Postdoctoral Research Associate in Computational Imaging: from radio astronomy to magnetic resonance imaging in medicine

Role:Postdoctoral Research Associate in Computational Imaging: from radio astronomy to magnetic resonance imaging in medicine

Contract:Full-time (35 hours per week), Fixed Term Contract for 18 Months

Salary:Grade 7 - £38,448 - £48,337 per annum

Holiday Entitlement:33 days annual leave, plus 9 buildings closed days for all full-time staff.

The Biomedical and Astronomical Signal Processing (BASP) Laboratory at Heriot-Watt University, Edinburgh, is recruiting a multidisciplinary team of postdoctoral researchers to develop next-generation computational imaging algorithms, from fundamental theory and methods to transformative applications in radio astronomy and medical imaging. The start date is March 05, 2027, or as soon as possible thereafter.

BASP’s research spans the full spectrum of computational imaging, from mathematical foundations and algorithm development to high-impact scientific and medical applications.

Multiple positions are available through research projects awarded to Professor Yves Wiaux, Head of BASP, by the Science and Technology Facilities Council (STFC), through the AI-CLEAN project, and the Oxford Breakthrough Listen Hub, through the XIRI project. These projects aim to advance the next generation of computational imaging algorithms for radio astronomy, with the potential for technology transfer to medical imaging.

The overarching ambition is to harness cutting-edge AI to deliver a new generation of computational imaging algorithms combining unprecedented precision, robustness, computational efficiency and scalability. The primary application is extreme-scale radio-interferometric imaging for next-generation facilities such as the Square Kilometre Array (SKA), with subsequent transfer of the developed methodologies to fast, dynamic magnetic resonance imaging (MRI).

Deep learning will provide powerful data-driven representations and reconstruction capabilities, while Agentic AI will enable specialised AI agents to collaborate, assess intermediate results and adapt reconstruction strategies to the data, measurement physics and imaging task. By combining these complementary capabilities, the research will move beyond fixed reconstruction pipelines towards more adaptive, intelligent and reliable imaging algorithms.

A central challenge is to harness the expressive power of deep learning and the adaptability of Agentic AI while preserving the mathematical guarantees, physical interpretability and reliability essential for scientific imaging. The research will develop principled approaches to image estimation and uncertainty quantification, aiming to deliver high-fidelity reconstructions that are not only computationally efficient but also scientifically trustworthy.

The postholders will conduct cutting-edge research in computational imaging, contributing to one or more aspects of the projects, from high-dimensional data modelling and imaging algorithm development to high-performance software implementation, validation through simulation, and application to impactful astronomical and medical case studies.

Appointments will typically be for an initial period of 1 year, with the possibility of renewal for up to three years, subject to research progress.

We are seeking outstanding candidates with a PhD, or close to completion, in astronomy, physics, electrical engineering, applied mathematics, computer science or a related discipline.

Candidates should have expertise in computational imaging and/or in one of the target application domains: radio interferometry or magnetic resonance imaging (MRI).