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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 independent research on, and coordinate collaborative investigations into the theme of the post. • Assist in (or lead) proposals or simulations of observations relevant to the post, using existing or future planned instruments. • Participate in the supervision of undergraduate and graduate students. • Regularly write and contribute to research articles at an international level for peer-reviewed journals. • Present papers at national and international conferences to disseminate research findings, and represent the research group at external meetings/seminars. • The post-holder will have the opportunity to teach. This may include lecturing, small group teaching, and tutoring of undergraduates and graduate students. Essential selection criteria • Hold or be close to completion of a Ph.D./D.Phil in astrophysics or relevant field. • Strong skills in Astronomical imaging particularly from interferometers • Strong skills in Machine Learning techniques such as Recurrent Neural networks, Convolutional Neural Networks and Transformers • Strong skills in Python and Machine Learning Libraries Desirable selection criteria • Experience of application of statistical techniques to data. • Propensity for documenting and communicating work in an easy-to-understand/clear way, in both technical and high-level terms. 2 Pre-employment screening Standard checks If you are offered the post, the offer will be subject to standard pre-employment checks. You will be asked to provide: proof of your right-to-work in the UK; proof of your identity; and (if we haven’t done so already) we will contact the referees you have nominated. You will also be asked to complete a health declaration so that you can tell us about any health conditions or disabilities for which you may need us to make appropriate adjustments. Please read the candidate notes on the University’s pre-employment screening procedures at: https://www.jobs.ox.ac.uk/pre-employment-checks Additional security pre-employment checks • University security screening (eg identity checks) About the University of Oxford Welcome to the University of Oxford. We aim to lead the world in research and education for the benefit of society both in the UK and globally. Oxford’s researchers engage with academic, commercial and cultural partners across the world to stimulate high-quality research and enable innovation through a broad range of social, policy and economic impacts. We believe our strengths lie both in empowering individuals and teams to address fundamental questions of global significance, while providing all our staff with a welcoming and inclusive workplace that enables everyone to develop and do their best work. Recognising that diversity is our strength, vital for innovation and creativity, we aspire to build a truly diverse community which values and respects every individual’s unique contribution. While we have long traditions of scholarship, we are also forward-looking, creative and cuttingedge. Oxford is one of Europe's most entrepreneurial universities and we rank first in the UK for university spin-outs, and in recent years we have spun out 15-20 new companies every year. We are also recognised as leaders in support for social enterprise. Join us and you will find a unique, democratic and international community, a great range of staff benefits and access to a vibrant array of cultural activities in the beautiful city of Oxford. For more information, please visit www.ox.ac.uk/about/organisation. Department of Physics Oxford Physics is one of the largest and most eminent departments in Europe – pursuing forefront research alongside training the next generation of leaders in Physics. With an academic staff of over one hundred our activities range from fundamental particles to the furthest reaches of the universe to manipulating matter on an atomic scale. Oxford physicists are probing new ways to harness solar energy, modelling the Earth's atmosphere to predict the future climate, exploring computation on the quantum scale and executing calculations that reveal the fundamental structure of space and time. 3 Astrophysics Sub-department The post-holder will be based in the Astrophysics sub-department, which is one of the six subdepartments that together make up the Department of Physics; these are Astrophysics, Atomic and Laser Physics, Atmospheric, Oceanic and Planetary Physics, Condensed Matter Physics, Particle Physics and Theoretical Physics, with a seventh function (Central Physics) providing administrative and technical support to these sub-departments. Members of all sub-departments take part in research, teaching and matters such as examinations, discussion of syllabi, lectures and liaison with undergraduates and postgraduate students. Prof Aris Karastergiou leads the pulsar group at Oxford Astrophysics. This includes key roles in pulsar science programmes of MeerKAT, LOFAR, the Parkes telescope, and long-standing collaborations with pulsar centres around the world. It also includes leadership in the design of the Pulsar Search instrumentation and software for the Square Kilometer Array. AK is also a visiting professor in South Africa, with close ties to the South African SKA and MeerKAT community. Expertise in the Oxford group ranges from observations and theory of compact objects, and stellar evolution, to signal processing, and statistical/computational techniques and their applications to Pulsars and Fast Radio Bursts. For more information please visit: http://www.physics.ox.ac.uk/ Mathematical, Physical & Life Sciences Division The Mathematical, Physical and Life Sciences (MPLS) Division is one of the four academic divisions of the University of Oxford. The MPLS Division's 10 departments and 3 interdisciplinary units span the full spectrum of the mathematical, computational, physical, engineering and life sciences, and undertake both fundamental research and cutting-edge applied work. Our research addresses major societal and technological challenges and is increasingly focused on key interdisciplinary issues. We collaborate closely with colleagues in Oxford across the medical sciences, social sciences and humanities, and with other universities, research organisations and industrial partners across the globe in pursuit of innovative research geared to address critical and fundamental scientific questions. For more information please visit: http://www.mpls.ox.ac.uk/ Athena Swan Charter The Department of Physics holds a silver Athena Swan award to recognise advancement of gender equality: representation, progression and success for all. How to apply Applications are made through our online recruitment portal. Information about how to apply is available on our Jobs website https://www.jobs.ox.ac.uk/how-to-apply. Your application will be judged solely on the basis of how you demonstrate that you meet the selection criteria stated in the job description. As part of your application you will be asked to provide details of two referees and indicate whether we can contact them now. 4 You will be asked to upload a CV and a supporting statement. The supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. This may include experience gained in employment, education, or during career breaks (such as time out to care for dependants) Please upload all documents as PDF files with your name and the document type in the filename. All applications must be received by midday UK time on the closing date stated in the online advertisement. Information for priority candidates A priority candidate is a University employee who is seeking redeployment because they have been advised that they are at risk of redundancy, or on grounds of ill-health/disability. Priority candidates are issued with a redeployment letter by their employing department(s). If you are a priority candidate, please ensure that you attach your redeployment letter to your application (or email it to the contact address on the advert if the application form used for the vacancy does not allow attachments). If you need help Application FAQs, including technical troubleshooting advice is available at: https://staff.web.ox.ac.uk/recruitment-support-faqs Non-technical questions about this job should be addressed to the recruiting department directly recruitment@physics.ox.ac.uk To return to the online application at any stage, please go to: www.recruit.ox.ac.uk. Please note that you will receive an automated email from our online recruitment portal to confirm receipt of your application. Please check your spam/junk mail if you do not receive this email. Important information for candidates Data Privacy Please note that any personal data submitted to the University as part of the job application process will be processed in accordance with the GDPR and related UK data protection legislation. For further information, please see the University’s Privacy Notice for Job Applicants at: https://compliance.admin.ox.ac.uk/job-applicant-privacy-policy. The University’s Policy on Data Protection is available at: https://compliance.admin.ox.ac.uk/data-protection-policy. The University’s policy on retirement The University operates an Employer Justified Retirement Age (EJRA) for very senior research posts at grade RSIV/D35 and clinical equivalents E62 and E82, which with effect from 1 October 2023 will be 30 September before the 70th birthday. The justification for this is explained at: https://hr.admin.ox.ac.uk/the-ejra. For existing employees on these grades, any employment beyond the retirement age is subject to approval through the procedures: https://hr.admin.ox.ac.uk/the-ejra. 5 There is no normal or fixed age at which staff in posts at other grades have to retire. Staff at these grades may elect to retire in accordance with the rules of the applicable pension scheme, as may be amended from time to time. Equality of opportunity Entry into employment with the University and progression within employment will be determined only by personal merit and the application of criteria which are related to the duties of each particular post and the relevant salary structure. In all cases, ability to perform the job will be the primary consideration. No applicant or member of staff shall be discriminated against because of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. 6 Benefits of working at the University Employee benefits University employees enjoy 38 days’ paid holiday, generous pension schemes, travel discounts, and a variety of professional development opportunities. Our range of other employee benefits and discounts also includes free entry to the Botanic Gardens and University colleges, and discounts at University museums. See https://hr.admin.ox.ac.uk/staff-benefits University Club and sports facilities Membership of the University Club is free for all University staff. The University Club offers social, sporting, and hospitality facilities. Staff can also use the University Sports Centre on Iffley Road at discounted rates, including a fitness centre, powerlifting room, and swimming pool. See www.club.ox.ac.uk and https://www.sport.ox.ac.uk/. Information for staff new to Oxford If you are relocating to Oxfordshire from overseas or elsewhere in the UK, the University's Welcome Service website includes practical information about settling in the area, including advice on relocation, accommodation, and local schools. See https://welcome.ox.ac.uk/ There is also a visa loan scheme to cover the costs of UK visa applications for staff and their dependants. See https://staffimmigration.admin.ox.ac.uk/visa-loan-scheme Family-friendly benefits With one of the most generous family leave schemes in the Higher Education sector, and a range of flexible working options, Oxford aims to be a family-friendly employer. We also subscribe to the Work+Family Space, a service that provides practical advice and support for employees who have caring responsibilities. The service offers a free telephone advice line, and the ability to book emergency back-up care for children, adult dependents and elderly relatives. See https://hr.admin.ox.ac.uk/my-family-care Childcare The University has excellent childcare services, including five University nurseries as well as University-supported places at many other private nurseries. For full details, including how to apply and the costs, see https://childcare.admin.ox.ac.uk/ Disabled staff We are committed to supporting members of staff with disabilities or long-term health conditions. For further details, including information about how to make contact, in confidence, with the University’s Staff Disability Advisor, see https://edu.admin.ox.ac.uk/disability-support Staff networks The University has a number of staff networks including the Oxford Research Staff Society, BME staff network, LGBT+ staff network and a disabled staff network. You can find more information at https://edu.admin.ox.ac.uk/networks The University of Oxford Newcomers' Club The University of Oxford Newcomers' Club is an organisation run by volunteers that aims to assist the partners of new staff settle into Oxford, and provides them with an opportunity to meet people and make connections in the local area. See www.newcomers.ox.ac.uk. 7 """^^ . . . "notation"@en . "primary Site"@en . . . . "telephone"@en . . . . . "Format"@en . "es suborganización de"@es . "Fax"@en . """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. 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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.
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