Job Information
University Corp. For Atmospheric Research (UCAR) Associate Data Scientist II in Boulder, Colorado
Job Description Summary:NCAR is currently hiring for the role of Associate Data Scientist II.
This position works closely with the Mauna Loa Solar Observatory (MLSO) science team to validate existing scientific image processing pipelines, work with the MLSO team on new data pipelines, assess data quality, develop and test new algorithms to improve MLSO data, and provide data tools for use by the community.
The Mauna Loa Solar Observatory acquires unique low and middle solar corona data from two coronagraphs: the Upgraded Coronal Multi-Channel Polarimeter (UCoMP) and the COSMO K-Coronagraph (K-Cor). These instruments provide observations of coronal plasma motions, thermal conditions, and plasma density and diagnostics of the coronal magnetic field. High-time cadence observations are also acquired to track the formation and dynamics of explosive events known as Coronal Mass Ejections (CMEs) that can drive radiation and geomagnetic storms on Earth. Position Details: Visa Sponsored Job:Yes
Relocation Assistance Eligible:No
Job Location: Boulder, Colorado
Position Type & Term:Full time, Regular
Compensation Range: Hiring Range: $79,698 - 99,624 Final salary and rates are based on education, experience, and skills relevant to the role. Application Notes Job Location:Boulder, CO
Job Type:Hybrid (2-3 days a week is required to be on-site)
Position Type & Term: Full-time, Regular
Work Authorization:Visa sponsorship IS availablefor this position
Relocation Assistance:is NOT availablefor this position
Application Deadline: October 30, 2024.
Required application materials: Resume
Background Checks: Conducted for candidates selected for hire.Learn more.
What You Will Do
Here is a brief summary of what one would expect to be generally responsible for in this role.
Work with the instrument scientists and MLSO team to develop science data products from new instrumentation.
Help develop higher-level MLSO data products and community software tools for all MLSO instruments. As necessary, support the data pipeline manager with reprocessing MLSO data.
Improve existing calibration algorithms and verify the quality of the final science data products to the community.
Design software noise filtering algorithms to enhance signal and reduce noise in MLSO data. Investigate the applicability of existing community software packages for removing atmospheric effects from the MLSO data.
Develop visualization tools for combining MLSO data with other ground-based and NASA data products and with model output for community use.
Create software to automatically detect solar activity, such as solar flares, in MLSO data. Modify existing coronal mass ejection (CME) detection software to work with a variety of MLSO images and use tools like machine learning to improve CME detection. Who We'd Love To Join Our Team
Successful candidates will ensure their application materials speak to the following criteria:
Education & Experience REQUIRED:
Bachelor's (or equivalent) degree in a discipline pertinent to an NCAR/UCAR scientific program, such as applied mathematics, computer science, physics/astrophysics, or atmospheric sciences.
Three years of experience in the analysis of scientific data sets, image processing, software development (Python required), scripting languages, and machine learning.
Education & Experience Desired but Not Required:
Previous experience with image calibration, data pipeline development, and creation of image visualization tools and applications.
Knowledge, Skills, and Abilities REQUIRED:
Knowledge of programming languages... For full info follow application link.
The University Corporation for Atmospheric Research (UCAR) is an equal opportunity/equal access/affirmative action employer that strives to develop and maintain a diverse workforce. UCAR is committed to providing equal
