At a Glance
- Tasks: Develop a machine learning training platform for radio astronomy trainees in Africa.
- Company: Join one of the UK’s leading research-intensive universities.
- Benefits: Flexible working hours and the chance to work on impactful projects.
- Other info: Fixed-term contract with opportunities for growth until March 2027.
- Why this job: Make a difference in education and technology while advancing your career.
- Qualifications: Background in machine learning and a passion for collaboration.
The predicted salary is between 30000 - 40000 £ per year.
Are you an ambitious person looking for your next challenge? Do you have an established background in machine learning and want to further your career in one of the UK’s leading research-intensive universities?
You will work on the Development in Africa with Radio Astronomy (DARA) project with Prof Hoare and colleagues to establish a machine learning training platform for radio astronomy trainees in Africa. This platform will complement other data science training within DARA and beyond, providing different levels for beginners, intermediates and advanced users.
Responsibilities:
- Liaise with members of the DARA team to develop the training platform.
- Design and create exemplar codes and data sets in both astronomy and Earth Observation.
- Consult with DARA industrial partners to showcase synergies between machine learning in astronomy and commercial opportunities in the space sector.
Working Time: 11.25 hours per week
Contract Type: Fixed Term (Until 31 March 2027 – to complete specific time‑limited work)
Experimental Officer in Machine Learning Platforms in Leeds employer: University of Leeds
Join a prestigious research-intensive university that fosters innovation and collaboration in the field of machine learning. As an Experimental Officer, you will be part of a dynamic team dedicated to developing cutting-edge training platforms for radio astronomy trainees in Africa, offering you unique opportunities for professional growth and impactful contributions to global scientific advancements. Enjoy a supportive work culture that values your expertise and encourages continuous learning, all while working on a project that bridges academia and industry.
StudySmarter Expert Advice🤫
We think this is how you could land Experimental Officer in Machine Learning Platforms in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the machine learning and astronomy fields, especially those involved with DARA. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Showcase your skills! Create a portfolio of your work related to machine learning and data science. Having tangible examples of your expertise can really impress during interviews.
✨Tip Number 3
Prepare for the interview by understanding the DARA project inside out. Familiarise yourself with their goals and how your skills can contribute to their mission in radio astronomy.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Experimental Officer in Machine Learning Platforms in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Experimental Officer in Machine Learning Platforms. Highlight your experience in machine learning and any relevant projects, especially those related to astronomy or data science.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share your passion for machine learning and how you can contribute to the DARA project. Don’t forget to mention any collaboration experience with teams or industrial partners!
Showcase Your Skills:In your application, be sure to showcase your technical skills, particularly in designing training platforms or creating exemplar codes. We want to see how you can bring your expertise to the table and help develop the training platform for radio astronomy trainees.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at University of Leeds
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your previous projects and how they relate to the DARA project. Showing a solid understanding of both theoretical and practical aspects will impress the interviewers.
✨Familiarise Yourself with DARA
Do some homework on the Development in Africa with Radio Astronomy (DARA) project. Understand its goals, the team involved, and how your role as an Experimental Officer fits into the bigger picture. This shows genuine interest and helps you tailor your answers.
✨Prepare for Technical Questions
Expect technical questions related to coding and data sets in astronomy and Earth Observation. Practise explaining your thought process clearly and concisely. You might even want to prepare some example codes to demonstrate your skills if asked.
✨Showcase Collaboration Skills
Since liaising with the DARA team and industrial partners is key, be prepared to discuss your experience working in teams. Share examples of how you've successfully collaborated on projects, especially those that bridge academia and industry.
