Identification of Training Needs

Job-related training needs will be identified at a number of stages:

  1. At recruitment stage – any immediate training needs will be identified and discussed by the approving manager, and will be organized during the first three - six months of employment wherever possible.

  2. During the employee’s introductory period, when the approving manager and employee are setting initial targets and objectives.

  3. At appraisal when training needs will be identified with the following year’s objectives and will tie in with the center plan and/or any anticipated corporate change or projects to ensure competency and skill levels.

  4. When an employee is promoted or given additional responsibility either on a temporary or permanent basis, or being given responsibility for a particular project.
  5. At Any Time - when the employee sees a relevant course, conference, or workshop that will enhance personal development and further the projects needs.

Work with your Manager/Supervisor or Daniel Calabrese to find the best opportunities

Financial support for Rubin Observatory comes from the National Science Foundation (NSF) through Cooperative Support Agreement No. 1202910, the Department of Energy (DOE) Office of Science under Contract No. DE-AC02-76SF00515, and private funding raised by the LSST Corporation. The NSF-funded Rubin Observatory Project Office for construction was established as an operating center under management of the Association of Universities for Research in Astronomy (AURA).  The DOE-funded effort to build the the Rubin Observatory LSST Camera (LSSTCam) is managed by the SLAC National Accelerator Laboratory (SLAC).
The National Science Foundation (NSF) is an independent federal agency created by Congress in 1950 to promote the progress of science. NSF supports basic research and people to create knowledge that transforms the future.
NSF and DOE will continue to support Rubin Observatory in its Operations phase. They will also provide support for scientific research with LSST data.   

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