The Large Synoptic Survey Telescope (LSST) will reveal our dynamic universe as never seen before. By mapping the night sky every few nights for ten years, LSST will collect data for billions of stars and galaxies though space and time. Using these data, scientists will explore the structure of the Milky Way, spot potentially hazardous asteroids, determine the properties of dark energy and dark matter, and make discoveries that we have not yet imagined.
The LSSTC Data Science Fellowship Program (DSFP) is a two-year training program, designed to teach astronomy students essential skills for dealing with big data from LSST. The program is supported by the LSST Corporation through its Enabling Science initiative.
LSSTC Data Science Fellows learn a wide range of essential skills: the basics of managing and building code, statistics, machine learning, scalable programing, data management, image processing, visualization, and communication.
The DSFP consists of six week-long schools over a two year period, allowing students ample time to attain mastery of these skills.
Upon completion, students seed the LSSTC member institutions, LSST science collaborations, and broader astrophysics community with skilled, expert researchers.
For further information, visit the LSSTC Data Science Fellowship website: http://bit.ly/LSSTC_DataScienceFellowship
Dr. Lucianne Walkowicz, Director: L.M.Walkowicz@gmail.com
Dr. Adam Miller, Director of Program Development & Communications: AMiller@northwestern.edu
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