Research Assistant/Research Fellow in Predictive Health Monitoring Technologies
The job requirements are detailed below. Where applicable the skills, qualifications, and memberships required for this job have also been included.
Job details
Fixed term for 24 months, 37 hours per week
A highly motivated and creative individual is required for the post of Research Assistant/Research Fellow in Predictive Health Monitoring Technologies. You will work as part of a team, delivering the research project entitled 'Developing a framework for predictive health interventions using digital twinning of the SMART house/participant system'.
This is an exciting multidisciplinary project which will address multi-dimensional health challenges and will implement state-of-the-art technology and analytics to improve health outcomes for people. You will be coordinating a number of work packages and will have the opportunity to work with a truly multidisciplinary team.
This position is based within The School of Computing & Engineering, a large, research-intensive School, at the University of Huddersfield. You will also collaborate closely with colleagues in The School of Human and Health Sciences.
The work will entail the design and development of health monitoring systems, and the evaluation of real-world data collected in our state-of-the-art SMART house. You will help review the available literature, design and develop techniques, collect and analyze data, and generate academic outputs.
With a Doctoral qualification in Engineering or Data Analysis, or enrolled and progressing well with a Doctoral qualification, you will have an interest in health technologies and an enquiring and creative approach to challenges. The work will also involve collaborations with industrial and clinical partners, so good communication skills will be essential and previous experience of liaising with external stakeholders would be an asset.
The University is deeply committed to equality and diversity for all its students and staff. We seek to be diverse and inclusive, supporting individuals and groups to fulfill their potential and nurture a sense of belonging. We strive to be an accessible, inclusive employer, removing barriers for all.
If you are a current student at the University, you are welcome to apply for part-time roles of 16 hours or less per week, unless you are a part-time postgraduate student, in which case you can also apply for full-time roles, subject to any visa requirements.
For more information, please download the recruitment pack.
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