research assistant with the Irish ALS Research Group. This role will support the Neurophysiology and Neural signal Analysis Research Strand (NeuroMotor) 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 (including but not limited to Neural, Biomedical, or Electrical Engineering), Computer Science, Bio-Statistics, Bio/Neuro-informatics, Mathematics, Physics, Data Sciences, or other computational/quantitative sciences such as Computational Neuroscience. Suitable candidates will have a strong interest in neural engineering and neuroscience.

Excellent analytical, programming (preferably in MATLAB), and communication skills are essential. Experience in recording or analysing electrophysiological signals (i.e. electroencephalography (EEG) and electromyography (EMG)), data analysis, statistics, and machine learning are also highly desirable. 

At Trinity, we are committed to equality, diversity, and inclusion. Trinity welcomes applications from all individuals, including those applicants with disabilities, those who may have had non-traditional career paths, those who have taken time out for reasons including family or caring responsibilities. We also welcome international applicants including those whom have been displaced due to war.

We are ranked 3rd in the world for gender equality (Times Higher Education Impact Rankings 2020) and we hold an Athena SWAN Bronze award, recognising our work to advance gender equality. The University is actively pursuing a Silver level award, which it has committed to achieving by 2025. Trinity is committed to supporting the work-life balance and to creating a family-friendly working environment.