Postdoc: ML for Radio Interferometry

Postdoc: ML for Radio Interferometry

Temporary 72000 - 88000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Develop innovative algorithms for imaging in radio interferometry using machine learning.
  • Company: Join Big Science Sweden at the SKAO Global Headquarters in the UK.
  • Benefits: Flexible working hours and a collaborative research environment.
  • Other info: Exciting opportunity for career growth in a dynamic scientific community.
  • Why this job: Contribute to groundbreaking research in radio astronomy and machine learning.
  • Qualifications: PhD in Computer Science with expertise in computer vision and deep learning.

The predicted salary is between 72000 - 88000 £ per year.

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 Ph D 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.

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Postdoc: ML for 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 Postdoc: ML for Radio Interferometry

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We think you need these skills to ace Postdoc: ML for Radio Interferometry

Machine Learning
Radio Interferometry
Algorithm Development
Computer Vision
Deep Learning
PhD in Computer Science
Flexible Working

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at Big Science Sweden, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Big Science Sweden, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Big Science Sweden’s attention and show the tangible impact of your work.

How to prepare for a job interview at Big Science Sweden

Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Big Science Sweden.

Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Big Science Sweden.

Prepare a Portfolio of Your Work

Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Big Science Sweden.