From jhurley at swin.edu.au Mon May 11 12:17:08 2020 From: jhurley at swin.edu.au (Jarrod Hurley) Date: Mon, 11 May 2020 02:17:08 +0000 Subject: [ASA] ASTAC Call for Proposals for astronomy supercomputing time in Q3-Q4 2020 (ASTAC 2020-B) In-Reply-To: References: <9E7F297D-CD45-4622-AA9D-95CDC3D22F0C@swin.edu.au>, , , , , Message-ID: ________________________________ Astronomy Supercomputer Time Allocation Committee CALL FOR PROPOSALS: ASTAC 2020-B ** The current call for proposals closes at 5pm Friday 29th May 2020 ** The Astronomy Supercomputer Time Allocation call for proposals for Q3-Q4 2020 is now open. The deadline for this call is 5pm Friday 29th May 2020. Within this call we have 6 million service units available to allocate to the astronomy community on national supercomputing facilities. This includes allocations for CPU-only and GPU-specific applications. The following resources are available: 1. NCI Astronomy Program: up to 4,000 kSUs on the Gadi system; 2. Swinburne: up to 2,000 kSUs on OzSTAR. Full details on ASTAC and the current call can be found at: https://protect-au.mimecast.com/s/nZMLCgZ0N1i8qGq6UNoeXk?domain=astronomyaustralia.org.au or you can access the information sheet for the current call, including details on how to apply, directly via: https://protect-au.mimecast.com/s/IJuCCjZ1N7igYRYEiRfMcO?domain=astronomyaustralia.org.au ASTAC is formed by Astronomy Australia Limited (AAL) and the ASTAC process is managed by Astronomy Data and Computing Services (ADACS). Best regards, Jarrod Hurley (on behalf of ADACS and ASTAC) -------------- next part -------------- An HTML attachment was scrubbed... URL: From Minh.Huynh at csiro.au Wed May 13 16:11:41 2020 From: Minh.Huynh at csiro.au (Huynh, Minh (CASS, Kensington WA)) Date: Wed, 13 May 2020 06:11:41 +0000 Subject: [ASA] Two CSIRO Postdoctoral Fellowships in Machine Learning Methods for Radio Astronomy Message-ID: Dear ASA members, CSIRO Astronomy and Space Science are seeking applications for two postdoctoral positions in machine learning methods for radio astronomy within our new Machine Learning/Artificial Intelligence Future Science Platform. The ML/AI FSP will bring together a large number of world-leading experts to explore scientific questions using machine learning techniques, and the successful candidates will have the opportunity to work on projects ranging across multiple science research areas. Details below. Please forward the following information to prospective candidates and encourage them to apply. Many thanks, Minh *** Finding the Unknown in Radio Astronomy Datasets *** This position is focused on identifying rare and correctly unknown classes of astrophysical objects in Parkes and ASKAP data. The EMU survey on ASKAP will increase the number of known radio sources from millions to 10s of millions. The new receiver systems on Parkes are undertaking new deep and wideband surveys for pulsars and fast radio bursts. The postdoc will hunt for astrophysical sources in these large datasets. Location: Marsfield, Sydney More Information and how to apply: https://protect-au.mimecast.com/s/w41kC91WPRT8Vn6oTojbUa?domain=jobs.csiro.au Contact: George.Hobbs at csiro.au *** Classifying Radio Galaxies in Large Surveys *** This position is focused on applying machine learning methods to radio imaging from ASKAP telescope. The EMU survey on ASKAP will increase the number of known radio sources from millions to 10s of millions. The success of EMU relies on machine learning techniques to find patterns and objects in the radio images, and thereby automatically classify radio galaxies and their multiwavelength counterparts. You will work at the interface of astrophysics and machine learning to enable cutting edge astrophysics. Location: Kensington, Perth More Information and how to apply: https://protect-au.mimecast.com/s/q2RJC0YKPvij0v96TDVr1Y?domain=jobs.csiro.au Contact: Minh.Huynh at csiro.au *** Deadline for both: Sunday 21 June, 2020 *** Essential selection criteria for both include: ? A doctorate (or will shortly satisfy the requirements of a PhD) in a Platform-relevant discipline area, such as computing, astrophysics or physics. Please note: To be eligible for this role you must have no more than 3 years (or part time equivalent) of postdoctoral research experience. ? A sound history of publication in peer reviewed journals and/or authorship of scientific papers, reports, grant applications or patents. ? Solid knowledge of machine learning techniques and proven ability to develop and apply novel machine learning techniques to complex data sets. ? The ability to work effectively as part of a multi-disciplinary, regionally dispersed research team, plus the motivation and discipline to carry out autonomous research. ? Knowledge of Python, Julia, C, C++ or equivalent. CSIRO Astronomy and Space Science is committed to building a safe and welcoming workplace culture, and to implementing initiatives to improve diversity and equity within our workplace. CSIRO offers a range of flexible working arrangements to support these initiatives. A discretionary research/travel allowance will be available, together with assistance with relocation and other benefits, including health insurance. We work flexibly at CSIRO, offering a range of options for how, when and where you work (through our 'Balance' programme). Talk to us about how this role could be flexible for you. We offer a vibrant and collaborative work environment. CSIRO actively supports a safe, healthy and enriching working environment for all staff. -------------- next part -------------- An HTML attachment was scrubbed... URL: From kenji.bekki at uwa.edu.au Fri May 15 16:41:26 2020 From: kenji.bekki at uwa.edu.au (Kenji Bekki) Date: Fri, 15 May 2020 06:41:26 +0000 Subject: [ASA] Research associate position (computer simulations) at ICRAR/UWA In-Reply-To: References: , , , Message-ID: Dear ASA members, A postdoctoral research associate position at ICRAR/UWA is available now. The details are below. Regards, Kenji Bekki Postdoctoral Research Associate ? Galaxy Evolution About the Position Applications are invited for a 2 year postdoctoral research position in Galaxy Evolution in the International Centre for Radio Astronomy Research at the University of Western Australia. In this role you will to undertake research in galaxy evolution in dense environments. This Post-Doctoral position, under the supervision of Dr Kenji Bekki at the UWA node of ICRAR will lead numerical simulations of galaxies in groups/clusters of galaxies as part of a collaborative project with Swinburne University and the University of Queensland (UQ). The Post-Doctoral Research Associate (PDRA) will perform cosmological and/or constrained simulations of galaxy formation and evolution and analyse the simulated galaxy properties with machine learning techniques to uncover details on the environment-driven galaxy evolution. This collaborative project is motivated by recent significant advances in research on photometric, spectroscopic, and morphological evolution of galaxies in clusters of galaxies (in particular, Fornax). About ICRAR/UWA ICRAR is a WA State funded high profile equal joint venture established in 2009 between Curtin University and The University of Western Australia (UWA). The Centre?s headquarters are located at UWA, with research nodes at both UWA and Curtin. ICRAR is one of the lead Australian organisations participating in the international Square Kilometre Array (SKA) Project. ICRAR astronomers have access to a wide range of observational facilities (including ESO facilities, the AAT, ATCA and ASKAP), as well as to the nearby Pawsey supercomputing centre. The University of Western Australia (UWA) is ranked amongst the top 100 universities in the world and a member of the prestigious Australian Group of Eight research-intensive universities. With an enviable research track record, vibrant campus and working environments, supported by the freedom to ?innovate and inspire? there is no better time to join Western Australia?s top University. Perth, Western Australia, is listed as one of the world's most liveable cities and offers an excellent ocean-side lifestyle. About you The successful applicant will have: * Expertise in computational astrophysics (e.g., excellent HPC skills) * The ability to interact and collaborate with observational researchers * Reliability and effectiveness in distributed scientific collaborations * A strong publication record evidenced by refereed publications * Excellent verbal and written communication skills * The ability to work productively with students and/or contribute to outreach programmes. How to Apply Full details of the position?s responsibilities and the selection criteria are outlined in the position description: PD - Research Associate - Galaxy Evolution.pdf Please apply online via the Apply Now button: https://protect-au.mimecast.com/s/z9fECq71mwf9gy02SXSo5Y?domain=external.jobs.uwa.edu.au * Applicants should clearly demonstrate that they meet the selection criteria. * Applications must include a cover letter, a curriculum vitae, a publication list, and a brief (3 pages maximum) statement of research interests that includes a brief summary of relevant experience and a research plan. * Applicants should also arrange to have two letters of reference sent to Professor Kenji Bekki (kenji.bekki at uwa.edu.au) by the application deadline. Closing date: Sunday, 7 June 2020 This position is open to international applicants. * Full time and fixed term appointment for 2 years * Salary range: Level A, $70,936 - $95,464 plus superannuation Faculty of Engineering and Mathematical Sciences International Centre for Radio Astronomy Research (ICRAR) Our commitment to inclusion and diversity UWA is committed to a diverse workforce. We celebrate inclusion and diversity and believe gender equity is fundamental to achieving our goal of being a top 50 university by 2050. * We have child friendly areas on campus, including childcare facilities. Flexible work arrangements, part-time hours and job sharing will all be considered. * UWA has been awarded Platinum Employer Status for being a Top Ten Employer for LGBTI Inclusion by the Australian Workplace Equity Index (AWEI -2019). -------------- next part -------------- An HTML attachment was scrubbed... URL: