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Position: Research Scientist
Institution: University of Washington
Location: Seattle, Washington, United States
Duties: As a member of our team, you will apply scientific procedures to develop the algorithms and write the code that make the LSST data processing possible. Investigate new algorithmic approaches, evaluate technical tradeoffs, and test the resulting pipelines to confirm that they meet our performance requirements
Requirements: A PhD in physics, astronomy, computer science, or a related field; or 3-5 years of experience in software development in an astronomical context
   
Text: Skip to main content A-Z Index Contact Us Academic HR UW.edu Enter search text: University of Washington Human Resources University of Washington Human Resources Home Jobs Why work at UW? 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Before you apply Temporary work Employee referral program Find a job Total Rewards Compensation Professional staff compensation Classified staff compensation Benefits Health benefits Insurance benefits Retirement plans Health and wellness WorkLife UW CareLink Child care Elder care Workplace giving The Whole U Discounts and perks Leaves and Holidays Leaves Holiday schedule Flexwork Workplace Essentials Employee Support Employee recognition Employee work performance Complaint resolution Update personal information UW SafeCampus Career Development Professional development Online learning opportunities Career tools and services Tuition exemption Manager Resources Hiring New employees Performance management Succession planning Organizational development Quick Links Employee Self-Service My HR Tools OPUS OWLS UWHIRES login Policies, Forms, and Contracts Policies Forms Labor union contracts Classified non-union information Professional Staff Program Offices Office of the Vice President Benefits Compensation Disability Services Office HR Administration and Information Systems HR Operations Labor Relations Marketing, Communications, and Engagement Professional & Organizational Development WorkLife More A-Z Index Contact Us Academic HR UW.edu Enter search text: If you are using a screen reader and experience any difficulty accessing our web pages, please call 206-543-2544 or email UWHires and we will be happy to assist you. jump to content Job Search RESEARCH SCIENTIST RESEARCH SCIENTIST Req #: 149899 Department: ASTRONOMY Job Location: Seattle Campus Posting Date: 10/10/2017 Closing Info: Open Until Filled Salary: Salary is commensurate with qualifications and experience. Shift: First Shift Notes: As a UW employee, you will enjoy generous benefits and work/life programs. For detailed information on Benefits for this position, click here. As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem solving skills and dedication to build stronger minds and a healthier world. UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits and natural beauty. All of which has allowed the UW to be nationally recognized as a “Great College to Work For” for four consecutive years. The Department of Astronomy at the University of Washington is searching for a research scientist to help design and develop next-generation data processing pipelines for the Large Synoptic Survey Telescope (LSST; http://www.lsst.org/ ). LSST will soon undertake a decade long astronomical survey. It will observe half the sky every three nights, detect ten million transient events nightly, and generate more than 6 petabytes of data per year. The University of Washington is leading the development of complex software pipelines that will analyze LSST's images in near-real time, detect millions of transient, variable and moving objects — and alert the world about them. As a member of our team, you will apply scientific procedures to develop the algorithms and write the code that make the LSST data processing possible. You will investigate new algorithmic approaches, evaluate technical tradeoffs, and test the resulting pipelines to confirm that they meet our performance requirements. A successful candidate will be an effective software developer with experience in Python and/or C++. They will have the ability to work independently to evaluate and apply standard and new scientific techniques when needed to help further the LSST goals. Strong communication skills are vital to the success of our geographically distributed team. An interest in developing skills in astronomical image processing algorithms, machine learning techniques, and performance optimization is desired. Twenty percent of your time will be available for personally-directed research. In addition to its involvement with LSST, the department is a partner in the Zwicky Transient Facility and has a major share in the Apache Point 3.5m telescope. Current research in the survey science group includes solar system science, study of the structure and evolution of the Milky Way, and observations of transient and variable objects. The position is funded to start immediately, and an appointment may be made at either a junior or senior level. LSST development at UW is funded to continue for the duration of construction (through 2022) and potentially beyond. A PhD in physics, astronomy, computer science, or a related field; or 3-5 years of experience in software development in an astronomical context; is required. We are committed to building a team that includes a variety of backgrounds, perspectives, and skills, and to maintaining the department's welcoming and supportive atmosphere. Review of applications will start immediately and continue until the position is filled. The University of Washington is a leader in environmental stewardship & sustainability , and committed to becoming climate neutral. The University of Washington is an equal opportunity, affirmative action employer. To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 / 206-543-6452 (tty) or dso@uw.edu . 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