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Artificial Intelligence and Data Scientist
further particulars: Artificial Intelligence and Data Scientist JD
type: Vacancy
application closing date: 2024-01-17T12:00:00+00:00
notation: 170116
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salary: Standard Grade 7: £36,024 - £44,263 per annum
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based near: Denys Wilkinson Building
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comment: The post is available for up to 2 years fixed term until the 31st December 2025. We are searching for an experienced and motivated data scientist, with expertise in Radio Astronomy imaging and Python to join an international team using SKA pathfinders such as LOFAR and the uGMRT to improve data processing pipelines in preparation for the Square Kilometre Array (SKA) The successful applicant will join a team of experts in at Oxford Astrophysics, and a broader team of collaborators in Durham and India. • Hold or be close to completion of a Ph.D./D.Phil in astrophysics or relevant field. • Experience in Astronomical imaging from radio interferometers • Experience in Machine learning techniques • Experience in python and machine learning libraries Please direct enquiries about the role to Dr. Kris Zarb-Adami kristian.zarbadami@physics.ox.ac.uk Only applications received before midday 17th January 2024 can be considered. You will be required to upload a brief statement of research interests, CV and details of two referees as part of your online application.
organization part: Astrophysics
application opening date: 2023-12-20T09:00:00+00:00

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value: _________________________________________________________________________ Job Description and Selection Criteria Job title Artificial Intelligence and Data Scientist Division Mathematical Physical and Life Sciences Department Physics Location Denys Wilkinson Building Grade and salary Grade 7: £36,024 - £44,263per annum Hours Full time Contract type Fixed-term (up to 2 years) until the 31st December 2025. Reporting to Prof Kris Zarb-Adami Vacancy reference 170116 Research topic Building Indo-UK Collaborations Towards the Square Kilometre Array Principal Investigator / supervisor Prof Kris Zarb-Adami Project team Project web site The Square Kilometre Array (SKA) | University of Oxford Department of Physics Funding partner The funds supporting this research project are provided by STFC. Overview Very high-quality data from new, extremely sensitive telescopes, new techniques in statistical data processing, artificial intelligence and machine learning, as well as high performance computing technology, are all coming together to open up paths of discovery in physics. Construction is starting on the Square Kilometre Array. The SKA science programme will commence in a few years see https://www.skatelescope.org/ ). We are searching for an experienced and motivated AI/ML data scientist, with expertise in Radio Astronomical imaging to join an international team working on SKAO pathfinder surveys, with a focus on LOFAR and the uGMRT, in collaboration with Durham University, Cambridge University and our Indian colleagues. The successful candidate will demonstrate awareness of key scientific questions in astronomical imaging, source classification and detection, including a very good understanding of galaxy formation. Responsibilities This job includes the following hazards or safety-critical activities which will require successful pre-employment health screening through our Occupational Health Service before the successful candidate will be allowed to start work: • Conduct inde…

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