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Research Positions

CIWRO Research Associate: Advanced Radar Techniques Team

Position Description

This is a career-track BS/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

  • MS degree in Electrical Engineering (or related field), or a BS degree in Electrical Engineering (or related field) plus 24 months 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

  • 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: 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: 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 Scientist: Phased Array Radar Meteorological Studies Team

The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) at the University of Oklahoma (OU) is currently seeking a research scientist to collaborate with scientists in the National Severe Storms Laboratory’s (NSSL) Radar Research & Development Division on the planning and implementation of projects for NOAA’s Phased Array Radar program for planning, leading and conducting collaborative research projects that capitalize on the unique capabilities of polarimetric phased-array radar.


Overview

The Phased Array Meteorological Studies Team consists of scientists who are dedicated to investigating the unique capabilities and potential operational benefits provided by polarimetric phased-array radar. More information about the NSSL Phased-Array Radar program can be found at https://www.nssl.noaa.gov/tools/radar/par/. The position will be located in the National Weather Center (https://www.ou.edu/nwc) in Norman Oklahoma. Normal working hours will be observed except for occasional irregular hours during data collection, warning/forecast experiments, or conferences/workshops conducted at remote sites.


Job Responsibilities

  1. Participate in the collection and analysis of dual-polarization radar data from the KOUN WSR-88D radar and Advanced Technology Demonstrator (ATD), a polarimetric phased array radar
  2. Lead and conduct scientific research studies that capitalize on the unique capabilities of dual-polarization phased array radar observations to advance our understanding of hazardous storms, their evolution, characteristics of the environments in which they form, and the potential benefits of such data to operational meteorologists
  3. Collaborate with engineers and meteorologists to develop radar algorithms that take advantage of the ATD’s rapid- and adaptive-scanning capabilities, and to evaluate the dual-polarization ATD phased-array antenna calibration and data quality
  4. Contribute to the planning and execution of Hazardous Weather Testbed experiments and/or operational demonstrations to evaluate the use of dual-polarization phased-array radar data and products in an operational environment
  5. Develop scientific research proposals for funding by external agencies, prepare manuscripts for publication in peer-reviewed scientific journals, and create presentations to exchange information with collaborators, stakeholders, and the public.


Qualifications

  • PhD in Meteorology or related area
  • Experience using radar data, including Doppler velocity and polarimetric fields, in severe storm research
  • Experience with scientific programming in UNIX/Linux systems using high-level language (e.g., C++, Python)
  • Excellent oral and written communication skills
  • Ability to work and communicate effectively in a team environment


Beginning salary is commensurate with degree and experience. Information on OU benefits can be found at https://jobs.ou.edu/Discover-OU. CIWRO supports a diverse, non-discriminatory workforce that respects the culture, beliefs, and practices of all employees. Our flexible work hours and easy area commutes enable employees to address personal needs without sacrificing paid leave. CIWRO has a structured career-track program that allows for advancement and professional prestige all while maintaining a healthy work/life balance. Information on living in Norman Oklahoma and the surrounding communities can be found at https://hr.ou.edu/Employees/University-Community-Resources/Norman-Area.


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: Phased Array Radar – Met Studies Team. For more information about this position, please contact Dr. Terry Schuur (schuur@ou.edu).


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

CIWRO Research Associate: Social Scientist for Warn-on-Forecast

The Cooperative Institute for Severe & High-Impact Weather Research and Operations (CIWRO - https://ciwro.ou.edu/) seeks to fill a Research Associate 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). The Research Associate will contribute to NSSL’s Warn-on-Forecast (WoF) program.


Background:

The WoF system (https://wof.nssl.noaa.gov/) is envisioned to be a primary contributor to the NWS Probabilistic Impact-Based Decision Support Services. Social science expertise is key to ensuring that the probabilistic WoF guidance created is usable and useful to NWS forecasters and other stakeholders. (e.g., Emergency Managers, Broadcast meteorologists, etc.)


Responsibilities:

The incumbent will assist in the design and conduct both qualitative and quantitative research studies within NOAA Testbed, NWS Weather Forecast Offices, and/or NWS centers to explore and test operational usability to include aspects such as: 1) visualization, 2) perceptions, understanding, and use of probabilistic forecast guidance and related uncertainty information, 3) the communication of this information to partners, and 4) identification of operational opportunities for (or concerns about) applying probabilistic information within the WFO and broader NWS infrastructure. In this role, a primary responsibility of the incumbent will be to coordinate the experimental use of the WoF system with NWS leaders and occasional travel to and conduct co-productive research within NWS offices and centers. Throughout the research process, the incumbent will work with other social scientists, model developers, and NWS forecasters for training, webinars and real-time experiment collaborations to contribute toward the production of a WoF system prototype ready for transfer to operations. Additional responsibilities include public dissemination of research



Required Qualifications:

1. Masters in Meteorology, Cognitive Psychology/Industrial Engineering/Human Factors, Communication, Geographic Studies, Anthropology/Ethnography, Science and Technology Studies or related fields.

2. Research experience in user-centered design or coproduction, including designing and conducting studies to observe decision makers and elicit feedback.

3. Ability to coordinate experimental activities with the NOAA NWS and travel to NWS offices or centers to conduct research.

4. Experience conducting data collection and analysis in a collaborative environment (i.e., observation, user evaluation, etc.).

5. Excellent oral and written communication skills.

6. Ability to work both independently and cooperatively in interdisciplinary teams and to bring diverse knowledge and perspectives to problems.


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 CIWRO

120 David L. Boren Blvd., Suite 2100

Norman, OK 73072-7304

ciwro-careers@ou.edu

ATTN: WoFS


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

CIWRO Research Scientist: Social Scientist for Warn-on-Forecast

The Cooperative Institute for Severe & High-Impact Weather Research and Operations (CIWRO - https://ciwro.ou.edu/) 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). The Research Scientist will contribute to NSSL’s Warn-on-Forecast (WoF) program.


Background:

The WoF system (https://wof.nssl.noaa.gov/) is envisioned to be a primary contributor to the NWS Probabilistic Impact-Based Decision Support Services. Social science expertise is key to ensuring that the probabilistic WoF guidance created is usable and useful to NWS forecasters and other stakeholders. (e.g., Emergency Managers, Broadcast meteorologists, etc.)


Responsibilities:

The incumbent will lead the design and conduct both qualitative and quantitative research studies within NOAA Testbed, NWS Weather Forecast Offices, and/or NWS centers to explore and test operational usability to include aspects such as: 1) visualization, 2) perceptions, understanding, and use of probabilistic forecast guidance and related uncertainty information, 3) the communication of this information to partners, and 4) identification of operational opportunities for (or concerns about) applying probabilistic information within the WFO and broader NWS infrastructure. In this role, a primary responsibility of the incumbent will be to coordinate the experimental use of the WoF system with NWS leaders and occasional travel to and conduct co-productive research within NWS offices and centers. Throughout the research process, the incumbent will work with other social scientists, model developers, and NWS forecasters for training, webinars and real-time experiment collaborations to contribute toward the production of a WoF system prototype ready for transfer to operations. Additional responsibilities include publishing findings in peer-reviewed literature and presenting at conferences.


Required Qualifications:

1. A Ph.D. in Meteorology, Cognitive Psychology/Industrial Engineering/Human Factors, Communication, Geographic Studies, Anthropology/Ethnography, Science and Technology Studies or related fields.

2. Research experience in user-centered design or coproduction, including designing and conducting studies to observe decision makers and elicit feedback.

3. Ability to lead experimental activities with the NOAA NWS and travel to NWS offices or centers to conduct research.

4. Experience conducting data collection and analysis in a collaborative environment (i.e., observation, user evaluation, etc.).

5. Excellent oral and written communication skills (including papers published in or submitted to refereed journals).

6. Ability to work both independently and cooperatively in interdisciplinary teams and to bring diverse knowledge and perspectives to problems.


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 CIWRO

120 David L. Boren Blvd., Suite 2100

Norman, OK 73072-7304

ciwro-careers@ou.edu

ATTN: WoFS


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

CIWRO Research Associate: Warn-on-Forecast

The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO- https://ciwro.ou.edu/) seeks to fill a Research Associate 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). The Research Associate will contribute to NSSL’s Warn-on-Forecast (WoF) program (https://wof.nssl.noaa.gov/).


Background

A major activity at NSSL over the past decade has been the research, development and evaluation of storm-scale Numerical Weather Prediction (NWP) modeling for hazardous weather threats. Accurate and reliable 3D depiction of severe convection is critical to successfully develop NWP model guidance. One of the biggest challenges associated with this work is that the three-dimensional state of the atmosphere at the convection scale is poorly known. To address the issue, this research will develop a regional and rapidly updating 3D atmospheric analysis system using operational Gridpoint Statistical Interpolation based ensemble Kalman filter and ensemble-variational data assimilation system. Results from this high-resolution analysis will be used to help verify the NSSL WoF System ensemble predictions and help improve model guidance.


Responsibilities

  • Contribute to the ongoing development of a rapid update, storm-scale 3D gridded analysis system of severe convective thunderstorms for detection and NWP model verification using the latest technologies in HPC cloud computing.
  • Assist in conducting high-quality research for improving the analysis performance by applying new or improved data-assimilation techniques. This may involve processing observations, conducting data assimilation sensitivity experiments and evaluating the analysis performance using existing and/or newly developed verification/diagnostic/visualization tools.
  • Assist in writing scientific manuscripts for publication in peer-reviewed journals and on project reports as needed. Present results to funding agencies and at national and international scientific conferences, workshops, and symposia.
  • Creatively and efficiently solves scientific problems, independently or as part of the WoFS program in data assimilation and modeling.


Required Qualifications

  • Master in Atmospheric Science or related field or an equivalent combination of education and experience in numerical weather prediction, data assimilation, and observations of atmosphere.
  • Knowledge and skill in NWP, data assimilation, and observations of atmosphere.
  • Demonstrated skill in modern Fortran programming, shell scripting, python
  • Use of high-performance computer and data analysis/visualization tools.
  • Excellent oral and written communication skills
  • An ability to work both independently and cooperatively with others


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/. The position will be located in Norman, OK (https://www.normanok.gov/about-norman) at the National Weather Center (https://www.ou.edu/nwc). 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:

CIWRO Careers

University of Oklahoma CIWRO

120 David L. Boren Blvd., Suite 2100

Norman, OK 73072-7304

ciwro-careers@ou.edu

ATTN: WoF RA


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

Post-Doctoral Research Associate for Warn-on-Forecast

The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO- https://ciwro.ou.edu/) seeks to fill a Post-Doctoral Research Associate 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). The Post-Doctoral Research Associate will contribute to NSSL’s Warn-on-Forecast (WoF) program (https://wof.nssl.noaa.gov/).


Background

A major activity at NSSL over the past decade has been the research, development and evaluation of storm-scale Numerical Weather Prediction (NWP) modeling for hazardous weather threats. Accurate and reliable 3D depiction of severe convection is critical to successfully develop NWP model guidance. One of the biggest challenges associated with this work is that the three-dimensional state of the atmosphere at the convection scale is poorly known. To address the issue, this research will develop a regional and rapidly updating 3D atmospheric analysis system using operational Gridpoint Statistical Interpolation based ensemble Kalman filter and ensemble-variational data assimilation system. Results from this high-resolution analysis will be used to help verify the NSSL WoF System ensemble predictions and help improve model guidance.


Responsibilities

  • Contribute to the ongoing development of a rapid update, storm-scale 3D gridded analysis system of severe convective thunderstorms for detection and NWP model verification using the latest technologies in HPC cloud computing.
  • Conduct high-quality research for improving the analysis performance by applying new or improved data-assimilation techniques. This may involve processing observations, conducting data assimilation sensitivity experiments and evaluating the analysis performance using existing and/or newly developed verification/diagnostic/visualization tools.
  • Serve as lead or contributing author on scientific manuscripts for publication in peer-reviewed journals and on project reports as needed. Present results to funding agencies and at national and international scientific conferences, workshops, and symposia.
  • Creatively and efficiently solves scientific problems, independently or as part of the WoFS program in data assimilation and modeling.


Required Qualifications

  • PhD in atmospheric science or related field.
  • Advanced knowledge and skill in NWP, data assimilation, and observations of atmosphere.
  • Demonstrated skill in modern Fortran programming, shell scripting and python.
  • Use of high-performance computer and data analysis/visualization tools.
  • Excellent oral and written communication skills.
  • An ability to work both independently and cooperatively with others.


Information on benefits may be found at https://hr.ou.edu/. The position will be located in Norman, OK (https://www.normanok.gov/about-norman) at the National Weather Center (https://www.ou.edu/nwc). 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:


CIWRO Careers

University of Oklahoma CIWRO

120 David L. Boren Blvd., Suite 2100

Norman, OK 73072-7304

ciwro-careers@ou.edu

ATTN: WoF Post-Doc


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