SETI

FDL Call for Applications - Data Science

DATA  SCIENCE 

NASA FRONTIER DEVELOPMENT LAB 2017 CALL FOR APPLICANTS

NASA Frontier Development Lab (FDL) is looking for master’s students, doctorate or post-doc data scientists or machine learning to work with planetary scientists on the following challenges:     

  • Planetary Defense: Near-Earth Object 3D shape modeling or Comet detection Space Weather: Coronal Mass Ejections (CMEs) or Solar-Terrestrial Interactions Space Resources: Lunar Water or Asteroid Prospecting 
  • Hosted by the SETI Institute and NASA Ames in Mountain View and supported by leaders in AI from the private sector, such as IBM, Nvidia, Autodesk and Miso Technologies, FDL brings together teams of experts in the physical sciences and specialists in data science and machine learning for an intense 8-week concentrated study on topics important to NASA – and to humanity’s future. 
  • The format encourages rapid iteration and prototyping to create outputs with meaningful application, papers and conference posters. All participants are paid and provided accommodation and transport in Silicon Valley. 
  • The 2017 8-week program is still accepting qualified participants and will run June 26 - August 18, 2017. 
  • Applications will be accepted until the closing date of the 19th of May, although we encourage you to apply sooner to ensure a place. 

To learn more about FDL and submit your application, please visit the FDL website at http://frontierdevelopmentlab.org

FDL Call for Applications - Planetary Science

PLANETARY SCIENCE NASA FRONTIER DEVELOPMENT LAB 2017 CALL FOR APPLICANTS

  • NASA Frontier Development Lab (FDL) is looking for master’s students, doctorate or post-doc researchers with an understanding or interest in one of this year’s problem areas:  
  • Planetary Defense: Near-Earth Object 3D shape modeling or Comet detection Space Weather: Coronal Mass Ejections (CMEs) or Solar-Terrestrial Interactions Space Resources: Lunar Water or Asteroid Prospecting 
  • Hosted by the SETI Institute and NASA Ames in Mountain View and supported by leaders in AI from the private sector, such as IBM, Nvidia, Autodesk and Miso Technologies, FDL brings together teams of experts in the physical sciences and specialists in data science and machine learning for an intense 8-week concentrated study on topics important to NASA – and to humanity’s future. 
  • The format encourages rapid iteration and prototyping to create outputs with meaningful application, papers and conference posters. All participants are paid and provided accommodation and transport in Silicon Valley. 
  • The 2017 8-week program is still accepting qualified participants and will run June 26 - August 18, 2017. 
  • Applications will be accepted until the closing date of the 19th of May, although we encourage you to apply sooner to ensure a place. 

To learn more about FDL and submit your application, please visit the FDL website at http://frontierdevelopmentlab.org

SETI Institute is Hiring - Annual Fund Manager

SETI Institute
Job Description
Annual Fund Manager
 
Department:             Development
Job Status:              Exempt
Supervises:             Gift processing staff
Location:                 Mountain View, CA                                                                                                                                                          

The SETI Institute is adding the position of Annual Fund Manager to our friendly, collaborative and hardworking Development team.  The Annual Fund Manager will be strategically driven, able to work independently, and will lead the effort of raising donations from a large pool of donors under $1,000. 
Working collaboratively with the Director of Development, the Annual Fund manager will focus on fulfilling the Development goals of the Institute including growing the Annual Fund. The ideal candidate will be a data-driven fundraiser with the ability to lead the creation of inspiring campaigns.

Apply Here: https://workforcenow.adp.com/jobs/apply/posting.html?client=setiorg&jobId=63927&lang=en_US&source=CC782082

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