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: Enjoy a competitive salary, flexible working hours, and a supportive environment.
- Other info: Collaborate internationally and enjoy excellent career growth 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 35000 - 45000 £ 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
As a leading Intergovernmental Organisation, SKAO offers a unique opportunity to contribute to groundbreaking scientific advancements while enjoying a supportive and collaborative work culture. Employees benefit from a competitive rewards framework, professional development opportunities, and the chance to work in a stunning location at Jodrell Bank, surrounded by a community dedicated to exploring the universe. Join us to be part of a mission that not only values your expertise but also fosters your growth in an inspiring environment.
StudySmarter Expert Advice🤫
We think this is how you could land SKAO Postdoctoral Researcher on Machine Learning in Radio Interferometry
✨Tip Number 1
Network like a pro! Reach out to current or former employees at SKAO on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your machine learning and radio astronomy knowledge. We should be ready to discuss how our skills can contribute to developing those next-gen image reconstruction techniques.
✨Tip Number 3
Showcase our passion for the field! During interviews, let’s share any relevant projects or research we’ve done. It’ll help us stand out as candidates who are genuinely excited about the work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re serious about joining the SKAO team.
We think you need these skills to ace SKAO Postdoctoral Researcher on Machine Learning in Radio Interferometry
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in computer science and radio astronomy. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning in radio interferometry and how you can contribute to our team. Keep it engaging and personal!
Showcase Your Research Experience:We love seeing your research journey! Include details about any previous work related to deep learning or image reconstruction techniques. Highlight any collaborations or projects that demonstrate your expertise.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for this exciting opportunity at SKAO.
How to prepare for a job interview at Big Science Sweden
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning and radio interferometry. Familiarise yourself with the latest techniques in image reconstruction, especially those related to deep learning. Being able to discuss recent advancements or challenges in the field will show your passion and expertise.
✨Showcase Your Experience
Prepare to talk about your previous research or projects that relate to computer vision or radio astronomy. Have specific examples ready that highlight your problem-solving skills and how you've applied your knowledge in practical situations. This will help demonstrate your fit for the role.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the project, the team dynamics, and the future direction of SKAO's research. This not only shows your interest but also helps you gauge if this is the right environment for you.
✨Be Ready for Flexibility
Since the role involves working across different time zones, be prepared to discuss how you manage flexible working hours. Share any experiences you have with remote collaboration or adapting to varying schedules, as this will highlight your adaptability and commitment to teamwork.
