Job Title
Research Fellow
Job Reference
2396
Application Closing Date
18/11/2024
Division, Department
Research Division ,CIH Digital Health Interventions
Salary

Competitive starting salary range from £37,099 up to £40,521 (dependent upon experience) with the potential to progress. A discretionary range for candidates with exceptional experience can be discussed/considered.

Mode
Fixed Term - 2.5 years, Full Time 

 

Our Mission

 

Coventry University Group is a global education group with a mission of Creating Better Futures. We are driven by our passionate belief in the transformational power of education and research to enable and empower our students, colleagues and partners and to improve the world around them. Our people are key to our success and each role contributes to the Group’s ongoing progress in communities around the world.

 

An ambitious and innovative university, our research is designed to have real-world impact on society and tackle global challenges through our 18 challenge-led, interdisciplinary research centres. We enable high performing research teams and future research leaders to thrive and make an impact locally, regionally, nationally, and globally.

The Role

 

As Research Fellow within the Centre for Intelligent Healthcare you will undertake and play a lead role in the development of impactful research, through working on a research project funded by Diabetes UK. 

 

Personalised medicine in diabetes could be greatly enhanced through the use of cutting-edge technology, enabling improved treatment recommendations, particularly for the prevention of disability from long- term complications. Early microvascular changes in the retina strongly indicate deterioration in other microvascular beds. Early detection of change in retinal blood vessels could assist in reducing the burden of diabetic peripheral neuropathy (DPN) by providing an “early warning system” and an indicator of disease status, enabling improved treatment recommendations.

 

Aims of the project: (1) To develop a novel artificial intelligence (AI) driven image-based complication risk prediction model (requiring retinal images only) and assess its predictive value in quantifying individual 5-year risk of developing DPN. (2) To map the development of DPN and associated longitudinal risk factors using large-scale primary care electronic health records. 

 

The project has the potential to improve healthcare outcomes for people with diabetes by providing an ‘early warning system’, meeting the sustainability development goal of good health and wellbeing. You will apply innovative research methods and extend your research portfolio including the publication of your research results and outcomes. Building internal and external networks for the exchange of information and future collaboration, sharing information, and identifying potential sources of funds will play a key part of this role. 2.5 year fixed-term position.

Qualifications Required

 

PhD in the general area of computer science or biomedical engineering, demonstrating an ability to carry-out independent research with a 1st Class/2.1 Degree in computer science or biomedical engineering.

Our Successful Candidate

 

A highly motivated and experienced Research Fellow with demonstrable expert knowledge and understanding of AI, including experience contributing to the innovation and development of the field.  An Advanced knowledge of research methods and techniques with demonstratable adherence to all regulations, you will have the ability to develop research objectives, projects, and proposals for own and joint research.

 

Research sufficient to write up research and produce excellent, high-quality publications in high profile peer reviewed journals and present at national/international events, you will be committed to working collaboratively on research development, delivery and dissemination including interdisciplinary or cross-disciplinary research, public engagement, and knowledge exchange.

The Benefits

 

As a staff member of Coventry University, you will have access to a wide range of industry leading rewards and benefits which includes:

 

  • Excellent Employers Pension Contribution
  • 38 days Annual leave plus Bank Holidays
  • New Holiday Purchase Scheme up to 5 additional days
  • BUPA Cash Plan
  • 50% off Tuition Fees for staff dependants
  • CU Reward Scheme – Discounts across a range of High Street/ Online Retailers
  • New Electric Car Scheme
  • Cycle To Work scheme

Our Culture

 

As a global Education Group, equality, diversity, and inclusion are embedded within the fabric of our organisation and are a key focus of our core values. We harness the power and potential of the diverse cultures, backgrounds, abilities, and experiences of our students, colleagues, and partners to create opportunities for all.

Full Job Description & Person Specification

We look forward to hearing from you!