CIRES Post-Doctoral Associate in Machine Learning for Space Weather
The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities. Who We AreAt CIRES, more than 800 environmental scientists work to understand the dynamic Earth system, including people’s relationship with the planet. CIRES is a partnership of NOAA and CU Boulder, and our areas of expertise include weather and climate, changes at the Earth’s poles, air quality and atmospheric chemistry, water resources, and solid Earth sciences. Our vision is to be instrumental in ensuring a sustainable future environment by advancing the scientific and societal understanding of the Earth system.
https://cires.colorado.edu/What Your Key Responsibilities Will Be
- Develop a suite of machine learning models for application to the forecasting of specific space weather phenomena and relevant parameters (i.e. solar wind or ground magnetic field).
- Calibrate those models for meaningful probabilistic predictions.
- Validate the models, including comparison against physics-based models.
- Actively participate in other research activities within the project, possibly co-supervising students.
- Publish articles in international scientific journals and present results at scientific conferences.
The University of Colorado offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO Pass. The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment. Learn more about the University of Colorado Boulder.Be StatementsBe Accomplished. Be Collaborative. Be Boulder.What We Require
- Ph.D. in Physics, Mathematics, Computer Science or related field.
- Experience in Machine Learning, Bayesian Methods, and analysis of “Big Data”.
- Expertise in computer programming with Python (or similar) and the ability to generate distributable codes.
- An understanding of the physics of space weather, such as solar wind propagation or the geospace current system.
- Solar, Magnetospheric and Solar wind data analysis.
- A proven track record of conducting independent research, writing scientific papers and presenting results at conferences.
- A mentality for transformative research.
- Resume or CV.
- Cover letter addressed to the Search Committee briefly describing your qualifications, professional goals, and specific interest in this position.
- A representative and significant scientific publication.
- List of contact information for 3 references who will be willing to write a confidential Letter of Recommendation for you.
Review of applications will begin December 1, 2020. The position will remain open until filled.
Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.
Posting Contact InformationPosting Contact Name: Enrico CamporealePosting Contact Email: [email protected]