Postdoctoral Research Associate - Stroke Rehabilitation

The School of Science and Engineering has an international reputation for excellent teaching and topical research, particularly in addressing global challenges in energy, the environment, health care, technology, forensic science and infrastructure.

With its awardwinning Centre for Anatomy and Human Identification (CAHID), and departments in engineering, computing, physics and mathematics, the School offers a portfolio of disciplines and curriculums and state of the art facilities which prepare and inform the scientists and engineers of tomorrow. The School is run by an enthusiastic, committed and approachable team of experts who are recognised for their teaching approaches. It is also one of the fastest growing schools within the University.

Applications are invited for a Postdoctoral Researcher to join a multidisciplinary research team to quantify muscle movement following stroke. The successful candidate will be working with stroke experts (consultants, physiotherapists and research nurses) from NHS Tayside and Grampian. The central aim of this research is to gather evidence of the distinct patterns of muscle movement following stroke, and to develop predictive algorithms that may allow for the identification of motor-control mechanisms and processes linked with type and side of lesion, sex, age, and clinical scores such as the Action Research Arm Test, proprioception, spasticity, light touch, and grip strength. The successful candidate will be expected to use specialist tool in muscle movement assessment: high density surfaceelectromyography and will be further expected to carry out its processing and analysis. While the initial research will be conducted in NHS Tayside (Ninewells Hospital) and NHS Grampia! n (Aberde en Royal Infirmary), the successful candidate will be based at the School of Science and Engineering in collaboration with the School of Health Sciences.

Your priorities will include:

• Carrying out stroke participant testing which includes the acquisition, processing and analysis of the data.
• Liaising with clinical partners to understand the participant’s rehabilitation journey.
• Development of predictive algorithms from the HDsEMG and clinical data (scales and demographics).
• Close liaison with collaborators, including the Chest and Heart Stroke Scotland and other stakeholders.
• Analysis of experimental data, testing of hypotheses, and producing publication-ready figures.

Who we’re looking for:

• Completed a PhD, or be close to completion, in biomedical engineering, computing, engineering, or related discipline.
• The ability to independently solve complex problems through research and experimentation.
• Experience with use of surface electromyographic systems (or other electrophysiological signals, like EEG).
• A track record of scientific publication commensurate with experience.
• Evidence of initiative in the formulation, planning, and implementation of research activities.

For further information about this position please contact Ale Aranceta-Garza aarancetagarza001@dundee.ac.uk

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