Suitable PhD candidates will be graduates with a minimum of a 2.1 degree in engineering,
physiotherapy or related disciplines.
The 3Rs project aims to exploit neural bio-signals at brain (EEG) and muscle (EMG) level during lower
limb function after stroke to improve delivery of robot assisted therapy.
Motion trajectory prediction models will be developed with the aim of closing the loop between
human and robot and to drive neuroplastic change and impact motor recovery.

Supervisors: Dr Olive Lennon, UCD School of Public health, Physiotherapy and Sports Science and Prof. Madeleine Lowery, UCD School of Electrical and Electronic Engineering.

For further details see the attached project description, and contact Dr Olive Lennon (olive.lennon@ucd.ie) or Prof. Madeleine Lowery (madeleine.lowery@ucd.ie).

The PhD candidates will work directly with a post-doctoral researcher under the academic
supervision of Dr Olive Lennon, School of Public health, Physiotherapy and Sports Science and Prof.
Madeleine Lowery, Biomedical engineering, School of Electrical and Electronic Engineering.

Objective 1: Identify neural correlates of brain and muscle activity (EEG and EMG) and allow offline
prediction of 3D movement trajectories from EEG, EMG and kinematic data during sit to stand and
stepping in healthy control subjects.
Objective 2: Identify neural correlates of brain and muscle activity (EEG and EMG) and allow offline
prediction of 3D trajectory from EEG, EMG and kinematic data during sit to stand and stepping in
chronic stroke survivors.
Objective 3:  Incorporate motion trajectory prediction models of sit-to-stand and stepping in a
robotic gait device after stroke to close the human-machine loop during functional movements.

If you are interested in this position or A PhD within Insight UCD please do fill in the form below.

Expression of interest form  – https://forms.gle/q3W7bbzU4KD7fGFc9