The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO; formerly CIMMS) at the University of Oklahoma is currently seeking a Research Associate to work as a member of the Doppler Radar and Remote Sensing Research (DRARSR) team within CIWRO at the National Severe Storms Laboratory (NSSL). DRARSR works closely with the Radar Operations Center (ROC) and other partners to develop and transition to operations scientific applications, algorithms, and applied research that advance the suite of weather radar products available operationally to the National Weather Service forecasters. The transition of applications requires that software be written using ROC coding requirements. DRARSR also leads research on phased array radar, which is being explored as a next-generation system for NOAA. This position also includes working with scientists to evaluate the data quality and rapid- and adaptive-scanning benefits of the Advanced Technology Demonstrator, an experimental dual-polarization phased array radar. This position will work in Norman, Oklahoma at the National Weather Center (NWC), a highly collaborative operational, research and academic environment.
The duties of this position are:
- Work with CIWRO and NSSL personnel to transition scientific algorithms developed with support from the NEXRAD Radar Product Improvement (RPI) program into their operational prototypes.
- Participate in the development of radar-based meteorological algorithms by testing and providing necessary feedback to scientists and algorithm developers.
- Participate in the development of radar-based meteorological algorithms by providing and processing data as requested to scientists and algorithm developers.
- Provide input and share accomplishments on basic and applied research activities, software development, and the use of novel software products.
- Attend relevant meetings and develop presentations on the work being performed. Stay up to date on related software and participate in planning future work and enhancements.
Supervision will be provided by CIWRO staff. Technical oversight will be provided by CIWRO staff and NSSL Federal staff. This is non-supervisory position although the incumbent may serve as a leader of technical teams. The beginning salary will be commensurate with experience and qualifications with University of Oklahoma benefits. Information on benefits may be found at http://hr.ou.edu/Employees.
- A Bachelor’s Degree with at least three (3) years of full-time related experience or Master’s Degree in Computer Science, Meteorology or related area
- Ability to work in the Linux operating system (advanced function test).
- Ability to program independently in C or C++, Perl and/or Python (code sample required).
- Ability to use GIT code repositories
- Understanding of dual-polarization weather radar
- 3 years of experience using Linux, C, C++, Perl, and Python
- Basic understanding of the National Weather Service process for issuing severe weather warnings
- Ability to learn and describe Doppler and polarimetric radar variables and their functions, and to learn and recognize basic radar weather signatures including melting layer, ground clutter, storm types, freezing rain, zero Doppler isodop, etc.
- Good presentation, technical writing skills, and reporting habits
To apply for the position, please forward your resume, cover letter and list of three references to:
University of Oklahoma CIWRO
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
ATTN: Radar Applications Developer
The University of Oklahoma is an Equal Opportunity/Affirmative Action employer.
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