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Company: Southwest Research Institute
Location: Boulder
Posted on: May 8, 2022

Job Description:

Who We Are: As a recognized leader in machine learning applications to heliophysics and space science research, we are helping to reveal the secrets of our solar system and the universe. Objectives of this Role: Use machine learning to enable effective and actionable space weather forecast tools. Use machine learning to create homogeneous databases spanning multiple instruments with different capabilities. Use machine learning to identify, label, and analyze recurrent patterns in heliophysical, geophysical, and astrophysical data. Help create inclusive and nurturing team dynamics in which members with different fields of expertise communicate and collaborate effectively. Help ideate, plan, write, submit, and execute research grant proposals to public and/or private funding programs. Daily and Monthly Responsibilities: Participate in regular meetings for planning, ideation, and execution of research objectives. Development of application of machine learning tools to accomplish scientific goals using Python. Maintenance and documentation of open-source repositories. Writing and submission of grant proposals and scientific articles. Pair-coding, and other joint exercises aimed to train others and/or acquire new expertise. Requirements: Requires a PhD with a 3.00 GPA in Heliophysics or Machine Learning or directly related 0-3 years: Must have experience using machine learning in either academic research or industry Must be proficient coding in python Experience working in interdisciplinary teams or a desire to work in teams Experience in software engineering and development of open-source tools is not required but should be able to learn Special Requirements:Work assignment is in Boulder, Colorado. This is a 1 year limited term assignment with an option to extend.

Keywords: Southwest Research Institute, Boulder , POSTDOCTORAL RESEARCHER - MACHINE LEARNING - BOULDER, COLORADO, Other , Boulder, Colorado

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