Careers


University of Oklahoma Post-Doctoral Research Associate

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) seeks to fill a Post-Doctoral Research Associate position for 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 Post-Doc will contribute to NSSL’s Warn-on-Forecast (WoF) program.

Background:
The WoF program is tasked with developing a regional (resolution of order 0.5-1 km) storm-scale prediction system that assimilates radar, satellite, and surface data, while generating new 0-3 h probabilistic forecasts 2-3 times an hour. Current computational resources have permitted testing the forecast value from a real-time storm-scale prediction WoF system employing 3 km grid resolution. A consequence of this grid resolution has been to focus primarily on isolated supercell thunderstorms (which can be grossly represented). It is important for future research to evaluate the forecast value when data assimilation and subsequent forecasting is performed at increasing model resolution, and to expand upon recent efforts with a greater focus on other hazardous weather phenomena, such as thunderstorm rotation and high winds associated mesoscale convective systems.

Responsibilities:
The incumbent will help test storm-scale ensemble-based data assimilation at increased model resolutions using ~1 km grid resolution and evaluate the impacts on forecast accuracy relative to current model resolutions utilized, with an expanded focus on mesoscale convective organization. The incumbent will publish the results in peer-reviewed literature and present at conferences. The incumbent will have the opportunity to use 20% of their time to pursue projects of their interest that are related to storm-scale prediction or convective-scale dynamics.

Required Qualifications:
1. A Ph.D. Degree (or be in the final stages of dissertation completion before applying) in meteorology, atmospheric
science or related area.
2. Research experience with storm-scale numerical weather prediction models and ensemble data assimilation
3. Experience with Linux (or Unix) operating systems, programming (e.g., Fortran, C, C++) and scripting (e.g.
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.

The beginning salary range will be commiserate based on qualifications with University of Oklahoma benefits.

Information on benefits may be found at http://hr.ou.edu/Employees/New-Employees-at-OU/OU-Benefits-
Overview. Start date for the position will be as soon as the candidate can begin work. The position will remain open until filled.

This position is a full-time, one-year appointment and is funded by a partnership between NOAA and the University of Oklahoma through CIMMS. The appointee will serve a customary probationary period during the first year, after which the appointment would be extended for up to two additional years subject to satisfactory performance and the continued funding availability.

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: WoF PostDoc


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

 


 


Hazardous Weather Testbed Research Associate

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at the University of Oklahoma (OU) is currently looking for a Research Associate to provide scientific and meteorological expertise, and technical support for annual NOAA/Hazardous Weather Testbed (HWT) Spring Forecasting Experiments (SFEs), and real-time, year-round experimental prediction systems. A key focus will include development of web-based visualization tools to support/enhance SFE activities and post-experiment analysis and verification of convection-allowing ensembles used in the SFEs. The position will be based at the National Severe Storms Laboratory (NSSL) in Norman, OK within the National Weather Center, a high collaborative forecasting, research, and academic environment containing a number of NOAA and OU organizations. As this unique position will serve the interests of both the NSSL and Storm Prediction Center (SPC), the incumbent will work directly with research scientists at NSSL and development meteorologists/operational forecasters at SPC.

The principal duties of this position are:
1. Enhance and develop web-based visualization of real-time ensemble data for NOAA/HWT SFEs, as well as real-time, year-round systems like the Storm Scale Ensemble of Opportunity (SSEO) and NSSL-WRF.
2. Conduct post-experiment analyses/verification of convection-allowing ensembles from Community Leveraged Unified Ensemble (CLUE) experiments, subjective model evaluations, and other experimental and operational systems used in the SFE.
3. Support, develop, and enhance SFE core activities including acceleration of new tools from research to operations, inspiring new initiatives for operationally relevant research, and identifying and documenting sensitivities and performance of state-of-the art convection-allowing models and ensembles.
4. As needed, represent CIMMS/NSSL/SPC by contributing to scientific publications and attending off-site conferences, workshops, symposia and hazardous-weather-related outreach events.

The minimum qualifications for the position are:
1. A Master’s Degree in Meteorology, Atmospheric Science, or related area.
2. Emphasis will be place on applicants with knowledge and experience in web design and model visualization, as well as knowledge in severe storms meteorology, numerical weather prediction models/ensemble systems including convection-allowing models and application of statistical techniques for forecast verification.

Excellent oral and written communication and public speaking skills are highly desired, as well as proficiency in Python, and a strong understanding of JavaScript, PHP, CSS stylesheets, and how to implement dynamic data visualizations through D3. Applicants should identify experience in web development, graphic design/visualization, programming and scripting languages, numerical weather prediction, and Linux (Unix) environments including AWIPS/N-AWIPS.

Normal working hours will be observed except for occasional irregular hours during data collection, warning/forecast experiments or workshops conducted at remote sites. CIMMS staff will provide general supervision with technical oversight provided by NSSL and SPC scientific staff and management. The incumbent works under general supervision, but is expected to work independently and determine action to be taken in handling all but unusual situations.

The beginning salary is commensurate with educational background and experience, with OU benefits. Information on OU benefits can 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
treinke@ou.edu
Attn: HWT


CIMMS Research Associate – SPC Satellite Meteorologist

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma (OU) is currently looking for a Research Associate to provide leadership, satellite expertise, and meteorological support for the GOES-R Proving Ground effort based at the NOAA/NWS Storm Prediction Center (SPC).  The SPC is located at the National Weather Center (NWC) in Norman, OK, a highly collaborative environment containing a number of NOAA and OU organizations, including the National Severe Storms Laboratory, NWS Warning Decision Training Division, NWS Forecast Office, OU School of Meteorology, and OU Center for Analysis and Prediction of Storms.  This project will include activities focused to maximize the diagnostic and forecast value of geostationary satellite data and products.   The incumbent will interact with NWS operational forecasters to prepare them for new satellite dependent products that will become operationally available after the launch of GOES-R.

The principal duties of this position are:

  1. Serve as a “Satellite Liaison” at the SPC and the Hazardous Weather Testbed (HWT), leading GOES-R Proving Ground efforts on satellite based hazardous weather products and demonstrating the unique and complementary value of satellite information to forecasters;
  2. Develop and/or document satellite dependent forecast and analysis tools and training focused on the specific needs of hazardous weather forecasters; up to 20% of time may be used to conduct applied research on GOES-R products applicable to improving severe weather forecasting, nowcasting, or warning decision-making;
  3. Test and validate proposed new satellite dependent products and decision aids for forecasters with an emphasis on exploring the value of advanced satellite products for detection and short-term prediction of convective storms and associated hazards;
  4. Serve as “implementation expert” for selected planned GOES-R products and their proxies;
  5. Participate in HWT experiments including the annual Spring Forecast Experiment serving as the focal point for satellite centered activities;
  6. Provide satellite expertise to the logistical support of any field experiments headquartered out of the National Weather Center;
  7. Bridge satellite-related activities between the Warn-on-Forecast program and the NWS and NESDIS.
  8. Represent the GOES-R effort within the HWT by contributing to formal scientific publications, and/or attending off-site conferences, symposia and hazardous weather related outreach events;
  9. Develop synergy and shared accomplishments with the NOAA Testbeds and the GOES-R Proving Grounds collocated with the Aviation Weather Center in Kansas City, MO, the NESDIS Satellite Analysis Branch-Weather Prediction Center-Ocean Prediction Center in College Park, MD, and the NWS OCONUS Regional Headquarters in Anchorage, AK and Honolulu, HI .
  10. Enhance collaborations with the Cooperative Institute for Meteorological Satellite Studies/University of Wisconsin, Cooperative Institute for Research into the Atmosphere/Colorado State University, and the NASA/Short-term Prediction Research and Prediction Center to test, evaluate, and /or provide feedback on new satellite-based tools and products related to convective storm and fire weather applications.
  11. Perform related duties as assigned.

The minimum qualifications for the position are:

  1. A Master’s or PhD Degree in Meteorology, Atmospheric Science or related area and at least one year experience in operational meteorology or applied research; additional post-graduate education may be substituted for experience.
  2. Emphasis will be placed on applicants with considerable experience in satellite meteorology, and its application to hazardous weather prediction, including deep convection, high resolution numerical models, and ensemble prediction systems.

Applicants should identify their demonstrated expertise with Satellite Meteorology and any of the following areas: Severe Thunderstorms; Numerical Modeling; Ensemble Systems and Probabilistic Forecasting; Warning Decision Making; and Fire Weather Meteorology.   Excellent oral and written communication skills are highly desired and a strong ability to work in a collaborative team environment is needed for the position. Please describe experience with Linux (or UNIX) operating systems, software skills including programming and scripting languages, web page development, graphic design or illustration, and AWIPS2/N-AWIPS workstations.

Normal working hours will be observed except for occasional irregular hours during data collection, warning/forecast experiments or workshops conducted at remote sites.   The incumbent will receive training and gain expertise in warning and forecasting decision-making.

The new hire will be employed by CIMMS with technical oversight provided by SPC management. The incumbent works under general supervision but is expected to work independently and determine action to be taken in handling all but unusual situations.  This is a non-supervisory position, although the incumbent is expected to serve as a leader of scientific or technical experiments, groups, or teams; therefore strong teamwork and leadership skills are necessary.  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
treinke@ou.edu
ATTN: GOES-R


Research Associate – Severe Weather Warning Decision Making

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma is currently seeking a Research Associate to collaborate with scientists and instructors at the National Weather Service (NWS) Warning Decision Training Division (WDTD) in Norman, OK, on training for severe weather warning decision making.

The duties of this position are:

  • Integration of NWS operational warning decision making principles of science, technology, and human factors into support of training development and delivery.
  • Collaborate with WDTD instructors in a project-based environment to develop and deliver training on the WSR-88D and its applications to meteorological and hydrological operations.
  • Develop technical expertise with AWIPS-2; products and applications with respect to WSR-88D, MRMS, satellite, lightning and convective-allowing models; and the warning decision-making process.
  • Acquire skills in operation of Linux and Windows workstations to support development of simulations and other tools for warning decision-making training.
  • Participate in experimental warning/forecast exercises and WDTD training workshops.
  • Attend meetings and professional conferences to become knowledgeable of new meteorological applications and to interact with the applied-research community.
  • Review technical/professional publications and attend seminars to stay abreast of current developments in meteorological applications.
  • Perform related duties as assigned.

The minimum qualifications for the position are:

  • A Master’s Degree in Meteorology, Atmospheric Science, or related area; or
  • A Bachelor’s Degree in Meteorology, Atmospheric Science, or related area and at least three years’ experience in operational meteorology or applied research.

Emphasis will be place on applicants with severe weather experience.

Applicants should identify expertise within any of the following areas: experience in teaching/training; operational experience related to severe weather forecasting and warning, including winter weather forecasting techniques; warning-related inputs such as radar, satellite, lightning, and storm-scale models; weather analysis software (such as AWIPS); graphic design or illustration; project management/teamwork; oral and written communication, including collaboration tools; Linux (or Unix) operating systems; programming skills (Python, JAVA, object oriented programming, GIS-based, web-based, etc.); human factors and human performance technology.

Normal working hours will be observed except for occasional irregular hours during data collection, warning/forecast experiments, or workshops conducted at remote sites. Incumbents will receive training and gain expertise in the latest training technology and warning decision-making methodologies.

Supervision will be provided by CIMMS staff.  Technical oversight will be provided by CIMMS staff, NWS meteorologists, and WDTD 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 of technical teams.

The beginning salary will be commensurate with experience with University of Oklahoma benefits.  Information on 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
treinke@ou.edu
JOB REFERENCE: WDTD – Severe Weather

 



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