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University of Oxford

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PhD in Emulating and Extending Randomised Controlled Trials Using Routinely-Collected Data from Europe University of Oxford in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Competition funded PhD project (students worldwide). The post notes limited financial support from the department for conference attendance and that the project is funded, but no stipend amount or full funding breakdown is given.

Deadline

Dec 1, 2026

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Country

United Kingdom

University

University of Oxford

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Keywords

Computer Science
Data Science
Epidemiology
Biostatistics
Biology
Mathematics
Randomized Controlled Trial
Medical Statistics
Medical Science
Causal Inference
Salud Pública
Statistics
Electronic Health Record

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About this position

University of Oxford’s Botnar Research Centre is advertising a PhD/DPhil project in clinical epidemiology and medical statistics focused on emulating and extending randomised controlled trials (RCTs) using routinely collected real-world medical record data from Europe.

The project explores the benchmark – expand – calibrate approach for causal inference across different data types, including electronic health records from the UK and other European countries, and across multiple study types such as treatment safety and effectiveness. Research themes include data analysis, biostatistics, causal inference, real-world evidence, and the use of de-identified primary and secondary care data.

Training is provided through the Health Data Sciences Section and the Botnar Research Centre, with lectures, seminars, and access to wider University of Oxford skills training. Students will also work with collaborators in academia, regulators, and industry, and may present at external conferences with limited departmental financial support.

This is a competition funded PhD project open to students worldwide. Applicants should have, or expect to obtain, a first or upper second-class BSc degree or equivalent in a relevant subject and must provide evidence of English language competence where applicable.

To apply, contact the relevant supervisor(s) to express interest and follow the University of Oxford graduate application process using course code RD_NNRA1. Applications open mid-September and the deadline is 1 December 2026 at 12:00.

Funding details

Competition funded PhD project (students worldwide). The post notes limited financial support from the department for conference attendance and that the project is funded, but no stipend amount or full funding breakdown is given.

What's required

Applicants should have, or expect to obtain, a first or upper second-class BSc degree or equivalent in a relevant subject. English language competence is required where applicable. The project is suitable for candidates interested in epidemiology, biostatistics, causal inference, real-world evidence, and analysis of routinely collected medical data.

How to apply

Contact the relevant supervisor(s) to register your interest and, if needed, email the departmental Education Team for guidance. Submit an official application through the University of Oxford graduate admissions route using the specified course code RD_NNRA1. Applications open mid-September and the deadline is 12:00 on 1 December.

More information can be found here

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