Careers

CIMMS Research Associate – Radar Software Engineering

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma is currently looking for a Research Associate to conduct collaborative research with the National Oceanic and Atmospheric Administration (NOAA) Office of Oceanic and Atmospheric Research (OAR) National Severe Storms Laboratory (NSSL) in Norman, Oklahoma. The Research Associate will contribute to various Research & Development activities within NSSL’s Radar Research and Development Division (RRDD) associated with the Multifunction Phased Array Radar (MPAR) program and the WSR-88D Radar Product Improvement program.

Duties:
1. Serve as a Radar Software Engineer within the Radar Research and Development Division (RRDD) of the National Severe Storms Laboratory (NSSL).
2. Work in an interdisciplinary team of engineers and scientists to plan, design, develop, test, and maintain software applications related to operational and experimental weather radars in support of CIMMS and NSSL’s missions.
3. Conduct research and evaluate emerging software technologies, assist with management of software-development projects, and document software-development work in the form of drawings, diagrams, and/or written text.
4. Perform related duties as assigned.

Minimum Qualifications:
1. A Master’s Degree in Electrical Engineering, Computer Engineering, Computer Science, Information Technology, Mathematics, or related area
2. Or a Bachelor’s Degree in Electrical Engineering, Computer Engineering, Computer Science, Information Technology, Mathematics, or related area, and at least three years’ experience in software engineering and development, or related area
3. Understanding of software design, development, and testing principles
4. Strong knowledge and experience in C and/or C++
5. Knowledge of Linux/Unix Operating System
6. Experience in programming engineering and/or scientific applications
7. Ability to work independently and as a part of a diverse team
8. Strong interpersonal communication skills (written and verbal)

Preferred Qualifications:
Applicants should identify experience and expertise with any of the following areas: all programming experience, such as Linux, Java and MATLAB, debugging and/or troubleshooting software using tools like gdb, ddd, valgrind, etc., testing complex software applications, programming with real-time embedded systems, programming firmware, and optimizing software.

Supervision will be provided by CIMMS staff. Technical oversight will be provided by CIMMS staff, and NSSL Federal staff and management. The incumbent will work under general supervision but is expected to determine action to be taken in handling all but unusual situations. Incumbents in this position are not expected to supervise other employees, but may serve as leaders

The salary for this position is competitive and will be based on experience, skills, and knowledge. Information on University benefits may be found at http://hr.ou.edu/Employees/New-Employees-at-OU/OU-Benefits-Overview.

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 REFERENCE: Radar Software
treinke@ou.edu

 


National Weather Center Research Scientist

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at University of Oklahoma (OU) seeks to fill a Research Scientist position for its collaborative research as a Cooperative Institute with the National Oceanic and Atmospheric Administration (NOAA) Office of Oceanic and Atmospheric Research (OAR) National Severe Storms Laboratory (NSSL) at the National Weather Center in Norman, Oklahoma. The Research Scientist will contribute to NSSL’s Warn-on-Forecast and Spectrum Efficient National Surveillance Radar (SENSR) research effort.

Background:

The SENSR is a replacement surveillance capability that seeks to address the reallocation and sharing of federal set-aside radio frequency spectrum, cross-agency mission efficiency, national radar consolidation and reduced overall life cycle cost. An important goal of this effort is to evaluate the impact of assimilating weather radar data collected by the adaptive and rapid-scan Phased Array Radar (PAR) technology, which is at least 4-5 times faster than the scanning rate of the current operational WSR-88D, on convective-scale forecasts, using the prototype Warn-on-Forecast system.  The incumbent in this position will study the impact of PAR storm observations on the convective-scale ensemble forecasting system’s depiction and forecast of storm location, motion, mode, attributes, etc. that ultimately may be used to increase warning lead times for threats related to severe and hazardous convective weather, e.g., tornadoes, flash floods, large hail and damaging winds. The work will be performed in close collaboration with scientists at OU’s Center for Analysis and Prediction of Storms (CAPS). The dynamic research and operational working environment at the National Weather Center will provide the candidate with ample opportunities for career advancement.

 Responsibilities:

The incumbent will conduct experiments on how to best assimilate high-temporal-resolution PAR storm observations in a convective-scale numerical model using an ensemble-based data assimilation approach.

The incumbent will publish the results in peer-reviewed literature and present them at conferences.

Required Qualifications:

  1. A Ph.D. Degree (or be in the final stages of dissertation completion before applying) in meteorology, atmospheric science or closely related area.
  2. Research experience with convective-scale numerical weather prediction (NWP) models (WRF-ARW), ensemble data assimilation software (e.g. GSI EnKF, DART) and severe convective weather.
  3. Experience with Linux (or Unix) operating systems, programming (e.g., Fortran, C, C++) and scripting (e.g. Python, NCL) skills.
  4. Excellent oral and written communication skills (including papers published in or submitted to refereed journals) and an ability to work both independently and cooperatively with others.

Salary will be competitive depending on experience and qualification with University of Oklahoma benefits. Information on benefits may be found at http://hr.ou.edu/Employees/New-Employees-at-OU/OU-Benefits-Overview. The start date for the position can be as early as May 1, 2017.

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
treinke@ou.edu
ATTN: SENSR



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