TomoGrav Postdoctoral Research Associate Call : From Black Hole Tomography to Magnetic Resonan

Role:
Tomo Grav Postdoctoral Research Associate Call I:
From Black Hole Tomography to Magnetic Resonance Imaging

Grade and Salary: Grade 7 - £37,694 - £47,389

FTE and working pattern: Full‑time (35 hours per week), Fixed Term Contract for 12 Months

Rewards and Benefits: 33 days annual leave, plus 9 buildings closed days for all full‑time staff (Part‑time workers should pro‑rate this by their FTE). Use our total rewards calculator:  to see the value of benefits provided by Heriot‑Watt University

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot‑Watt University Edinburgh is recruiting a large multi‑disciplinary team of postdoctoral researchers for the development of advanced computational imaging techniques and their cutting‑edge applications in radio astronomy, space geodesy, and medical imaging. The start date is October 1 2026, or as soon as possible thereafter.

BASP’s ethos is to develop cutting‑edge research on all aspects of computational imaging, from theory and algorithms, to applications in astronomy and medicine.

Multiple positions are open in the context of the £4M research Fellowship Tomo Grav awarded by the Royal Society to Dr Kazunori Akiyama (moving from MIT in March 2026 as an Associate Professor at Heriot‑Watt) in partnership with Professor Yves Wiaux (head of BASP).

Tomo Grav ambitions leveraging cutting‑edge AI to develop a computational imaging algorithm capable of an unprecedented regime of joint precision, robustness, efficiency, and scalability for image formation. The core application is dynamic black hole tomography with radio‑interferometric telescope arrays such as the Event Horizon Telescope (EHT) and its proposed space‑based Black Hole Explorer (BHEX) extension. The algorithm will be transferred to extreme‑scale radio‑interferometric imaging applications with SKA, to space‑geodetic imaging for Earth reference frame determination, and fast dynamic magnetic resonance imaging (MRI) in medicine.

Tomo Grav is supported by 10 world‑renowned partners from across the world, whose combined expertise is second to none:
Prof. Markoff (University of Cambridge), Dr Younsi (University College London), Prof. De Laurentis (University of Naples Federico II), and Dr Johnson (Center for Astrophysics | Harvard & Smithsonian) bring unique expertise in black hole science;
Prof. Pesquet (Université Paris‑Saclay), Prof. Schönlieb (University of Cambridge), and Prof. Steidl (Technische Universität Berlin) are leading experts at the interface of machine learning and imaging science;
Dr Breen (SKA Observatory), Dr Elosegui (MIT Haystack Observatory), and Dr van Heeswijk (Lausanne University Hospital) will support Tomo Grav’s planned technology transfers to, respectively, SKA, space geodesy, and MRI. The partners will actively participate to the research and host the postdoctoral researchers for secondments.

The Tomo Grav award was recently covered by global media, see e.g. the Royal Society press release, the Heriot‑Watt press release, the EHT blog, and our London Evening Standard Interview.

The postholders will develop cutting‑edge research in computational imaging, each focussing on one or multiple facets of the project, ranging from the development of high‑dimensional data models, imaging algorithms, and high‑performance software, to their validation in simulation and their extensive use for impactful case studies across the range of Tomo Grav’s astronomical and medical imaging applications.

Appointments are initially for 1 year, and renewable for up to 3 years, depending on research progress. The researchers will be encouraged and supported to transition to fellowship positions funded by any of the UK schemes by the end of their third year, aiming to both support progression towards independence and grow the Tomo Grav team.

We are looking for outstanding candidates with a PhD in astronomy, physics, electrical engineering, applied mathematics, computer science, or a related discipline.

The candidates will have expertise in computational imaging or in one of Tomo Grav’s…