PhD Studentship - ARC NENC PhD: Next-generation ocular technologies for early disease detection and precision health

The Methodist Church in Britain; North East; Presencial; GBP 16.000 - 20.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Laptop

UKRI stipend

Research training in data analysis/AI

Descripción de la vacante

The Methodist Church in Britain is offering a three-and-a-half-year, full-time PhD studentship hosted by University of Sunderland's NORI, in collaboration with Durham University and Occuity Ltd. The project evaluates new ophthalmic technologies as potential biomarkers for chronic diseases, using NHS and population study data and cutting-edge analytics.

Applicants should hold a STEM honours degree with health data analytics experience and have UK home or EU settled/pre-settled status for full

Formación

• First or higher second-class honours degree in a STEM subject.
• For a second-class degree: a Master's degree, or expected Master's, or 2 to 5 years' full-time relevant professional experience.

Responsabilidades

• Evaluate novel ophthalmic technologies that capture biological information from the eye.
• Investigate how measurements relate to ocular and systemic health.
• Assess potential as biomarkers for disease detection, stratification and monitoring.
• Work with data and participants recruited through NHS and population-based studies.
• Contribute to observational and translational studies involving people with or at risk of chronic disease.
• Apply analytical approaches such as statistical modelling, image analysis, machine learning and multimodal biomarker integration.
• Generate evidence to support responsible translation of ophthalmic technologies into clinical research and healthcare.
• Complete research-in-practice internships with academic, civic and industrial partners.

Conocimientos

Health data analytics

Statistical modelling

Image analysis

Machine learning

Multimodal biomarker integration

Educación

First or upper second-class honours degree in a STEM subject

Master's degree (for second-class degree) or 2–5 years relevant experience

Descripción del empleo

A three-and-a-half-year, full-time PhD studentship at the University of Sunderland's NORI, with Durham University and Occuity Ltd. It evaluates new ophthalmic technologies that capture biological information from the eye, and whether these can serve as biomarkers for diseases such as diabetes. The student works with NHS and population study data, uses advanced analysis methods, and completes internships with partners. Applicants need a relevant STEM degree of first or higher second class, with health data analytics experience, and UK home or EU settled or pre-settled status for full funding.

What the job involves

• Evaluate novel ophthalmic technologies that capture previously inaccessible biological information from the eye
• Investigate how these measurements relate to ocular and systemic health
• Assess their potential as biomarkers for disease detection, stratification and monitoring
• Work with data and participants recruited through NHS and population-based studies
• Contribute to observational and translational studies involving people with or at risk of chronic disease
• Apply analytical approaches such as statistical modelling, image analysis, machine learning and multimodal biomarker integration
• Generate evidence to support responsible translation of ophthalmic technologies into clinical research and healthcare
• Complete research-in-practice internships with academic, civic and industrial partners

What’s required

Qualifications

• First or higher second-class honours degree, or equivalent, in a relevant STEM subject
• For a second-class degree: a Master's degree, or expected Master's, or 2 to 5 years' full-time relevant professional experience

Experience

• Some work involving health data analytics

Checks & eligibility

• UK home fee status, or EU settled or pre-settled status

Other

• Two academic or professional references covering your role on a research project, submitted with the application
• IELTS overall score of 6.5 with at least 6.0 in each component, if English is not your first language

What’s offered

• UK home-rate tuition fees
• Monthly stipend at the UKRI recommended rate
• Research training in data analysis, artificial intelligence and research translation
• A laptop
• Research activity allowance of up to £3,000
• Research-in-practice internships with academic or industry partners
• Exchange opportunities with leading health data science research groups