SKAO Postdoctoral Researcher on Machine Learning in Radio Interferometry

SKAO Postdoctoral Researcher on Machine Learning in Radio Interferometry

Temporary 31500 - 38500 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Develop next-gen image reconstruction techniques using deep learning for radio interferometry.
  • Company: Join SKAO, a leading organisation in radio astronomy and machine learning.
  • Benefits: Flexible working hours, inclusive environment, and a 3-year fixed-term contract.
  • Other info: Collaborate internationally and enjoy excellent career development opportunities.
  • Why this job: Make a real impact in the field of radio astronomy with cutting-edge technology.
  • Qualifications: Expertise in computer vision or radio astronomy; open to diverse backgrounds.

The predicted salary is between 31500 - 38500 £ per year.

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.

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.

SKAO Postdoctoral Researcher on Machine Learning in Radio Interferometry employer: Big Science Sweden

Big Science Sweden is an exceptional employer, offering a vibrant multicultural work environment at the iconic Jodrell Bank Observatory. Employees benefit from generous perks such as 30 days of annual leave, relocation support, and a robust pension scheme, all while having the opportunity to grow professionally in a dynamic IT service role that directly supports the global scientific community.

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Contact Details:

Big Science Sweden Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land SKAO Postdoctoral Researcher on Machine Learning in Radio Interferometry

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We think you need these skills to ace SKAO Postdoctoral Researcher on Machine Learning in Radio Interferometry

Machine Learning
Deep Learning
Image Reconstruction Techniques
Computer Vision
Radio Astronomy
ALMA Data Analysis
Computational Imaging

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