PERSON SPECIFICATION How to be Criteria Essential Desirable assessed Qualifications, PhD or equivalent professional Experience of working with health CV and knowledge and qualifications and experience in an applications or in a health setting interview. experience area that relates to engineering, such as analysis and modelling of mathematics or computer science data from wearable sensors Detailed understanding and Teaching at undergraduate level and knowledge of programming e.g. Java, contributing to teaching at Matlab postgraduate level Research experience in data and knowledge engineering and machine learning and data analytics Movement and capture through digital video and body-worn sensors Planning and Able to organise own research CV and organising activities to deadline and quality interview. standards Problem solving Able to develop understanding of CV and and initiative complex problems and apply interview. knowledge to address them Able to develop original techniques/methods Management Able to supervise work of junior CV and research staff, delegating effectively interview. and teamwork Able to contribute to Academic Unit management and administrative processes Work effectively in a team, understanding the strengths and weaknesses of others to help teamwork development Communicating Communicate new and complex CV and and influencing information effectively, both verbally interview. and in writing, engaging the interest and enthusiasm of the target audience Able to present research results at group meetings and conferences Able to write up research results for publication in leading peer-viewed journals Work proactively with colleagues in other work areas/institutions, contributing specialist knowledge to achieve outcomes Able to work across multi-disciplines including a range of health
PERSON SPECIFICATION Criteria Essential Desirable How to be assessed Qualifications, knowledge and experience PhD or equivalent professional qualifications and experience in an area that relates to engineering, mathematics or computer science Detailed understanding and knowledge of programming e.g. Java, Matlab Research experience in data and knowledge engineering and machine learning and data analytics Movement and capture through digital video and body-worn sensors Experience of working with health applications or in a health setting such as analysis and modelling of data from wearable sensors Teaching at undergraduate level and contributing to teaching at postgraduate level CV and interview. Planning and organising Able to organise own research activities to deadline and quality standards CV and interview. Problem solving and initiative Able to develop understanding of complex problems and apply knowledge to address them Able to develop original techniques/methods CV and interview. Management and teamwork Able to supervise work of junior research staff, delegating effectively Able to contribute to Academic Unit management and administrative processes Work effectively in a team, understanding the strengths and weaknesses of others to help teamwork development CV and interview. Communicating and influencing Communicate new and complex information effectively, both verbally and in writing, engaging the interest and enthusiasm of the target audience Able to present research results at group meetings and conferences Able to write up research results for publication in leading peer-viewed journals Work proactively with colleagues in other work areas/institutions, contributing specialist knowledge to achieve outcomes Able to work across multi-disciplines including a range of health CV and interview.
371-%20Research%20Pathway%20-%20Research%20Fellow.docx