Senior Research Associate in Cerebrovascular Imaging

RFCSR; Oxford; Vor Ort; GBP 45.000 - 60.000; Vollzeit

Zusammenfassung

The University of Oxford’s Department of Engineering Science invites applications for a Senior Research Associate in Cerebrovascular Imaging based at the Old Road Campus Research Building in Headington, Oxford. The role centers on methodological innovation in cerebrovascular MRI and advanced image analysis, with applications to mental health and brain injury.

The appointee will contribute to projects through large imaging datasets and machine learning, within the Podium Institute for Sports

Qualifikationen

• PhD in engineering, physics, mathematics, biomedical engineering or related quantitative field.
• Post-qualification research experience and a strong academic record.
• Expertise in MRI acquisition, image reconstruction, signal modelling or advanced image analysis.
• Experience with large imaging datasets and applying machine learning or advanced statistical methods.
• Desirable: MRI pulse sequence programming and BBB evaluation; ability to apply ML to imaging problems.
• Strong communication and collaboration skills in interdisciplinary research environments.

Aufgaben

• Lead methodological development in cerebrovascular MRI and related imaging modalities.
• Work with large imaging datasets and apply machine learning/advanced statistics to identify imaging markers.
• Collaborate across engineering, medical and data science teams to deliver research outcomes.

Kenntnisse

MRI acquisition

Image reconstruction

Signal modelling

Advanced image analysis

Machine learning on imaging data

Ausbildung

PhD in relevant field

Tools

MRI pulse sequence programming

Jobbeschreibung

Senior Research Associate in Cerebrovascular Imaging

University of Oxford – Department of Engineering Science / Podium Institute for Sports Medicine and Technology
Oxford, UK

General Description – include all relevant details from the source

The University of Oxford’s Department of Engineering Science invites applications for a Senior Research Associate in Cerebrovascular Imaging based at the Old Road Campus Research Building in Headington, Oxford. This full-time, fixed-term research post is funded by Podium Analytics and situated within the research group led by Professor Thomas Okell at the Podium Institute for Sports Medicine and Technology. The role centres on methodological innovation in cerebrovascular magnetic resonance imaging (MRI), encompassing novel acquisition strategies, image reconstruction, advanced image analysis and physiological modelling. The successful candidate will contribute to projects aimed at enhancing the assessment of mental health, cognitive function and brain injury, including applications to sports-related injuries and broader clinical contexts. Projects may involve leveraging large-scale imaging datasets, integrating machine learning techniques to identify novel imaging markers, and exploring imaging markers of microvascular damage and blood-brain barrier disruption. The specific focus will be shaped by group priorities and the appointee’s expertise. The Department of Engineering Science holds an Athena Swan Bronze award, reflecting a commitment to equity and diversity.

Eligibility Criteria

Applicants should hold a PhD (or have submitted a thesis) in a relevant discipline such as engineering, physics, mathematics, biomedical engineering or related quantitative fields. Post-qualification research experience and a strong academic record are expected.

Required expertise/skills

Demonstrated experience in MRI acquisition, image reconstruction, signal modelling and/or advanced image analysis.

Proven ability to work with large imaging datasets, including the application of machine learning or advanced statistical methods.

Advantageous skills include MRI pulse sequence programming, conducting imaging studies, expertise in blood-brain barrier evaluation, and the application of machine-learning methodologies to complex imaging problems.

Strong communication and collaboration skills appropriate for interdisciplinary research environments.

Salary details

Salary for this appointment is typically aligned with University of Oxford Research Grade 8, commensurate with experience, reflecting competitive research staff remuneration.

Application Deadline

Applications must be received by midday on 23 March 2026.