Postdoc: ML for 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

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.