DM Science Analyst/Engineer

  • Green Job Crawler
  • Tucson, AZ
  • 25 May, 2019

Job Description

This job was posted by : For more information, please see: The Association of Universities for Research in Astronomy (AURA) is a consortium of over 40 US institutions and four international affiliates that operates world-class astronomical observatories. AURA's role is to establish, nurture, and promote public observatories and facilities that advance innovative astronomical research. AURA is responsible for managing the operations of the Gemini Observatory, the National Optical Astronomical Observatory, the National Solar Observatory, the Space Telescope Science Institute, and the construction of the Large Synoptic Survey Telescope and the Daniel K. Inouye Solar Telescope under cooperative agreements with NASA and the National Science Foundation.LSST, now under construction, will be large-aperture, wide-field, ground-based telescope-camera-data processing system that will digitally survey half the sky every few nights in six optical bands. It will explore a wide range of astrophysical questions, ranging from discovering "killer" asteroids, exploring the time domain universe, mapping the evolution and structure of our Milky Way galaxy, to examining the nature of dark matter and dark energy. The project includes an 8-meter class wide field telescope, a 3.2 gigapixel camera with 2-second readout, and a state-of-the-art peta-scale data management system to process, archive, and distribute the 15 TB of data produced every night. LSST Construction started an 8-year effort in July 2014. LSST is a single project funded by both the National Science Foundation and Department of Energy. Once completed, the LSST will be the largest and most modern optical survey project ever built and a flagship of US science and engineering. The LSST Data Management (DM) system is being constructed by a team of 100+ members residing at partner institutions across the United States and Chile. It includes a data processing system spanning two continents, new state-of-the-art image processing algorithms, peta-scale computing clusters with tens of thousands of cores, large distributed databases, and next-generation analysis toolkits, among others. All LSST DM code is free software (GPL v3), written in modern Python and C++. LSST is soliciting applications for a DM Science Analyst/Engineer to work within the DM Subsystem Science team based out of the LSST Project Office (Headquarters) in Tucson, AZ, and the Science Data Archive and Data Access Services team based at SLAC in Menlo Park, CA. The candidate will work within both teams to develop, test and deliver key aspects of the DM Data Access Services and Data Processing, including developing database tools for serving survey datasets (e.g. Gaia, HSC) in the LSST Science Platform, prototyping tools for data-intensive astronomy, and exploring cloud-based solutions for LSST data hosting and processing. The candidate will also write test specifications, plans and code, and participate in periodic reprocessing campaigns and operations rehearsals to assess the scientific quality of the LSST data products.The DM Science Analyst reports functionally to the DM Subsystem Scientist and works closely with the Science Data Archive and Data Access Services Manager and Scientist. We are looking for a scientist with experience in astronomical data processing and management systems, algorithms, and software to ensure that DM deliverables are built to specification, and to scientifically validate their readiness for commissioning and operations. Twenty percent of your time will be available for personally-directed research. The position being sought runs through the completion of the LSST Construction Project (c. late 2022) with multiple opportunities for continued engagement during the LSST's operational phase.Essential Functions: Lead the preparation and execution of the Data Release Production processing campaigns using benchmark datasets, liaising with the Data Release Production pipelines development team and the LSST data facility. Develop scalable systems for LSST data processing, including the exploration of cloud-based solutions. Coordinate deployment of peta-scale LSST data products to distributed parallel (MPP) database systems and next-to-data (MR) processing clusters. Develop test specifications and code to verify the LSST Data Management System requirements. Convert test specifications into executable code within the test and metric verification framework. Validate the science quality of the Data Release Production processing and the capability to achieve LSST science goals in collaboration with the Data Release Production team. Support the LSST commissioning team in understanding the outputs of the DM system.Starting salary will be commensurate with qualifications and experience. Application reviews will begin immediately and continue through May 31, 2019 or until the position is filled. AURA provides a generous compensation package including health coverage, paid time off and retirement benefits.Please list 3 professional references in your application and attach: a cover letter and a CV or resume, PDF files preferred. Please name any attachments with the following format: LastnameDocname. Application documents that are not uploaded as part of the application may be sent to employment@aura-astron