Early Career Scientist Assembly

The Early Career Scientist Assembly (ECSA) is a permanent standing committee of the NSF NCAR Scientist Assembly (NSA) and managed by the ECSA steering committee.

Statement from the NCAR ECSA on Systemic Racism

 

Purpose of the ECSA

The ECSA represents the interests of early-career scientists within the NSA, and the ECSA steering committee voices concerns, solutions, and successes from early-career scientists to NSF NCAR and UCAR management to guide institutional policies. In order to achieve our mission statement of creating a strong and inclusive early-career workforce at NSF NCAR and UCAR, the ECSA strives to:

  • Foster a community of mutual respect and cooperation within NSF NCAR and UCAR;

  • Promote effective early-career scientist participation in the management of NSF NCAR;

  • Facilitate early-career scientific interaction across NSF NCAR and UCAR;

  • Enhance communication in matters of concern between NSF NCAR early-career scientists/engineers and NSF NCAR management;

  • Host early-career focused events for NSF NCAR staff;

  • Engage NSF NCAR early-career scientists and research engineers' in the development of NSF NCAR’s programs;

  • Advise NSF NCAR management and UCAR governance concerning scientific and research engineering policy and related matters affecting the institution.

 

ECSA Membership

All members of the NCAR scientific* and research engineering staff who identify as early-career can opt into the ECSA.

The ECSA nominally defines early-career as NSF NCAR staff who are within 12 years of having earned their highest degree. 

NSF NCAR staff who wish to be part of the ECSA must opt in by emailing ecsa+subscribe@ucar.edu.

If at any time an ECSA member no longer identifies with or feels represented by the ECSA, they may opt out by emailing ecsa+unsubscribe@ucar.edu.

Once subscribed to the ECSA Google group, you can search past postings and view the subscriber list.

 

ECSA Bylaws

The ECSA operates following its own bylaws: 

ECSA Bylaws

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*Associate Scientists, Machine Learning Scientists, Post-Docs, Project Scientists, Scientists, and Software Engineers.