Yves Wiaux

This fully-funded PhD position is offered by the Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University, Edinburgh, under the supervision of Professor Yves Wiaux. The research focuses on computational imaging for magnetic resonance imaging (MRI), specifically targeting low-resource settings where access to high-field MRI scanners is limited. The BASP laboratory is renowned for its work at the intersection of theory, algorithms, and applications in both astronomy and medicine. The project is part of large, UK Research Council-funded initiatives aiming to develop advanced image reconstruction and analysis algorithms that leverage deep learning, optimisation, and Bayesian sampling. These algorithms are designed to deliver high-quality imaging, calibration, and uncertainty quantification, with scalability to large datasets. The PhD will concentrate on developing and validating image reconstruction algorithms for low-field MRI, which are more affordable and portable but typically produce lower-quality data. By improving image quality from these scanners, the project seeks to democratise access to MRI diagnostics, especially in low- and middle-income countries. Research will include algorithm development at the interface of deep learning and optimisation, specialisation to low-field MRI, and validation on neuroimaging case studies using data from various low-field and experimental ultra-low-field scanners. The project benefits from collaboration with international experts in low-field MRI, including partners at Lausanne University Hospital, Leiden University Medical Center, and EPFL. Candidates should have a first class Master's degree in electrical engineering, applied mathematics, physics, computer science, or a related field. The scholarship covers tuition and stipend for 3.5 years and is open to international students. Applications are accepted year-round, with screening beginning in December 2025. To apply, send a single PDF (motivation letter, transcript, CV, and two references) to Prof. Wiaux by email.

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh, led by Professor Yves Wiaux, is seeking a PhD student to conduct research on foundational deep learning methodologies for computational imaging in astronomy and medicine. BASP is renowned for its innovative work spanning theory, algorithms, and diverse applications in computational imaging. The lab is involved in major research projects funded by UK Research Councils, focusing on developing next-generation image reconstruction and analysis algorithms that integrate deep learning, optimisation, and Bayesian sampling. These algorithms aim to achieve high-resolution and dynamic range imaging, incorporate calibration and uncertainty quantification, and scale to unprecedented image sizes and data volumes. The project will involve designing, implementing, and validating these algorithms for applications in both astronomy and medical imaging. The research will also address theoretical aspects, such as convergence guarantees and the development of novel stochastic optimisation algorithms for training deep networks. The initiative is supported by international partners, including the Digital Vision Centre at Université Paris-Saclay and the Institute of Computer Graphics and Vision at Graz University of Technology. The successful candidate will join BASP under the supervision of Prof. Wiaux, with potential co-supervision from collaborators at partner institutions. Applicants should have a first class Master’s degree (or equivalent) in electrical engineering, applied mathematics, physics, computer science, or a related field, and demonstrate a strong academic record and motivation. The scholarship is fully funded for 3.5 years and is open to international students, with a flexible start date in 2026. Applications are accepted year-round, with screening beginning in December 2025 and continuing until the position is filled. Interested candidates should submit a single PDF containing a motivation letter, transcript, CV, and two references to Prof. Wiaux via email.

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University, led by Professor Yves Wiaux, is recruiting a PhD student to conduct research on deep learning for black hole imaging. The BASP lab is renowned for its work in computational imaging, spanning theory, algorithms, and diverse applications. This position is part of major UK Research Council-funded projects aimed at developing next-generation image reconstruction and analysis algorithms that integrate deep learning, optimisation, and Bayesian sampling. These algorithms will deliver high resolution and dynamic range imaging, calibration, uncertainty quantification, and scalability to large image sizes and data volumes, with applications in both astronomy and medicine. The PhD project will specifically focus on creating efficient and scalable methodologies for imaging black holes at high resolution and dynamic range using the Event Horizon Telescope (EHT) and its future upgrades. Research activities will include developing image reconstruction algorithms for large-scale inverse problems, uncertainty estimation, and applying these methods to EHT data. The project is jointly supervised by Professor Yves Wiaux at Heriot-Watt University and Dr. Akiyama, EHT's Deputy Project Scientist at MIT Haystack Observatory. The successful candidate will be fully integrated into the BASP group and collaborate with international partners. The scholarship is fully funded for 3.5 years and is open to international students, with a flexible start date in 2026. Applicants should have a first class Master’s degree (or equivalent) in electrical engineering, applied mathematics, physics, computer science, or a related discipline. To apply, candidates should send a single PDF containing a motivation letter, transcript, CV, and names of two references to Prof. Wiaux by email. Screening of applications begins in December 2025 and continues until the position is filled.