Experimental Officer in Machine Learning Platforms

Key Skills

Data science techniques, Effective communication skills, Machine learning techniques

Job 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.

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

Professor Melvin Hoare, Professor of Astrophysics and DARA Principal Investigator

Tel: +44 (0)113 343 3864 or email: M.G.Hoare@leeds.ac.uk

Working Time: 11.25 hours per week

Contract Type: Fixed Term (Until 31 March 2027 - to complete specific time limited work)

Downloads: Candidate Brief