Experimental Officer in Machine Learning Platforms - Leeds, United Kingdom - University of Leeds

Description

Are you an ambitious person looking for your next challenge? Do you have an established background in machine learning? Do you want to further your career in one of the UKs 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. You will liaise with members of the DARA team to develop a training platform that will complement other aspects of data science training within DARA and beyond. The platform should have different levels for those with beginner, intermediate and advanced level prior knowledge. You will develop exemplar codes and data sets in both astronomy and Earth Observation. Consultations with DARA industrial partners will also be involved to showcase the synergies between the use of machine learning in astronomy and commercial opportunities in the space sector.

What we offer in return

• 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That's 42 days a year
• Generous pension scheme plus life assurance – the University contributes 14.5% of salary.
• Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
• Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
• Access to on-site childcare, shopping discounts and travel schemes are also available.

And much more

To explore the post further or for any queries you may have, please contact:

Faculty/Service: Faculty of Engineering & Physical Sciences

School/Institute: School of Physics & Astronomy

Category: Research

Grade: Grade 7

Working Time: 11.25 hours per week

Post Type: Part Time

Contract Type: Fixed Term (Until 31 March to complete specific time limited work)

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