Postdoctoral Research Associate in MRI for Diabetes-Associated Chronic Kidney Disease
Develop next-generation MRI protocols to predict and model early-stage chronic kidney disease linked to diabetes and hypertension.
Best for:Best for postdoctoral researchers with expertise in medical physics, MRI sequence programming, and quantitative medical imaging, seeking to advance computational modeling in chronic disease assessment.
Overview
This postdoctoral position at the University of Sheffield focuses on advancing medical imaging to detect early-stage chronic kidney disease (CKD) in diabetic and hypertensive patients. The role involves designing novel MRI protocols for blood flow measurement, conducting clinical studies, and integrating MRI data with computational models of the cardiovascular system. The project is part of the EPSRC-funded VASCO-CKD initiative, aiming to bridge visible and microscopic vessel damage through digital twin technology. The successful candidate will collaborate with leading researchers in the INSIGNEO Institute for in silico medicine, Europe’s largest institute in this field, and contribute to groundbreaking translational research with real-world clinical impact.
What you'll do
- Develop and refine novel MRI protocols for blood flow measurement in patients with chronic kidney disease.
- Conduct clinical studies involving patients and matched volunteers to characterize vascular effects of diabetic and hypertensive kidney disease.
- Integrate MRI data with computational models of the cardiovascular system to predict early-stage disease progression.
- Analyze and interpret complex datasets to link visible MRI changes with microscopic vessel damage.
- Collaborate with interdisciplinary teams, including medical physicists, clinicians, and patient advocacy groups.
- Present research findings at international conferences (e.g., ISMRM, Virtual Physiological Human Conference).
- Leverage a dedicated travel budget to support professional development and networking opportunities.
Requirements
Degree required: PhD (or near completion) in medical physics, engineering, applied mathematics, physics, or computational mechanics, or a related quantitative field.
Language: English; proficiency sufficient for academic research and clinical collaboration.
Instruction: English
- Strong programming skills for MRI sequence development.
- Documented experience in quantitative medical imaging (MRI).
- Familiarity with phase-contrast MRI, 4D flow MRI, and GE scanners.
- Experience in running clinical studies and analyzing complex biomedical data.
- Proficiency in computational modeling and data integration techniques.
- No explicit nationality or residency restrictions mentioned.
- Open to candidates with PhDs in progress or recently completed.
Funding & terms
How to apply
Deadline: 2026-11-09
Applicants must submit their CV, a cover letter outlining their research experience and suitability for the role, and any relevant publications or references through the university’s online application portal. Additional documents may be requested during the review process.
- CV
- Cover letter
- Research statement or outline of relevant experience
- Publications or academic references (if applicable)
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