The NASA Astrophysics Data System (ADS) Project is looking for a highly-motivated full-stack developer interested in joining a dynamic team of talented individuals working on our digital library system.
Skills and Requirements:
Knowledge of text or data mining principles, familiarity with machine learning and information extraction techniques, knowledge of semantic computing technologies and techniques, and knowledge of asynchronous messaging queues are desirable.
Individuals must have IT-related experience demonstrating strong analytical skills, attention to detail, good communication skills, and commitment to customer service.
For qualification standards please check: http://www.opm.gov/qualifications/Standards/IORs/gs2200/2210-altA.asp
About the Company:
The Smithsonian Astrophysical Observatory is part of the largest and most diverse astrophysical institution in the world, where the staff carries out a broad program of research in astronomy, astrophysics and earth and space sciences. If you would like to join this exciting organization, apply today!
The NASA Astrophysics Data System (ADS) within High Energy Astrophysics Division of The Smithsonian Astrophysical Observatory is a core component of the scholarly infrastructure of Astronomy, and also finds substantial use in the Physics and Geophysics communities. The ADS’s dataset currently consists of over ten million documents, and is growing at a rate of several thousand per month. Nearly every Physics, Astronomy, and Geophysics article refereed in the past 20 years is fully indexed and served by the ADS. Over 50,000 scientists and librarians use the ADS daily. By joining our group you will be actively supporting the discovery, research, and dissemination of scientific results! Find us online at http://ads.harvard.edu and http://adslabs.org/adsabs
How to Apply:
To apply, please go to: https://www.usajobs.gov/GetJob/ViewDetails/377780800
The Smithsonian Astrophysical Observatory is an equal opportunity employer committed to diversity in our workplace.
Last updated: Tuesday, February 28, 2017 23:43 UTC