CIRES Post-Doctoral Associate in Machine Learning for Space Weather

Requisition Number: 37501
Location: Boulder, Colorado
Employment Type: Research Faculty
Schedule: Full Time
Posting Close Date:
Date Posted: 03-Aug-2022

Job Summary
The Cooperative Institute for Research in Environmental Sciences (CIRES) encourages applications for a full-time Post-Doctoral Associate to work on the development, validation, and calibration of space weather models, using machine learning and physics-based models. This position contributes to a NASA-funded project within the ‘Space Weather with Quantified Uncertainty' program. The main objective will be to deliver probabilistic space weather forecasts with their associated uncertainties. In particular, this position will focus on the forecast of solar wind quantities (speed and magnetic field). The position will involve close collaboration with other post-docs, students, and senior members of the project, which are divided between CIRES, the Computer Science Department and the Space Weather Technology, Research, and Education Center (SWx-TREC) at CU Boulder, and the space physics group at the University of California, Los Angeles. The position will be primarily based at CU Boulder, although remote working can be considered.

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 Are
At 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.


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 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.

What You Should Know

• The initial term of this position is 2 years, with the possibility of extension subject to performance and availability of funding.
• Due to NASA funding restrictions, candidates who have paid or unpaid appointments or positions with Chinese Government organizations, Chinese Government controlled organizations, Chinese-owned companies, or any company incorporated under the laws of the People’s Republic of China are ineligible for hire.
• All University of Colorado Boulder employees are required to comply with the campus COVID-19 vaccine requirement. New employees must provide proof of vaccination or receive a medical or religious exemption within 30 days of employment.

What We Can Offer

• CIRES can offer a generous compensation package.
• The annual hiring salary range for this position is $55,000 - $62,000. Salary is commensurate with education and experience and determined based on our CIRES internal career track classification.
• Some relocation funds are available for this position following CIRES and the University of Colorado’s relocation processes and procedures.

Benefits 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 Statements Be ambitious. Be groundbreaking. 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.

What We Would Like You To Have

• 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.

Special Instructions
To apply, please submit the following materials:

1. Resume or CV.
2. Cover letter addressed to the Search Committee briefly describing your qualifications, professional goals, and specific interest in this position.
3. A representative and significant scientific publication.
4. List of contact information for 3 references who will be willing to write a confidential Letter of Recommendation for you. If you are identified as a finalist, the search committee will request letters of recommendation on your behalf.

If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources department using an approved online vendor. If your degree was obtained outside of the United States, please submit a translated version (if applicable) as an optional attachment.

Applications received by August 31st, 2022 will receive full consideration. The position will remain open until finalists have been identified.

Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.


To apply, visit https://jobs.colorado.edu/jobs/JobDetail/CIRES-Post-Doctoral-Associate-in-Machine-Learning-for-Space-Weather/37501







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