CIMMS Research Scientist – SENSR

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) seeks to fill a Research Scientist position for projects funded by the National Oceanic and Atmospheric Administration (NOAA) Office of Oceanic and Atmospheric Research (OAR) National Severe Storms Laboratory (NSSL). The Research Scientist will participate in NSSL’s Multifunction Phased Array Radar (MPAR) program and related Spectrum Efficient National Surveillance Radar (SENSR) research.


NOAA and other agencies are developing concepts and performing risk reduction for a next-generation Multifunction Phased Array Radar. MPAR could subsume current national operational radar functions including surveillance for civil aviation, airport wind shear detection, severe weather observation and warning, quantitative precipitation monitoring and air-domain security. MPAR will exploit highly digital, active electronically scanned array technology to perform these missions. Critical challenges include maintaining the high data quality provided by the current operational weather radars (WSR-88D), developing efficient scanning strategies and achieving accurate dual-polarization observations in spite of inherent biases associated with array radars. The incumbent in this position will focus on developing and validating technical approaches in these areas through a combination of analysis, simulation and field measurement.


The incumbent will develop and assess techniques that exploit MPAR’s digital array architecture for calibration, data quality compensation and effective, multi-mission scanning. As appropriate, he/she will exploit test assets at NSSL, OU or industry facilities to perform measurements and quantitative analysis of these techniques. Assets available for this research include scaled (~1000 element) active arrays with both planar and cylindrical geometries, a future “Advanced Technology Demonstrator” – a large-scale polarimetric planar array radar, fixed and mobile conventional polarimetric weather radars, and a growing corpus of analysis, simulation and modeling software. It is expected that the incumbent will contribute to the development and effective utilization of these assets in addressing key meteorological phased array radar research challenges. He/she will publish results of their research in peer-reviewed literatures and present at conferences.

Required Qualifications:

1. A Ph.D. degree (or be in the final stages of dissertation completion before applying) in electrical and computer engineering, observational atmospheric science or related area.
2. Research experience with weather radar system development, signal and data processing techniques and observational studies.
3. Experience with Linux/Unix operating systems. Strong software design and programming (Matlab, C, C++, Java) skills and scripting (Python) familiarity.
4. Excellent oral and written communication skills (including papers published in, or submitted to refereed journals).
5. An ability to work both independently and cooperatively with others.

The beginning salary will be based on qualifications and experience, with benefits provided through the University of Oklahoma ( The start date for the position is negotiable.

This position is a full-time appointment funded by grants from NOAA. The appointment is contingent on passing a Department of Commerce/NOAA background check. The appointee will serve a customary probationary period during the first year.

To apply, please forward your resume, cover letter and contact information for three references to:

Tracy Reinke, Executive Director, Finance and Operations
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
ATTN: SENSR Research Scientist October 2017

CIMMS Research Associate – MRMS

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) seeks to fill a Research Associate position for its collaborative research with scientists in the National Severe Storms Laboratory (NSSL) in Norman, Oklahoma. The incumbent will contribute to NSSL’s Multi-Radar Multi-Sensor (MRMS) project (


NSSL in collaboration with CIMMS has developed an operational Multi-Radar Multi-Sensor (MRMS) system that assimilates radar, rain gauge, lightning, satellite and atmospheric environmental data and generates 1-km and 2-min resolution severe weather and quantitative precipitation estimation (QPE) products. The high-resolution precipitation products are critical for flood/flash flood warnings and for water resource management.

The principal duties of this position are:

1. Maintain and enhance the current radar-based QPE product suite in the MRMS system

2. Develop a dual-polarization radar based winter QPE

3. Participate in a long-term re-analysis of high-resolution MRMS QPE products.

4. Attend meetings and professional conferences to present research results and contribute to technical documents and scientific publications.

The minimum qualifications for the position are:

  • A MS in Meteorology, Atmospheric Science, Physics, Computer Science or related area.
  • Emphasis will be placed on applicants with scientific programming experience on UNIX/Linux using a high-level language (e.g. C++, Java, Python) and/or applicants with some experience with machine learning.

Applicants should identify experience with analysis and interpretation of weather radar and model data.  Excellent oral and written communication skills are highly desired.

Supervision will be provided by CIMMS staff.  Technical oversight will be provided by NSSL Federal staff and management.  This is a 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

To apply for the position, please forward your resume, cover letter and list of three references to:

Tracy Reinke
Executive Director, Finance and Operations
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
ATTN: MRMS Research Associate

CIMMS Research Associate – Data Quality Analyst

The Cooperative Institute for Mesoscale Meteorological Studies at the University of Oklahoma is seeking a Data Quality Analyst with strong attention to detail and excellent programming skills to join the U.S. Department of Energy’s (DOE) Atmospheric Radiation Measurement (ARM) Program Data Quality (DQ) Office located in the National Weather Center at the University of Oklahoma in Norman, Oklahoma. The DQ Office Supports the ARM Program by serving as the first line of defense in finding data quality issues with the final goal of providing the science community with the highest quality data possible.  The primary responsibilities of the DQ Office are, in close cooperation with ARM instrument mentors, site operators, and other members of the ARM infrastructure,  to create automated processes for inspection and assessment of data quality, report detected  problems and contribute to their resolution, and communicate data quality findings to end-users of ARM data. Members of the DQ Office 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.

The duties of this position are:

  • Develop software for displaying, inspecting, and assessing ARM data
  • Help maintain and improve our web-based tools
  • Work with 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
  • Mentor undergraduate student analysts who assist in the analysis of ARM data
  • Participate in relevant research projects as opportunities arise
  • Represent the DQ Office at meetings and conferences
  • Perform related duties as assigned

The minimum qualifications for this position are:

  • S. in atmospheric science, earth system science, meteorology, or related field
  • Strong computer programming skills, particularly in command-line Linux or UNIX environments

Preference will be given to applicants with:

  • Knowledge, experience, or previous education focusing on atmospheric chemistry and/or aerosols, and meteorological instrumentation
  • Experience or familiarity with meteorological or model data analysis, including scientific data formats such as NetCDF, HDF, or GRIB
  • Experience with programming languages such as Python, IDL, Matlab, Perl, or R
  • Knowledgeable in new and emerging programming techniques, such as machine learning or big data analysis
  • Experience with revision control systems such as Git or SVN
  • Experience with web programming (Javascript, PHP, HTML, CGI, etc.)

The beginning salary will be competitive for this position, and be dependent on experience.  The University of Oklahoma provides a generous benefits package. Information on benefits may be found at 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:

Tracy Reinke
Executive Director, Finance and Operations
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
Job Requisition – ARM Data Quality

The University of Oklahoma is an equal opportunity / affirmative action employer.