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Postdoctoral Research Fellow in Medical Image Analysis Vacancy- University of Edinburgh

SINAPSE - Scottish Imaging Network · Edinburgh, IN · 1 mo ago
Part-time

About the role

The BHF Centre of Research Excellence in Edinburgh is seeking a postdoctoral researcher to provide image analysis expertise and capability for a range of human and translational medical imaging modalities primarily in cardiovascular and neurological research studies, and to apply established analysis algorithms and develop improved or new algorithms including machine learning approaches to extract novel quantitative measures using tools such as MatLab or Python. The medical imaging modalities include structural and functional MRI, PET-CT, PET-MRI, total body PET, and CT including soon to be available photon-counting CT, of heart, brain, other organs and vasculature including atheromatous plaque. The fellow will work closely with clinicians, medical physicists, radiochemists, image analysts and acquisition staff and students in the Advanced Imaging Theme, linking with researchers in related Themes.

Responsibilities

  • Provide image analysis expertise for cardiovascular and neurological imaging studies.
  • Apply established analysis algorithms and develop improved or new algorithms, including machine learning approaches.
  • Extract novel quantitative measures using MATLAB or Python.
  • Work with clinicians, medical physicists, radiochemists, image analysts, acquisition staff and students.
  • Link with researchers in related themes within the Advanced Imaging Theme.

Skills

  • Expertise in medical imaging modalities: structural and functional MRI, PET-CT, PET-MRI, total body PET, CT (including photon-counting CT).
  • Proficiency in MATLAB and/or Python for image analysis.
  • Experience with established analysis algorithms and machine learning methods.
  • Ability to collaborate with multidisciplinary teams (clinicians, physicists, radiochemists, etc.).

Pay

Salary: £40,497 – £48,149 per annum.

Schedule

Full-time (35 hours per week); open to part‑time or flexible working patterns. Hybrid working (remote + on‑campus) considered on a non‑contractual basis.

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