Careers


Research Positions

CIMMS Research Scientist – Coordinator VORTEX-SE Social Scientist

The Cooperative Institute for Mesoscale Meteorological Studies at The University of Oklahoma seeks a highly qualified social or behavioral scientist to serve as a research coordinator for the social scientific research portfolio of the VORTEX-SE (VSE) program. This position will be funded by a project from the National Oceanic and Atmospheric Administration (NOAA) Office of Oceanic and Atmospheric Research (OAR) National Severe Storms Laboratory (NSSL). The position is located in Norman, Oklahoma.

Created by congressional mandate, the purpose of the VSE program is to improve societal resiliency to tornadoes in the Southeastern US. Central to this theme is survivability, involving both an understanding of the factors that increase vulnerability to tornadoes and also what steps can be undertaken to improve survivability for those at risk. These factors can be structural, infrastructural, and behavioral in nature. Program leadership now seeks a highly qualified individual to improve understanding of the factors that most affect the survivability of tornadoes, and to make recommendations for future research and applications. In addition to reviewing previous works in this area, the scientist would coordinate among social scientific research projects ongoing within the VSE program to accomplish this goal. The scientist would help organize field deployments after key events that draw significant attention within a particular region. Information on the program can be found here: https://www.nssl.noaa.gov/projects/vortexse/.

As part of this opportunity, the scientist would be invited to: (a) coordinate deployments to the field for VSE-funded social and behavioral scientists, (b) conduct a meta-analysis of epidemiological studies done following tornado events, (c) systematically review literature relating to tornado vulnerability; (d) engage with VSE PIs to incorporate their up-to-date research findings into the analysis, (e) produce reports or independent analyses synthesizing individual findings into broader lessons learned, (f) propose revised scientific priorities as new knowledge is generated, and (g) propose and plan for activities that transition the research findings into broader research programs or applications.

Candidates for this position would (or soon will) possess a PhD in the social sciences or public health, including (but not limited to) epidemiology, health or risk communication, hazards geography, or other fields, and have expertise in topics relating to natural hazards. The ideal candidate will have experience working with the National Weather Service or Emergency Managers and conducting social science field work.

The beginning salary will be based on qualifications and experience with University benefits. Information on benefits may be found at http://www.hr.ou.edu/. The start date for the position is negotiable but prior to September 1, 2019.

Appointment to this position is contingent on passing a Department of Commerce/NOAA background check.

To apply, please forward your CV, 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: VSE Social Science Coordinator


CIMMS Research Associate – Operations Proving Ground

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma is currently looking for a Research Associate (RA) to collaborate with scientists and National Weather Service (NWS) forecasters at the Operations Proving Ground (OPG) in Kansas City, MO. This position will assist with projects designed to transition meteorological research and forecasting tools into the operational environment, develop practical applications for emerging technologies, incorporate risk communication skills into the warning and forecast process, and optimize NWS forecast delivery systems. Much of the work will be conducted on the Advanced Weather Interactive Processing System, Version 2 (AWIPS-2). Concentrating on AWIPS-2 enables the OPG to focus development and evaluation efforts on the primary NWS operational system, as well as allowing meteorological research, development and operational services to be integrated and leveraged with other federal, regional, state and local partners.

The duties of this position are:
1. Develop expertise in meteorology and the delivery of warnings, forecasts, and impact-based decision support services (IDSS).
2. Develop expertise in utilizing AWIPS-2 to generate and disseminate forecast products and deliver IDSS.
3. Develop expertise in creating AWIPS-2 cases that can be used to evaluate and validate the usefulness and usability of promising tools or capabilities emerging from NOAA-affiliated laboratories and testbeds.
4. Refine skills needed in the operation of Linux and Windows workstations. The person applying to this position should have a basic knowledge of Linux and experience with Python.
5. Participate in NWS designed simulations to study the effectiveness of newly developed applications and capabilities designed to enhance forecasting and/or service delivery.
6. Assist in testing and fielding new capabilities and services in a simulated operational environment. By validating both scientific integrity and human factors, deployment risks will be reduced prior to implementation.
7. Review technical and professional publications, and attend seminars to stay abreast of current developments in meteorological and hydrological applications.
8. Attend meetings and professional conferences to understand new meteorological and hydrological applications and interact with the operational community.
9. Perform related duties as assigned to support the development and delivery of user and focal point training for the AWIPS-2 system.

The minimum qualifications for the position are:
1. A Master’s Degree in Meteorology, Atmospheric Science or related area;
2. Or a Bachelor’s Degree in Meteorology, Atmospheric Science or related area and at least three years’ experience in operational meteorology, operational hydrology or applied research;
3. Emphasis will be placed on applicants with experience in operational forecast operations, operational forecast systems, applied meteorology, Linux, Python, and AWIPS-2.

Applicants should identify expertise with any of the following areas: operational forecasting, forecast systems, risk communication and adult education. Strong oral and written communication skills are needed for the position. Please indicate experience with Linux (or UNIX) operating systems, National Weather Service systems, programming skills and commercial software applications – specifically Python, GIS, Java, Dreamweaver, and graphic design programs.

Normal working hours will be observed except for occasional irregular hours during system testing or workshops. Incumbents will receive training and gain expertise in the latest meteorological forecasting systems. This position is located in Kansas City, MO.

Supervision will be provided by CIMMS staff. Technical oversight will be provided by CIMMS staff and OPG 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.

Beginning salary range is scalable to experience and qualifications, supplemented by University of Oklahoma employment benefits. Information on benefits may be found at https://hr.ou.edu/.

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: OPG KC


CIMMS Research Scientist – MRMS Severe Weather

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at the University of Oklahoma is currently seeking a research scientist to collaborate with scientists in the National Severe Storms Laboratory’s (NSSL) Warning Research & Development Division on the development and assessment of scientific applications, algorithms, and applied research that assists forecasters in the warning decision-making process for severe convective weather events. The incumbent will lead the development of severe convective weather guidance applications for the Multi-Radar / Multi-Sensor system, which is widely used in the National Weather Service, private sector, and in academia for analyzing thunderstorm events.

The duties of this position are:
1. Lead development and assessment of techniques and algorithms that utilize a variety of sensors (e.g., satellite, lightning, polarimetric radar, or numerical models) to improve the short-term prediction of high impact weather including tornadoes, hail, lightning, and damaging wind.
2. Design and lead applied research and operational experiments in the Hazardous Weather Testbed’s Experimental Warning Program that facilitate the evolution of how severe convective weather threats are analyzed and communicated;
3. Develop scientific talent and enhance diversity within the field through the advisement of undergraduate and graduate students.
4. Attend meetings and professional conferences to present research results and interact with collaborators and users; formally publish results when appropriate;
5. Review technical and professional publications and attend seminars to stay abreast of current developments in meteorological and remote sensing science.

The minimum qualifications for the position are:
1. A Ph.D. Degree in Meteorology, Atmospheric Science, or related area;
2. Experience with statistical methods or software for meteorological data analysis and visualization
3. Experience with scientific programming on UNIX/Linux using a high level language (e.g. C++, Java, Python)
4. Interest in new severe and convective applied research and operational applications of research
5. Ability to communicate scientific research through conference presentations, formal publications and technical documents

Applicants should identify expertise with any of the following areas: Severe Local Storms; Machine Learning; Statistics; Warning Decision Making; Weather Radar; Lightning Data; Numerical Modeling; Remote Sensing and Satellite. Strong oral and written communication skills are needed for the position, including the ability to collaborate on proposals and reports. Please indicate experience with Linux (or UNIX) operating systems, programming skills (including web-based and mobile applications) and Geographic Information Systems.

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 radar and other remote sensing technology and warning decision-making.

Supervision will be provided by CIMMS staff. Technical oversight will be provided by CIMMS staff, NSSL scientists, and NSSL management. Works 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 and supervise students.

The beginning salary will be based on qualifications and experience with University benefits. Information on benefits may be found at http://www.hr.ou.edu. The position is expected to begin February 2019.

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: MRMS Scientist


CIMMS Research Associate – MRMS Severe Weather Applications

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at the University of Oklahoma is currently seeking a research scientist to collaborate with scientists in the National Severe Storms Laboratory’s (NSSL) Warning Research & Development Division on the development of scientific applications, algorithms, and applied research that assists forecasters in the warning decision-making process for severe convective weather events. The incumbent will work to develop severe convective weather guidance applications for the Multi-Radar / Multi-Sensor project, which is widely used in the National Weather Service, private sector, and in academia for analyzing thunderstorm events.

The duties of this position are:
1. Developing and/or testing new multi-sensor (e.g., satellite, lightning, numerical models) algorithms and techniques (e.g, machine learning) for short-term probabilistic prediction and nowcasting;
2. Acquire and apply expertise in severe local storms and the warning-decision-making process;
3. Participate in applied research and operational experiments in the Hazardous Weather Testbed’s Experimental Warning Program that facilitate the evolution of how severe convective weather threats are analyzed and communicated;
4. Attend meetings and professional conferences to present research results and interact with collaborators and users; formally publish results when appropriate;
5. Review technical and professional publications and attend seminars to stay abreast of current developments in meteorological and remote sensing science.

The minimum qualifications for the position are:
1. A Masters Degree in Meteorology, Atmospheric Science, Geographic Information Systems, or related area;
2. Experience with scientific programming on UNIX/Linux using a high level language (e.g. C++, Java, Python)
3. Experience with statistical methods or software for meteorological data analysis and visualization
4. Interest in new radar algorithm development for severe storm detection and diagnosis
5. Ability to communicate scientific research through conference presentations, formal publications and technical documents

Applicants should identify expertise with any of the following areas: Severe Local Storms; Machine Learning; Statistics; Warning Decision Making; Weather Radar; Lightning Data; Numerical Modeling; Remote Sensing and Satellite. Strong oral and written communication skills are needed for the position. Please indicate experience with Linux (or UNIX) operating systems, programming skills (including web-based and mobile applications) and Geographic Information Systems.

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 radar and other remote sensing technology and warning decision-making.

Supervision will be provided by CIMMS staff. Technical oversight will be provided by CIMMS staff, NSSL scientists, and NSSL management. Works 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 and supervise students.

The beginning salary will be based on qualifications and experience with University benefits. Information on benefits may be found at http://www.hr.ou.edu. The position is expected to begin February 2019.

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: MRMS Severe Weather Applications


Post-Doctoral Research Positions

CIMMS Post-Doctoral Research Associate – Joint Technology Transfer Initiative

The Cooperative Institute for Mesoscale Meteorological Studies at The University of Oklahoma seeks a highly qualified postdoctoral research associate to work on a project related to the Joint Technology Transfer Initiative (JTTI). This position is funded by a grant from the National Oceanic and Atmospheric Administration (NOAA) Office of Oceanic and Atmospheric Research (OAR). PIs for the project are housed at the University of Oklahoma Cooperative Institute for Mesoscale Meteorological Studies (OU CIMMS).

The postdoctoral associate will work with our research team to design and test novel representations of severe weather forecast uncertainty that vary spatially and temporally. For the past several years, the research team has developed and tested probabilistic hazard information (PHI) for severe hazards like wind, hail, lightning, and tornadoes. Through this process, the team has uncovered the need to examine geospatial uncertainty visualizations, especially considering nuances in best communicating change over time. A postdoctoral researcher would be invited to: (a) work with the research team to produce novel representations that meet the challenges identified in prior work, and (b) design and conduct experimental research to test the efficacy and efficiency of visualizations for decision-making by forecasters, end-users such as emergency managers or broadcast meteorologists, and/or members of the US public. More information on this work may be found at https://www.nssl.noaa.gov/research/social/ and https://www.nssl.noaa.gov/projects/facets/

Candidates for this position should (or soon will) possess a PhD in one of the following disciplines including (but not limited to) geography, psychology, communication, human-computer interaction, or other related fields. The ideal candidate would have a background in research topics related to spatial cognition, cartographic cognition, human-centered design, and/or visualization of uncertainty. A background in topics relating to risk and hazards is especially desirable but not required.

The beginning salary will be based on qualifications and experience with University benefits. Information on benefits may be found at http://www.hr.ou.edu/. The start date for the position is negotiable but prior to September 1, 2019.

Appointment to this position is contingent on passing a Department of Commerce/NOAA background check.

To apply, please forward a CV, 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: JTTI Postdoc


Software Developer Positions

CIMMS Research Associate – MRMS Software Developer

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 (http://www.nssl.noaa.gov/projects/mrms/).

Background
NSSL in collaboration with CIMMS has developed a cutting-edge system to assimilate radar, rain gauge, lightning, satellite and atmospheric environmental data into a single system to aid in warning-decision making within the National Weather Service. This system, Multi-Radar Multi-Sensor (MRMS), includes several tools for data analytics and workflow. The incumbent in this position will contribute to the development of software in support of research activities related to the MRMS system.

Responsibilities
The incumbent will be a scientific software engineer affiliated with NSSL’s Warning Research and Development Division (WRDD), working in support of CIMMS and NSSL’s research missions.

● Acquire the knowledge and skills necessary to maintain and support the existing MRMS and Warning Decision Support System-Integrated Information (WDSS-II) software systems
● Work with an interdisciplinary team of engineers and scientists to design, develop and implement enhancements and improvements to the MRMS and WDSS-II software systems
● Assist in developing a new infrastructure that will be the basis for the next generation of the MRMS and WDSS-II software systems for potential use on the NCEP operational hardware and software platforms
● Prepare documentation on all aspects of engineering activities (including system testing and evaluation) and, as appropriate, collaborate with scientists to participate in publishing scientific papers
● Perform related duties as assigned

Required Qualifications
● A Master’s Degree in Computer Science, Software Engineering, or related area
● At least two (2) years of scientific and operational programming experience
● Strong computer programming skills with particular emphasis on C/C++, Object Oriented Programming, modern scripting languages, and other emerging technologies
● Programming experience with engineering and/or scientific applications
● Ability to obtain all necessary security clearances for access to NCEP operational computer systems (Permanent Resident status or US citizenship is required).

Applicants should identify experience with the above qualifications in their written statements. Other preferred experience includes: experience debugging and/or troubleshooting software and hardware issues, experience working with complex software applications, experience with supercomputing environment. Excellent oral and written communication skills are highly desired as well as ability to work both independently and cooperatively with others.

Supervision will be provided by CIMMS staff. Technical oversight will be provided by CIMMS staff and 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 http://hr.ou.edu/Employees.
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: MRMS Software Developer


Radar Engineer Positions


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