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Research Positions

CIWRO Research Associate – AWIPS Training

The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) at the University of Oklahoma seeks to fill a Research Associate position to support the Warning Decision Training Division of the National Weather Service (NWS) in Norman, OK. This position focuses on helping to train NWS forecasters in using cutting-edge improvements to the software they use to analyze data and issue warnings and forecasts. 

Primary Duties. The principal duties of this position are:

  • Development of technical expertise with AWIPS-2 (Advanced Weather Information Processing System) including content of new builds
  • Collaboration with WDTD instructors on creating training materials on AWIPS-2 with emphasis on tools related to warning decision making
  • Collaboration with the AWIPS user and development communities
  • Acquiring skills in Linux and Windows workstations, cloud-based computing environments, and training authoring software, including helping to develop warning-related case studies and simulations
  • Participate in WDTD training workshops 

Additional Duties:

  • Attend meetings and conferences to gain knowledge of new meteorological applications and methodologies and interact with the operations and applied research communities
  • Review publications to stay abreast of warning-related developments
  • Additional related duties as assigned

Required Qualifications:

  • A Master’s degree or higher in Meteorology, Atmospheric Science, Computer Science, or related area
  • Excellent oral and written communication skills
  • Ability to work and communicate effectively in diverse team environments
  • Ability to pass a federal background check. U.S. Citizenship or Permanent Residency is required

Desired Skills:

  • Strong web programming (e.g., HTML, XML) skills 
  • Experience in teaching/training and/or developing training or technical documentation
  • Experience with Python and/or Bash shell scripting
  • Experience with Linux (or Unix) operating system
  • Operational experience related to severe weather forecasting and warning
  • Knowledge of warning-related inputs such as radar, satellite, lighting, storm-scale or convective-allowing models
  • Experience with graphic design
  • Knowledge of human factors and human performance technology
  • Experience with providing technical support to customers

Impact. The employee in this position interacts directly with forecasters from over 100 NWS forecast offices across the United States. The work performed by this position informs forecasters about new technologies and methodologies and thus positively affects their efforts in issuing warnings and forecasts to protect the American public. The employee also potentially has the opportunity to shape AWIPS itself through community collaborations.

Additional Information. 

  • Normal working hours will be routinely observed with some occasional irregular hours around workshops and other potential activities. Incumbents will receive training and gain expertise in the latest training technology and warning decision-making methodologies used by the NWS.
  • Supervision will be provided by CIWRO staff. Technical oversight will be provided by CIWRO 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.

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

CIWRO Careers

 University of Oklahoma CIWRO

120 David L. Boren Blvd., Suite 2100 Norman, OK 73072-7304

ciwro-careers@ou.edu

JOB REFERENCE: WDTD – AWIPS

The University of Oklahoma is an equal opportunity/Affirmative Action employer.

CIWRO Research Associate - Cloud Data Archive Specialist

The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) at the University of Oklahoma seeks to fill a Research Associate position to support the Warning Decision Training Division (WDTD) of the National Weather Service (NWS) in Norman, OK. This position focuses on helping NWS offices in utilizing a centralized cloud data archive for simulation-based training and other related purposes. In particular, this position will assist offices in populating and managing a national case repository for use with the cloud-based Weather Event Simulator.

 

Primary Duties:

  • Development of technical expertise with cloud-based AWIPS-2 (Advanced Weather Information Processing System) and the cloud-based Weather Event Simulator (WES)
  • Developing technical expertise in meteorological data formats and associated archives
  • Collaboration with NWS field office staff in using the archived data and cloud-based WES to build cloud simulations along with providing technical assistance
  • Acquiring skills in Linux and Windows workstations, cloud-based computing environments, and training authoring software, including helping to develop warning-related case studies and simulations
  • Participate in WDTD training workshops

 

Additional Duties:

  • Attend meetings and conferences to gain knowledge of new meteorological applications and methodologies and interact with the operations and applied research communities
  • Review publications to stay abreast of warning-related developments
  • Additional related duties as assigned

 

Required Qualifications:

  • A Master’s degree or higher in Meteorology, Atmospheric Science, Computer Science, or related area
  • Excellent oral and written communication skills
  • Ability to work and communicate effectively in diverse team environments
  • Ability to pass a federal background check. U.S. Citizenship or Permanent Residency is required to access computer networks

 

Desired Skills:

  • Experience in teaching/training and/or developing training or technical documentation
  • Experience with Python and/or Bash shell scripting
  • Experience with Linux (or Unix) operating system
  • Knowledge of warning-related inputs such as radar, satellite, lighting, storm-scale or convective-allowing models
  • Experience in providing technical support to customers

 

Impact:

The employee in this position interacts directly with training officers from over 100 NWS forecast offices across the United States. The work performed by this position helps each office fulfill their annual training requirements and ultimately assists the forecasters in building and maintaining warning and forecast expertise.

 

Additional Information.

  • Normal working hours will be routinely observed with some occasional irregular hours around workshops and other potential activities. Incumbents will receive training and gain expertise in the latest training technology and warning decision-making methodologies.
  •  

  • Supervision will be provided by CIWRO staff. Technical oversight will be provided by CIWRO 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 based on qualifications and experience with a generous University benefits package. Information on insurance and retirement benefits may be found at https://hr.ou.edu. The position will be located at the National Weather Center (https://www.ou.edu/nwc) in Norman, OK (see https://visitnorman.com and https://www.normanok.gov/about-norman) with a negotiable start date and will remain open until filled.

 

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

 

CIWRO Careers

University of Oklahoma CIWRO

120 David L. Boren Blvd., Suite 2100 Norman, OK 73072-7304 ciwro-careers@ou.edu

JOB REFERENCE: WDTD – Archive Specialist

 

The University of Oklahoma is an equal opportunity/Affirmative Action employer

CIWRO Research Associate: Advanced Radar Techniques Team

Position Description

This is a career-track MS-level research associate position on the Advanced Radar Techniques Team at the Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO, formerly CIMMS) at the University of Oklahoma (OU) in collaboration with NOAA’s National Severe Storms Laboratory.


Overview

The incumbent will contribute to research and development in the field of weather radar technology. The ideal candidate is someone who wants to be part of a highly collaborative team and is interested in developing cutting-edge weather-radar technology. The position is based at the National Weather Center in Norman, OK (bit.ly/oklanwc). This position offers the opportunity for career development in the form of promotion opportunities, the ability to contribute to the NOAA mission on a wide range of topics, visibility in the broader field at conferences and technical meetings, and a rewards/merits system that acknowledges professional excellence.

The Advanced Radar Techniques team is a highly energetic group of scientists and engineers who conduct research and development of innovative signal-processing and remote-sensing techniques to improve the quality of meteorological products from weather radars. Our mission includes the exploration, implementation, and demonstration of unique capabilities offered by phased-array radar for weather observations; and the transfer of technology to existing radar systems in government, public, and private organizations. The incumbent will have the opportunity to contribute to existing projects as well as engage in relevant novel ideas of their own. For more information on group activities visit: bit.ly/ciwroart.


Job Responsibilities

  • Work in an interdisciplinary team to develop weather-radar signal processing techniques.
  • Work in an interdisciplinary team to design, implement, and demonstrate advanced weather-sensing techniques using phased-array radar systems.
  • Support research and development efforts in one or more technical areas.
  • Engage the broader research community through public dissemination of research.


Qualifications

  • United States citizenship or permanent residency.
  • A Master’s degree in Electrical Engineering (or related field) or a BS degree in Electrical Engineering (or related field) plus two years of relevant work experience.
  • Expertise in digital signal processing.
  • Proficiency and demonstrated experience developing simulations (preferably using MATLAB).
  • Excellent oral and written communication skills.
  • Ability to work and communicate effectively in diverse team environments.

This position does not require specialized knowledge of remote sensing, radar systems, or atmospheric science.


Salary/Benefits

The salary is based on experience and includes university benefits (http://hr.ou.edu/). Other benefits include

  • Reduced membership at OU’s 80,000 sq. ft. fitness and aquatic center (https://www.ou.edu/far).
  • Flexible work hours in a hybrid work environment.
  • Generous paid leave.


Work/Life Balance at CIWRO

  • CIWRO supports a diverse, non-discriminatory workforce that respects the culture, beliefs, and practices of all employees.
  • Flexible work hours, a hybrid work environment, and easy area commutes enable employees to address personal needs without sacrificing paid leave.
  • CIWRO's structured career-track program allows for advancement and professional prestige while maintaining a healthy work/life balance.


Living in Norman, OK

  • Norman is a beautiful small city with a burgeoning arts movement, lively concert series, and numerous athletic events.
  • Normans’ cost of living is very low (bit.ly/livenorman), allowing CIWRO employees to live within about a 10-minute drive of the National Weather Center.
  • Big-city amenities are only a 20-30-minute drive away. Several nearby lakes and nature preserves offer additional recreation and entertainment.


How to Apply

Send a statement of interest highlighting how you meet the position qualifications, your resume/CV, and a list of three professional references to: ciwro-careers@ou.edu. Enter in subject line: ATTN: RA - Advanced Radar Techniques Team. For more information about this position, please contact Dr. Sebastian Torres (sebas@ou.edu)

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

CIWRO Research Scientist: Advanced Radar Techniques Team

Position Description

This is a career-track PhD-level research scientist position on the Advanced Radar Techniques Team at the Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO, formerly CIMMS) at the University of Oklahoma (OU) in collaboration with NOAA’s National Severe Storms Laboratory.


Overview

The incumbent will contribute to research and development in the field of weather radar technology. The ideal candidate is someone who wants to be part of a highly collaborative team, is interested in developing cutting-edge weather-radar technology, and is excited about presenting and publishing their research. The position is based at the National Weather Center in Norman, OK (bit.ly/oklanwc). This position offers the opportunity for career development in the form of promotion opportunities, the ability to contribute to the NOAA mission on a wide range of topics, visibility in the broader field at conferences and technical meetings, and a rewards/merits system that acknowledges professional excellence.

The Advanced Radar Techniques team is a highly energetic group of scientists and engineers who conduct research and development of innovative signal-processing and remote-sensing techniques to improve the quality of meteorological products from weather radars. Our mission includes the exploration, implementation, and demonstration of unique capabilities offered by phased-array radar for weather observations; and the transfer of technology to existing radar systems in government, public, and private organizations. The incumbent will have the opportunity to contribute to existing projects as well as engage in relevant novel ideas of their own. For more information on group activities visit: bit.ly/ciwroart.


Job Responsibilities

· Work in an interdisciplinary team to develop weather-radar signal processing techniques.

· Work in an interdisciplinary team to design, implement, and demonstrate advanced weather-sensing techniques using phased-array radar systems.

· Lead, manage, or support research and development efforts in one or more technical areas.

· Engage the broader research community through public dissemination of research via conferences, workshops, and peer-reviewed journal articles.


Qualifications

· United States citizenship or permanent residency.

· A Ph.D. in Electrical Engineering (or related field).

· Expertise in digital signal processing.

· Proficiency and demonstrated experience developing simulations (preferably using MATLAB).

· Excellent oral and written communication skills.

· Ability to work and communicate effectively in diverse team environments.

This position does not require specialized knowledge of remote sensing, radar systems, or atmospheric science.


Salary/Benefits

The salary is based on experience and includes university benefits (http://hr.ou.edu/). Other benefits include

· Reduced membership at OU’s 80,000 sq. ft. fitness and aquatic center (https://www.ou.edu/far).

· Flexible work hours in a hybrid work environment.

· Generous paid leave.


Work/Life Balance at CIWRO

· CIWRO supports a diverse, non-discriminatory workforce that respects the culture, beliefs, and practices of all employees.

· Flexible work hours, a hybrid work environment, and easy area commutes enable employees to address personal needs without sacrificing paid leave.

· CIWRO's structured career-track program allows for advancement and professional prestige while maintaining a healthy work/life balance.


Living in Norman, OK

· Norman is a beautiful small city with a burgeoning arts movement, lively concert series, and numerous athletic events.

· Normans’ cost of living is very low (/bit.ly/livenorman), allowing CIWRO employees to live within about a 10-minute drive of the National Weather Center.

· Big-city amenities are only a 20-30-minute drive away. Several nearby lakes and nature preserves offer additional recreation and entertainment.


How to Apply

Send a statement of interest highlighting how you meet the position qualifications, your resume/CV, and a list of three professional references to: ciwro-careers@ou.edu. Enter in subject line: ATTN: RS - Advanced Radar Techniques Team. For more information about this position, please contact Dr. Sebastian Torres (sebas@ou.edu)


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

CIWRO Research Scientist: Model Analysis and Web Development

Position Description

This is a career-track PhD-level research scientist position in the Forecast Applications and Social Science Team at the Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) at the University of Oklahoma (OU) in collaboration with NOAA’s Storm Prediction Center (SPC) and National Severe Storms Laboratory (NSSL).

 

Overview

The incumbent will provide scientific and technical expertise to develop and enhance activities that: accelerate new tools from research to operations, inspire new initiatives for operationally relevant research, and identify and document sensitivities and performance of state-of-the art convection-allowing models. These activities will be in support of the annual NOAA/Hazardous Weather Testbed (HWT) Spring Forecasting Experiments (SFEs) and real-time, year-round experimental prediction systems. The ideal candidate will be excited about presenting and publishing their research. The position will be based at the National Weather Center in Norman, OK, a highly collaborative forecasting, research, and academic environment containing a number of NOAA and OU organizations. The incumbent will work directly with research scientists at NSSL and operational forecasters at SPC, and will be co-supervised by CIWRO scientist at both organizations (SPC and NSSL).

 

Job Responsibilities

  • Lead efforts to enhance and develop web-based visualizations for the following: real-time ensemble data for NOAA/HWT SFEs, operational systems (e.g., High-Resolution Ensemble Forecast System), and real-time experimental systems that operate year-round (e.g., NSSL-WRF, NSSL-FV3, NSSL-MPAS, and Warn-on-Forecast).
  • Lead post-experiment analyses of convection-allowing ensembles from Community Leveraged Unified Ensemble (CLUE) experiments, subjective model evaluations, and other experimental and operational systems used in the SFE.
  • Engage in the broader research community through public dissemination of research via conferences, workshops, peer-reviewed journal articles, and hazardous-weather-related outreach events.
  • Work normal hours except for occasional irregular hours during data collection, warning/forecast experiments or workshops conducted at remote sites.

 

Qualifications

  • United States citizenship.
  • A PhD in Meteorology, Atmospheric Science, Computer Science, or related field.
  • Knowledge and experience in web development and graphic design/visualization of models, 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.
  • Proficiency in Linux (Unix) environments and python, and a strong understanding of JavaScript (including JQuery), PHP, CSS stylesheets, and how to implement dynamic web-based data visualizations through libraries such as D3.
  • Excellent oral and written communication skills.

 

Salary/Benefits

 

Work/Life Balance at CIWRO

  • CIWRO supports a diverse, non-discriminatory workforce that respects the culture, beliefs, and practices of all employees.
  • Flexible work hours and easy area commutes enable employees to address personal needs without sacrificing paid leave.
  • CIWRO’s structured career-track program allows for advancement and professional prestige while maintaining a healthy work/life balance.

 

Living in Norman, OK

  • Norman is a beautiful small city with a burgeoning arts movement, lively concert series, and numerous athletic events.
  • Norman’s cost of living is very low (bit.ly/livenorman), allowing CIWRO employees to live within about a 10-minute drive of the National Weather Center.
  • Big-city amenities are only a 20-30-minute drive away. Several nearby lakes and nature preserves offer additional recreation and entertainment.

 

How to Apply

Send a statement of interest highlighting how you meet the position qualifications, your resume/CV, and a list of three professional references to: ciwro-careers@ou.edu. Enter in the subject line: ATTN: Model Analysis and Web Development Position. For more information about this position, please contact Dr. Katie Wilson (katie.a.wilson@ou.edu).

 

The University of Oklahoma is an Equal Opportunity/Affirmative Action employer.

CIWRO Research Associate: Model Anaylsis and Web Development

Position Description

This is a career-track MS-level research scientist position in the Forecast Applications and Social Science Team at the Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) at the University of Oklahoma (OU) in collaboration with NOAA’s Storm Prediction Center (SPC) and National Severe Storms Laboratory (NSSL).

 

Overview

The incumbent will provide scientific and technical expertise to develop and enhance activities that: accelerate new tools from research to operations, inspire new initiatives for operationally relevant research, and identify and document sensitivities and performance of state-of-the art convection-allowing models. These activities will be in support of the annual NOAA/Hazardous Weather Testbed (HWT) Spring Forecasting Experiments (SFEs) and real-time, year-round experimental prediction systems. The ideal candidate will be excited about presenting and publishing their research. The position will be based at the National Weather Center in Norman, OK, a highly collaborative forecasting, research, and academic environment containing a number of NOAA and OU organizations. The incumbent will work directly with research scientists at NSSL and operational forecasters at SPC, and will be co-supervised by CIWRO scientist at both organizations (SPC and NSSL).

 

Job Responsibilities

  • Lead efforts to enhance and develop web-based visualizations for the following: real-time ensemble data for NOAA/HWT SFEs, operational systems (e.g., High-Resolution Ensemble Forecast System), and real-time experimental systems that operate year-round (e.g., NSSL-WRF, NSSL-FV3, NSSL-MPAS, and Warn-on-Forecast).
  • Lead post-experiment analyses of convection-allowing ensembles from Community Leveraged Unified Ensemble (CLUE) experiments, subjective model evaluations, and other experimental and operational systems used in the SFE.
  • Engage in the broader research community through public dissemination of research via conferences, workshops, peer-reviewed journal articles, and hazardous-weather-related outreach events.
  • Work normal hours except for occasional irregular hours during data collection, warning/forecast experiments or workshops conducted at remote sites.

 

Qualifications

  • United States citizenship.
  • A Master's degree in Meteorology, Atmospheric Science, Computer Science, or related field.
  • Knowledge and experience in web development and graphic design/visualization of models, 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.
  • Proficiency in Linux (Unix) environments and python, and a strong understanding of JavaScript (including JQuery), PHP, CSS stylesheets, and how to implement dynamic web-based data visualizations through libraries such as D3.
  • Excellent oral and written communication skills.

 

Salary/Benefits

 

Work/Life Balance at CIWRO

  • CIWRO supports a diverse, non-discriminatory workforce that respects the culture, beliefs, and practices of all employees.
  • Flexible work hours and easy area commutes enable employees to address personal needs without sacrificing paid leave.
  • CIWRO’s structured career-track program allows for advancement and professional prestige while maintaining a healthy work/life balance.

 

Living in Norman, OK

  • Norman is a beautiful small city with a burgeoning arts movement, lively concert series, and numerous athletic events.
  • Norman’s cost of living is very low (bit.ly/livenorman), allowing CIWRO employees to live within about a 10-minute drive of the National Weather Center.
  • Big-city amenities are only a 20-30-minute drive away. Several nearby lakes and nature preserves offer additional recreation and entertainment.

 

How to Apply

Send a statement of interest highlighting how you meet the position qualifications, your resume/CV, and a list of three professional references to: ciwro-careers@ou.edu. Enter in the subject line: ATTN: Model Analysis and Web Development Position. For more information about this position, please contact Dr. Katie Wilson (katie.a.wilson@ou.edu).

 

The University of Oklahoma is an Equal Opportunity/Affirmative Action employer.

CIWRO Research Scientist: MRMS Hydro-Meteorological Scientist

Position Description

This is a career-track PhD-level research scientist position in the Storm Scale Hydro-Meteorological Team at the Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) at the University of Oklahoma (OU) in collaboration with NOAA’s Storm Prediction Center (SPC) and National Severe Storms Laboratory (NSSL).

 

Overview

The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) at the University of Oklahoma in Norman, Oklahoma is currently seeking a research scientist to collaborate with other scientists at the National Severe Storms Laboratory’s (NSSL) Warning Research & Development Division on the development of scientific applications, algorithms, and applied research related to improving Multi Radar/Multi Sensor (MRMS) quantitative precipitation estimates (QPEs) and other hydrological applications used by operational forecasters in the warning decision-making process for flash flood and river flooding events. MRMS is an operational software system that contains a number of algorithms used to ingest multiple sources of environmental information, analyzes the data to produce severe weather, hydro-meteorological and transportation based products, many of which are used by National Weather Service (NWS) forecasters as well as the private sector and academia.

 

Job Responsibilities

  • To lead the development of machine learning algorithms generating QPEs over the CONUS and Hawaii while running in a real-time (24hrs/7 days a week) environment.
  • To evaluate new precipitation data sources (both remote sensing and in situ based) for integration into multi-sensor precipitation products and develop methodologies and algorithms for integration into the multi-sensor QPE process.
  • To conduct post-analyses of QPE performance during precipitation events and to develop algorithm improvements via the re-analyses of MRMS products.
  • Attend meetings and professional conferences to present research results and interact with collaborators and users; formally publish results when appropriate
  • Review technical and professional publications and attend seminars to stay abreast of current developments in meteorological and remote sensing science

 

Qualifications

  • A Ph.D. Degree in Meteorology, Atmospheric Science, Data Science or related area preferably with experience with meteorological applications
  • Three years of experience in scientific programming on UNIX/Linux based computers using a high level language (e.g. C, C++, Python)
  • Experience with statistical methods and software for meteorological data analysis and visualization (e.g. MATLAB, GIS, etc.)
  • Ability to communicate scientific research through conference presentations, formal publications and technical documents

 

Salary/Benefits

  • Reduced cost membership at OU’s 80,000 sq. ft. fitness and aquatic center (https://www.ou.edu/far).
  • Flexible work hours.
  • Generous paid leave.
  • Beginning salary is commensurate with degree and experience. Information on OU benefits can be found at: https://jobs.ou.edu/Discover-OU

 

Work/Life Balance at CIWRO

  • CIWRO supports a diverse, non-discriminatory workforce that respects the culture, beliefs, and practices of all employees.
  • Flexible work hours and easy area commutes enable employees to address personal needs without sacrificing paid leave.
  • CIWRO’s structured career-track program allows for advancement and professional prestige while maintaining a healthy work/life balance.

 

Living in Norman, OK

  • Norman is a beautiful small city with a burgeoning arts movement, lively concert series, and numerous athletic events.
  • Norman’s cost of living is very low (/bit.ly/livenorman), allowing CIWRO employees to live within about a 10-minute drive of the National Weather Center.
  • Big-city amenities are only a 20-30-minute drive away. Several nearby lakes and nature preserves offer additional recreation and entertainment.

 

How to Apply

Send a statement of interest highlighting how you meet the position qualifications, your resume/CV, and a list of three professional references to: ciwro-careers@ou.edu. Enter in the subject line: ATTN: MRMS Hydro-Meteorological Scientist. For more information about this position, please contact Dr. Stephen Cocks (stephen.b.cocks-1@ou.edu).

The University of Oklahoma is an Equal Opportunity/Affirmative Action employer.