The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO – https://ciwro.ou.edu/) is seeking a Research Associate with strong attention to detail and excellent software development skills to join the U.S. Department of Energy’s (DOE) Atmospheric Radiation Measurement (ARM) Program Data Quality Office (DQO), located in the National Weather Center at the University of Oklahoma in Norman, Oklahoma.
The DQO (http://dq.arm.gov/) is seeking a versatile individual with experience in Machine Learning to lead development of new software techniques to analyze and detect failures in research grade atmospheric science data collected from multiple deployments throughout the world. The primary responsibility of the position is to implement established machine learning techniques into the existing DQO infrastructure able to detect failures and alert staff from collected data.
The DQO supports the ARM Program (https://arm.gov/) by serving as the first line of defense in discovering data quality issues with the final goal of providing the science community with the highest quality data possible. The primary responsibilities of the DQO are, in close cooperation with other members of the ARM infrastructure, to create automated processes for assessment of data quality, inspect and assess the data, document detected problems, participate in their resolution, and communicate data quality findings to end-users of ARM data. Members of the DQO are active in many different areas of the data flow process, such as enforcing standards for data products, creating the software necessary to visualize and quality control the data, and helping to convey information about known problems to data users.
Duties and Responsibilities:
- Develop, train, and test models for suspect data quality detection using ML approaches
- Develop and maintain Python software for displaying, inspecting, and assessing ARM data
- Work with other ARM personnel to improve and develop new data quality analysis techniques and visualizations
- Facilitate problem resolution and communication of data quality problems with ARM infrastructure
- Help mentor undergraduate student analysts who assist in the analysis of ARM data
- Participate in relevant data quality research projects as opportunities arise
- Represent the DQO at meetings and conferences
Required Skills and Qualifications:
- M.S. in atmospheric science, earth system science, meteorology, computer science, engineering or related field, or a B.S. in the same plus two years of relevant work experience
- Familiarity with command-line Linux environments
- Experience with Git and collaborative software development
- Experience with deep learning frameworks such as PyTorch, Tensorflow, etc.
Preference Will be Given to Applicants With:
- Data quality analysis background, particularly with large datasets and automated techniques
- Proficiency with relational databases such as mySQL or PostgreSQL
- Experience performing data analysis and visualization
- Experience with scientific data formats such as netCDF
- Knowledge, experience, or previous education focusing on meteorological instrumentation, atmospheric chemistry and/or aerosols, radar, lidar, or atmospheric fluxes as well as associated data quality topics
- Experience with open-source development
The beginning salary will be competitive for this position and location, and will be dependent on experience. The University of Oklahoma provides a generous benefits package. Information on benefits may be found at https://hr.ou.edu/Employees. The position will remain open until a suitable candidate is identified.
To apply for the position, please forward your resume, cover letter and list of three references to: University of Oklahoma
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304 firstname.lastname@example.org Job Requisition – ARM Data Quality
The University of Oklahoma is an equal opportunity/Affirmative Action employer