• Unidata is Looking for an AI/ML Software Engineer Unidata is Looking for an AI/ML Software Engineer
    October 27, 2020
     Unidata

    Unidata is looking for an Artificial Intelligence/Machine Learning (AI/ML) developer to join our team, helping educators and students learn how to use Unidata software and data services to support their scientific research.

    In this role, you'll interact with Unidata's community of researchers and educators to determine how they are harnessing AI/ML approaches to data analysis, and work toward a convention for storing data and metadata in an AI/ML ready way. In addition, you'll help evaluate existing tools such as the MetPy and Siphon python libraries and the netCDF libraries for fitness in the context of AI/ML applications. Your work will help identify and implement improvements that allow for smoother integration of Unidata software into a modern AI/ML pipeline.

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  • Students: Tell Unidata What You Need for Remote Learning Students: Tell Unidata What You Need for Remote Learning
    October 23, 2020
    Photo by Tim Gouw from Pexels

    Unidata is looking for graduate and undergraduate students in the geosciences to share their views on remote learning environments. The Unidata Users Committee and Unidata Program Center staff want to hear about your experiences, needs, and wishes for remote learning during a special online discussion session.

    The panel discussion will be held be from 1:00 to 1:55 PM MST on November 13, 2020. We're hoping to have roughly six students representing a variety of atmospheric science and related programs share their thoughts about what works well in remote learning situations, what doesn't work, and what might be done to improve the experience. Each student will have a short opportunity (3-4 minutes) to share their experience, followed by a dialogue with the Users Committee. A synthesis of the discussion will be shared with the Unidata community to communicate lessons learned.

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The Unidata Program center makes a wide variety of near-real-time and archive geoscience data and model output available to the university community. See the Data page for an overview of the available data types and access methods.