The Astronomy department at the University of Washington has an opening for the position of manager/technical lead for its Large Synoptic Survey Telescope (LSST; http://dm.lsst.org) software group. The LSST will be the largest astronomical survey ever undertaken (surveying half the sky every three nights, detecting a hundred million stars and galaxies per night and amassing a data set in excess of 6 PB per year). The University of Washington is leading the research and development of state-of-the-art algorithms for the analysis of the nightly data streams (i.e., the detection and characterization of transients, variables, and moving sources).
We are seeking a talented astrophysicist, computer scientist, and/or software engineer with experience in managing software development groups. The candidate we are looking for would have experience in the management of software development teams (including the use of Earned Value Management), C++ and/or Python skills, experience working with image processing of astronomical images and, ideally, experience with the application of image subtraction techniques to large astronomical surveys. Interests in machine learning techniques, astronomical image differencing algorithms, and/or performance optimization are welcomed. A PhD in physics, astronomy, computer science or a related field, or several years of experience in software development, is required. The successful candidates will work with Professors Eric Bellm (UW DM Science lead), Andrew Connolly, Zeljko Ivezic, Mario Juric and the members of the LSST team.
The initial appointment is for one year, renewable through to the operation of the LSST, and offers competitive salary and benefits. The appointment is expected to start no later than September 2017.
Applicants should submit a curriculum vitae, brief description of research interests and management experience, and arrange for three letters of reference to be submitted to Andrew Connolly at firstname.lastname@example.org with subject line “LSST manager application (your name)". Applications will be accepted until the position is filled, to assure full consideration, please send your application as early as possible.
The University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.