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University of Edinburgh

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PhD in Precision Medicine: Glucose-lowering Medication Prescribing Patterns in Mental Illness and Diabetes University of Edinburgh in United Kingdom

Degree Level

PhD

Field of study

Epidemiology

Funding

The position is funded by UKRI as part of the Mental Health Platform. Funding details such as stipend amount and tuition coverage are not specified, but the programme is described as funded and includes an international exchange to Karolinska Institutet.

Deadline

Expired

Country flag

Country

United Kingdom

University

University of Edinburgh

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Edinburgh Neuroscience is promoting a cohort-based, multi-partner PhD programme delivered through the University of Edinburgh’s Usher Institute and Precision Medicine Doctoral Training Programme. The programme is designed to train scientists to interrogate state-of-the-art omics information and develop analytical methodologies that generate evidence for equality in health and well-being. The available projects span precision medicine, neuroscience, biomedical science, mental health and neurovasc...

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Keywords

Epidemiology
Public Health
Precision Medicine
Diabetes
Medical Science
Mental Illness
Pharmacoepidemiology
Statistics
- Health Data

About this position

The Usher Institute at the University of Edinburgh is offering a funded PhD opportunity in its Precision Medicine Doctoral Training Programme, focusing on glucose-lowering medication prescribing patterns among people with severe mental illness and diabetes. This interdisciplinary project operates at the interface of mental and physical health, leveraging large-scale health record data from the UK and Sweden to investigate time to treatment, medication changes, and equity in diabetes care. The research aims to determine how prescribing patterns differ by mental illness status, identify factors influencing medication decisions, and compare practices between the UK and Sweden.

Supervision is provided by Dr Caroline Jackson and Prof Sarah Wild from the University of Edinburgh, and Dr Sofia Carlsson from Karolinska Institutet, Sweden. The project includes an international exchange, allowing the student to work with Swedish data and collaborate with leading researchers in both countries. Training outcomes include expertise in epidemiology, pharmacoepidemiology, advanced statistics, and the use of complex linked health data, with direct application to diabetes and mental health research. The student will also engage in public and patient involvement activities and benefit from tailored training plans, including short courses in pharmacoepidemiology, R software, multi-state modelling, and causal inference.

Applicants should have a strong background in epidemiology, statistics, or related health sciences, and an interest in diabetes and mental health research. Experience with large-scale health data analysis and advanced statistical techniques is desirable. The position is funded by UKRI as part of the Mental Health Platform, and includes an international exchange to Karolinska Institutet. Applications for the 2026/27 academic year close on 12 January 2026. For more information and to apply, visit the provided links and ensure you submit the required documents, including a CV and the Recruitment Form, via the EUCLID application system. A Q&A session with the supervisors will be held on December 3rd via Microsoft Teams.

Keywords: Precision Medicine, Diabetes, Mental Illness, Pharmacoepidemiology, Epidemiology, Health Data, Glucose-lowering Medication, Statistics, Public Health, International Exchange.

Funding details

The position is funded by UKRI as part of the Mental Health Platform. Funding details such as stipend amount and tuition coverage are not specified, but the programme is described as funded and includes an international exchange to Karolinska Institutet.

What's required

Applicants must apply to a specific project and include project details on the Recruitment Form, which must be submitted in the research proposal section of the EUCLID application. Required documents include a CV and as many requested documents as possible. Applicants should have a strong background in epidemiology, statistics, or related health sciences, and an interest in diabetes and mental health research. Experience with large-scale health data analysis and advanced statistical techniques is desirable.

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Professors

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University Name
Country flag

United Kingdom

Research Interests

Epidemiology

Statistics

Diabetology

Type 2 Diabetes

Diabetes Research