The Unidata Program Center is hiring! We are looking for a Python developer to join our team in creating and maintaining software and data services to support the geosciences.
As part of the University Corporation for Atmospheric Research (UCAR) in Boulder, CO, Unidata offers competitive salaries and great benefits. UCAR was selected as one of the Best Companies to Work For in Colorado. Simply put, Unidata is a great place to work. Unidata's team environment provides high levels of autonomy and responsibility with great opportunity to excel individually and contribute to the team's success.
Valparaiso University in Valparaiso, Indiana will be hosting a Unidata Regional Software Training Workshop March 14-15, 2019. Unidata software developers will be leading the two-day Python-focused workshop, which will cover the use of the MetPy and Siphon packages in the context of atmospheric science.
Unidata holds regional workshops in part to facilitate easy access to software training for those who may not be able to travel to training workshops held at the Unidata Program Center in Boulder, Colorado. Attendance is explicitly not limited to Valparaiso students and staff; we encourage those within easy travel distance to consider attending.
The Unidata Program Center is pleased to announce the availability of a JupyterHub server tailored to the needs of the atmospheric science community. Using resources provided by the National Science Foundation's Jetstream cloud-computing platform, Unidata's JupyterHub server is intended to serve as a demonstration of a notebook-based workflow for geoscience activities. After preliminary testing in a variety of situations including workshop and classroom use, Unidata staff are looking to expand beta-testing of the server to the wider community.
Metro State University in Denver, Colorado will be hosting a Unidata Regional Software Training Workshop March 8, 2019. Unidata software developers will be leading the one-day Python-focused workshop, which will cover the use of the MetPy and Siphon packages in the context of atmospheric science. A basic familiarity with Python is assumed — check out the Unidata Online Python Training for a refresher.
