SKAO Postdoctoral Researcher on Machine Learning in Radio Interferometry

Big Science Sweden; United Kingdom; On-site; GBP 32,000 - 45,000; Full time

Job summary

Big Science Sweden is seeking a Postdoctoral Researcher on Machine Learning in Radio Interferometry to be based at the SKAO Global Headquarters in the UK. This 3-year fixed-term position involves developing cutting-edge algorithms for imaging using radio interferometry techniques.

The ideal candidate will have a PhD in Computer Science, expertise in computer vision and radio astronomy, and experience in deep learning. This role supports flexible working hours across varying time zones.

Qualifications

• Expertise in computer vision is required.
• Background in radio astronomy is essential.
• Experience with deep learning techniques is preferred.

Responsibilities

• Develop next-generation techniques for image reconstruction.
• Collaborate on ESO/SKAO-funded projects.
• Extend algorithms for use with SKA telescopes.

Skills

Computer vision

Radio astronomy

Machine learning

Deep learning

Education

PhD in Computer Science, Astronomy, or related field

Job description

Postdoctoral Researcher on Machine Learning in Radio Interferometry

Datum: 20 maj, 2026 Tid: 11:59

Placering: SKAO

Mer information

We seek an outstanding postdoctoral researcher with a background in computer science and/or radio astronomy to develop next‑generation radio interferometry image reconstruction techniques. We offer a 3‑year fixed‑term appointment based at the SKAO Global Headquarters in the UK.

The Role

We are seeking to employ a talented and motivated researcher to join an international collaboration on a joint ESO/SKAO‑funded project to develop deep‑learning‑based image reconstruction techniques for radio interferometry. This project will be based on ALMA data, with the aim of extending the developed algorithms for future use with SKA telescopes.

The 3‑year fixed‑term postdoctoral position will be based in the SKAO Global Headquarters located at Jodrell Bank in the UK.

An ideal candidate will have expertise in computer vision and radio astronomy (see the mandatory and desired qualifications sections below). We encourage candidates from other domains (for example, MRI/CT reconstruction, remote sensing, computational imaging, inverse problems in physics) to apply.

SKAO is committed to providing an inclusive and flexible working environment, meeting the requests of our Colleagues whilst also fulfilling the needs and objectives of the Observatory.

This role requires the post holder to work across different time zones and, in line with SKAO policy, flexible working hours will be supported in agreement with the line manager.