CIRES/ NOAA Physical Sciences Laboratory Integrated Data Assimilation and Artificial Intelligence
The NOAA Physical Sciences Laboratory (PSL) seeks to fill a Research Associate position to develop novel data assimilation capabilities using new advances in artificial intelligence and machine learning. Research areas include model emulation, forecast error covariance estimation, assimilation of high-resolution satellite data, and enhancement of data assimilation solution methods. These will all be developed with the targeted goal of producing a coupled atmosphere-ocean data assimilation capability for applications such as hurricane forecasts and subseasonal-to-seasonal prediction.
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, the Cooperative Institute for Research in Environmental Sciences, 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 the University of Colorado 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.
Physical Sciences Laboratory website:
What Your Key Responsibilities Will Be
- Own an original effort in the development of new data assimilation methodologies that integrate artificial intelligence and machine learning.
- Perform supportive activities such as software development, conducting experiments using high-performance computing and cloud computing, and pre and post-processing of data as needed for analysis and visualization.
- Participate in regular discussion sessions with collaborators.
- Publish results in peer-reviewed journals.
What You Should Know
- This position will be rostered in CIRES at the University of Colorado Boulder but will be physically situated in the David Skaggs Research Center, 325 Broadway, Boulder, CO 80305. If you are the selected finalist you will be required to pass a federal laboratory background clearance for site access.
What We Can Offer
- CIRES can offer a generous compensation package. Salary is commensurate with education and experience and determined based on our CIRES internal career track classification.
- The annual hiring salary range for this position is $70,000.00 - $75,000.00.
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 Collaborative. Be Inclusive. Be Boulder.
What We Require
- A relevant Ph.D. degree is required for this role.
- Experience in one or more fields is required: Data Assimilation, Mathematical Optimization, Atmospheric or Oceanic Science, Applied Mathematics and Statistics, Computer Science, Computational Science, Artificial Intelligence / Machine Learning.
What You Will Need
- Experience with high performance computing and/or cloud computing.
- Knowledge of data assimilation (particularly ensemble and variational methods), mathematical optimization, or related AI methods (e.g. advanced applications of recurrent neural networks, computer vision scene reconstruction).
- Knowledge of dynamical systems or geophysical systems.
- Interest in geophysical AI applications.
What We Would Like You To Have
- Experience with forecasting in the Geosciences.
- Experience with data processing and data visualization.
- Experience with high-performance computing, including both CPU and GPU architectures.
- Experience with Python, C++, Fortran, or equivalent high-level languages.
- Experience with deep learning and related software tools such as Pytorch or Tensorflow.
To apply, please submit the following materials:
- Resume or CV
- Cover letter addressed to the Search Committee briefly describing your qualifications, professional goals, and specific interest in this position.
- List of contact information for 3 references who may be contacted on your behalf. You don’t need to include letters of recommendation with your application. If you are selected as a finalist for this role, we will also use Skillsurvey to check references. SkillSurvey is an online automated reference check solution.
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 as an optional attachment.
The position will be open until filled. Applications will be screened as they are received.
Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs .
Posting Contact Information
Posting Contact Name: Steve Penny
Posting Contact Email: firstname.lastname@example.org
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