Careers

 


CIMMS Research Scientist – SENSR

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) seeks to fill a Research Scientist position for projects funded by the National Oceanic and Atmospheric Administration (NOAA) Office of Oceanic and Atmospheric Research (OAR) National Severe Storms Laboratory (NSSL). The Research Scientist will participate in NSSL’s Multifunction Phased Array Radar (MPAR) program and related Spectrum Efficient National Surveillance Radar (SENSR) research.

Background:

NOAA and other agencies are developing concepts and performing risk reduction for a next-generation Multifunction Phased Array Radar. MPAR could subsume current national operational radar functions including surveillance for civil aviation, airport wind shear detection, severe weather observation and warning, quantitative precipitation monitoring and air-domain security. MPAR will exploit highly digital, active electronically scanned array technology to perform these missions. Critical challenges include maintaining the high data quality provided by the current operational weather radars (WSR-88D), developing efficient scanning strategies and achieving accurate dual-polarization observations in spite of inherent biases associated with array radars. The incumbent in this position will focus on developing and validating technical approaches in these areas through a combination of analysis, simulation and field measurement.

Responsibilities:

The incumbent will develop and assess techniques that exploit MPAR’s digital array architecture for calibration, data quality compensation and effective, multi-mission scanning. As appropriate, he/she will exploit test assets at NSSL, OU or industry facilities to perform measurements and quantitative analysis of these techniques. Assets available for this research include scaled (~1000 element) active arrays with both planar and cylindrical geometries, a future “Advanced Technology Demonstrator” – a large-scale polarimetric planar array radar, fixed and mobile conventional polarimetric weather radars, and a growing corpus of analysis, simulation and modeling software. It is expected that the incumbent will contribute to the development and effective utilization of these assets in addressing key meteorological phased array radar research challenges. He/she will publish results of their research in peer-reviewed literatures and present at conferences.

Required Qualifications:

1. A Ph.D. degree (or be in the final stages of dissertation completion before applying) in electrical and computer engineering, observational atmospheric science or related area.
2. Research experience with weather radar system development, signal and data processing techniques and observational studies.
3. Experience with Linux/Unix operating systems. Strong software design and programming (Matlab, C, C++, Java) skills and scripting (Python) familiarity.
4. Excellent oral and written communication skills (including papers published in, or submitted to refereed journals).
5. An ability to work both independently and cooperatively with others.

The beginning salary will be based on qualifications and experience, with benefits provided through the University of Oklahoma (https://hr.ou.edu/Employees/New-Employees-at-OU/OU-Benefits-Overview). The start date for the position is negotiable.

This position is a full-time appointment funded by grants from NOAA. The appointment is contingent on passing a Department of Commerce/NOAA background check. The appointee will serve a customary probationary period during the first year.

To apply, please forward your resume, cover letter and contact information for three references to:

Tracy Reinke, Executive Director, Finance and Operations
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
treinke@ou.edu
ATTN: SENSR Research Scientist October 2017


 

CIMMS Research Associate – Radar Hardware Engineering

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) seeks to fill a Research Associate position for projects funded by the National Oceanic and Atmospheric Administration (NOAA) Office of Oceanic and Atmospheric Research (OAR) National Severe Storms Laboratory (NSSL). The Research Associate will participate in research and development of radars and other sensors to support NSSL’s meteorological research mission.

Background:
NSSL and CIMMS have long partnered to perform pioneering research advancing radar for meteorological applications. Current development includes the Advanced Technology Demonstrator (ATD), a full scale, dual-polarized, active electronically steered array (AESA) weather radar. Critical challenges to the ATD include developing equipment and strategies to accurately characterize performance and calibrating the array to maintain the high quality of dual-polarimetric data provided by the current operational weather radars (WSR-88D). In addition to phased-array weather radar research, the incumbent will be responsible for maintaining and improving NSSL’s existing radar assets and designing new systems that provide the observational complement to the work of CIMMS/NSSL meteorological and hydrological scientists.

Responsibilities:
The incumbent will:
● Design, develop, and implement enhancements for NSSL radar systems including traditional dish radars, dual polarized radars, interferometric radars, mobile radars, and Active Electronically Scanned Array (AESA)-based radars.
● Develop, deploy, support, and operate remote sensing equipment complementing CIMMS/NSSL modeling and theoretical work.
● Perform novel RF measurements to characterize radar performance, including developing equipment and strategies to enable these measurements.
● Provide engineering expertise in assuring NSSL radar systems are properly calibrated, maintained and capable of supporting scientific data collection to meet scientific research requirements of NSSL.
● Produce documentation and reports on all aspects of engineering activities (including system testing and evaluation) and, as appropriate, collaborate with scientists to participate in publishing scientific papers and articles.

Required Qualifications:
● A Masters degree in Electrical Engineering, Computer Engineering, Physics, or related field
● Experience designing, developing, and implementing engineering enhancements for equipment for observational science (radar preferred)
● Understanding of RF concepts and circuitry
● Ability to work in Unix/Linux operating systems, including basic system administration
● Familiarity with programming for automation and data analysis (MATLAB, C/C++, Python)
● Ability to independently research and solve problems

Emphasis will be given to candidates
● Competence with RF test equipment, including signal generators, oscilloscopes, network analyzers, and spectrum analyzers
● Low-level electronics including printed circuit board design, FPGA firmware, and embedded systems
● Automated instrument control and data acquisition

The beginning salary will be based on qualifications and experience, with benefits provided through the University of Oklahoma (https://hr.ou.edu/Employees/New-Employees-at-OU/OU-Benefits-Overview). The start date for the position is negotiable.

This position is a full-time appointment funded by grants from NOAA. The appointment is contingent on passing a Department of Commerce/NOAA background check. The appointee will serve a customary probationary period during the first year.

To apply, please forward your resume, cover letter and contact information for 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: Radar Hardware Engineering March 2018


 

CIMMS Research Associate – Radar Software Engineering

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) seeks to fill a Research Associate position for projects funded by the National Oceanic and Atmospheric Administration (NOAA) Office of Oceanic and Atmospheric Research (OAR) National Severe Storms Laboratory (NSSL). The Research Associate will participate in research and development of radars and other sensors to support NSSL’s meteorological research mission.

Background:
NSSL and CIMMS have long partnered to perform pioneering research advancing radar for meteorological applications. Current development includes the Advanced Technology Demonstrator (ATD), a full scale, dual-polarized, active electronically steered array (AESA) weather radar. The incumbent will apply expertise at the intersection of radar software and hardware, working with a team of engineers to ensure that the ATD and other radar systems are properly calibrated, maintained, and capable of supporting CIMMS/NSSL’s meteorological mission. The incumbent will also be involved in the design and implementation of new sensors that provide the observational complement to the work of CIMMS/NSSL meteorological and hydrological scientists.

Responsibilities:
The incumbent will:
● Work with a team of engineers and technicians to design, develop, and implement enhancements for NSSL radar systems including traditional dish radars, dual polarized radars, interferometric radars, mobile radars, and Active Electronically Scanned Array (AESA)-based radars.
● Maintain, troubleshoot, and improve low-level software for radar control and hardware interfacing. Projects may include software for embedded systems, microcontrollers, and/or single-board computers.
● Assist in developing the infrastructure for novel measurements to characterize radar performance, including developing measurement strategies and automating tests.
● Apply systems-level understanding to interpret radar data and measurement results.
● Produce documentation and reports on all aspects of engineering activities (including system testing and evaluation) and, as appropriate, collaborate with scientists to participate in publishing scientific papers and articles.

Required Qualifications:
● A Masters degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or related field
● Experience with low-level programming for instrument control (e.g. C/C++)
● Experience with high-level programming for data analysis, preferably including large data sets (e.g. MATLAB, Python)
● Ability to work in Unix/Linux operating systems, including basic system administration
● Ability to independently research and solve problems

Emphasis will be given to candidates with:
● Experience interfacing and programming single-board computers, microcontrollers, embedded systems, and/or FPGAs
● Experience with electronics, RF systems, and test equipment
● Automated instrument control and data acquisition

The beginning salary will be based on qualifications and experience, with benefits provided through the University of Oklahoma (https://hr.ou.edu/Employees/New-Employees-at-OU/OU-Benefits-Overview). The start date for the position is negotiable.

This position is a full-time appointment funded by grants from NOAA. The appointment is contingent on passing a Department of Commerce/NOAA background check. The appointee will serve a customary probationary period during the first year.

To apply, please forward your resume, cover letter and contact information for 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: Radar Software Engineering March 2018


 

CIMMS Research Associate – Radar Software Development

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) seeks to fill a Research Associate position for projects funded by the National Oceanic and Atmospheric Administration (NOAA) Office of Oceanic and Atmospheric Research (OAR) National Severe Storms Laboratory (NSSL). The Research Associate will participate in NSSL’s Phased Array Radar (PAR) research program.

Background:

NOAA and other agencies are developing concepts and performing risk reduction for a next-generation Multifunction Phased Array Radar. As part of these efforts, NOAA partnered with the Federal Aviation Administration (FAA) to develop the Advanced Technology Demonstrator (ATD). The ATD is a modern, active, dual-polarization phased array radar that will be primarily used for weather research. When operational, the ATD will accomplish a significant milestone towards reducing technological risk for the PAR research program. The incumbent in this position will contribute to the development of software in support of research activities related to the ATD.

Responsibilities:

The incumbent will be a Radar Software Developer affiliated with NSSL’s Radar Research and Development Division (RRDD), working in an interdisciplinary team of engineers and scientists to plan, design, develop, test, and maintain software related to operational and experimental weather radar applications in support of CIMMS and NSSL’s research missions.

Required Qualifications:

1. A Master’s degree in engineering, computer science, or related field OR a Bachelor’s degree in the same fields with at least 2 years of experience.
2. One year of experience in Software Development projects.
3. Programming experience with C or C++.
4. Programming experience with engineering and/or scientific applications.
5. Strong oral and written communication skills.
6. The ability to work both independently and cooperatively with others.

Knowledge of radar systems and/or radar operations is preferred but not a requirement. Other preferences include: programming experience with Linux/Unix, programming experience with Java, programming experience with MATLAB, experience debugging and/or troubleshooting software (e.g., using gdb, ddd, and valgrind), experience testing complex software applications, programming experience with real-time embedded systems, and experience optimizing software for performance.

The beginning salary will be based on qualifications and experience, with benefits provided through the University of Oklahoma (https://hr.ou.edu/Employees/New-Employees-at-OU/OU-Benefits-Overview). The start date for the position is negotiable.

This position is a full-time appointment funded by grants from NOAA. The appointment is contingent on passing a Department of Commerce/NOAA background check. The appointee will serve a customary probationary period during the first year.

To apply, please forward your resume, cover letter and contact information for 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: Radar Software Development March 2018


 

CIMMS Research Associate – AWIPS2

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma currently is seeking a research associate to collaborate with scientists in the National Severe Storms Laboratory’s (NSSL) Warning Research & Development Division on the implementation of severe weather applications to support research to operations initiative via transition into the National Weather Service’s Advanced Weather Interactive Processing System- 2nd generation (AWIPS2) operational software platform.

The duties of this position are:
1. Integration of experimental datasets (ex. Phased Array Radar, Warn-on-Forecast products, multi-sensor products, NUCAPS, satellite, etc.) into AWIPS2;
2. Support and participate in applied research experiments in the Hazardous Weather Testbed;
3. Development of new applications and visualization techniques in the AWIPS2 development environment.

The minimum qualifications for the position are:
1. A Masters Degree in Meteorology, Atmospheric Science, Computer Science/Software Engineering, Geographic Information Systems, or related area;
2. Computer programming experience (Linux, Java, Python, PostgreSQL, Eclipse, etc.);

Applicants should identify expertise with any of the following areas: AWIPS2; Computer Programming; Visualization; Geographic Information Systems. Some knowledge of National Weather Service warning and forecast operations and weather radar would be beneficial. Good oral and written communication skills are needed for the position. Please indicate additional experience with operating systems and programming skills (including web-based and mobile applications) beyond the requirements stated above.

Normal working hours will be observed except for occasional irregular hours during data collection, warning/forecast experiments, or workshops conducted at remote sites.

General supervision will be provided by the CIMMS leadership. Technical oversight will be provided by CIMMS staff, NSSL scientists, and NSSL management. Appointee will work under general supervision but is expected to determine action to be taken in handling all but unusual situations. Incumbent in this position is not expected to supervise other employees, but may serve as a leader of technical teams.

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/employment/ WorkingatOU.asp. The position is expected to begin May 2018.

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 Requisition – AWIPS


 

CIMMS Research Scientist – Social Science Liaison

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) 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) and the NOAA Weather Forecast Office (WFO) in Norman, Oklahoma. The Research Scientist will contribute to NSSL’s Warn-on-Forecast (WoF) program and serve as a liaison between NSSL and the broader NOAA National Weather Service community.

Background:
The vision of the WoF program is to develop, test, and transition to operations a probabilistic storm-scale, ensemble-based forecast system with the goal of providing continuous forecast guidance between the ‘watch-to-warning’ temporal and spatial scales for threats related to severe and hazardous convective weather, e.g., tornadoes, large hail, damaging winds, and extreme rainfall. An experimental WoF system has recently been developed and is just beginning its testing phase. This system is envisioned to be a primary driver of a new NWS forecast paradigm known as FACETs, or Forecasting a Continuum of Environmental Threats. Given that the ultimate goal is the transition of a WoF prototype system to operations, it is important that the probabilistic forecast guidance provided by the system is usable and useful to forecasters and other stakeholders. Qualitative and quantitative research within operational Weather Forecast offices and the National Center for Environmental Prediction is needed to provide end-to-end insights on the usability of various WoF applications within users’ environments. Such research will provide operations-to-research feedback that will be used to enhance the system for use by forecasters and other stakeholders.

Responsibilities:
The incumbent will design and conduct studies within NOAA NWS offices and 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 travel to and conduct research within NWS offices and centers. Throughout the research process, the incumbent will collaborate with other social scientists, model developers, and stakeholders 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 one or more of the following fields: Cognitive Psychology/Industrial Engineering/Human Factors; Communication; Anthropology/Ethnography; and/or Science and Technology Studies.
2. Research experience designing and conducting studies to observe and elicit feedback from individuals within Weather Forecast Offices or centers.
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 (including papers published in or submitted to refereed journals).
6. An ability to work both independently and cooperatively with others.

The beginning salary will be based on qualifications and experience with benefits provided through The University of Oklahoma (https://hr.ou.edu/Employees/New-Employees-at-OU/OU-Benefits-Overview). The start date for the position is negotiable.

To apply, please forward your resume, cover letter and contact information for 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: Social Scientist Liaison: Warn-on-Forecast and NWS


 

CIMMS Post-Doctoral Research Associate – VortexSE Social Scientist

The Cooperative Institute for Mesoscale Meteorological Studies at The University of Oklahoma seeks a highly qualified postdoctoral research associate 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).

Created by congressional mandate, the purpose of the VSE program is to improve societal resiliency to tornadoes in the Southeastern US. After several years of VSE funding opportunities and workshops, communication and behavior-related objectives have consistently emerged as among the most critical issues for addressing this mission. A scientific steering committee established research priorities for the program, and for the social sciences these include: 1) building in-depth understanding of key intersections contributing to harm identified in prior years; 2) developing evidence-based recommendations for policies to alleviate SE tornado vulnerabilities; and 3) utilizing the findings of the vulnerability research to develop evidence-based recommendations for the best protective actions for members of the public to take under different circumstances. As the primary funding mechanism for VSE remains open competitions with diverse and unconnected projects spanning many social scientific traditions, achieving these priorities will require broader programmatic and scientific coordination. Information on the program can be found: https://www.nssl.noaa.gov/projects/vortexse/.

As part of this opportunity, the postdoc would be invited to: (a) engage with VSE PIs and track their research findings and progress, (b) produce reports or independent analyses synthesizing individual findings into broader lessons learned, (c) propose revised scientific priorities as new knowledge is generated, and (d) propose and plan for activities that transition the research findings into broader research programs or applications.

The ideal candidate for this position would (or soon will) possess a PhD in the social sciences, including (but not limited to) communication, geography, sociology, political science, education, psychology, economics, anthropology, or other fields, and have expertise in topics relating to natural hazards. Experience with field work and/or grants management is especially desirable.

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/employment/WorkingatOU.asp. The start date for the position is negotiable but prior to September 1, 2018.

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 PostDoc


 

CIMMS Research Scientist – Warn on Forecast Numerical Modeler
The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma 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 participate in NSSL’s Warn on Forecast research program.

Background:
CIMMS in collaboration with NSSL is funded to develop and demonstrate the value from a probabilistic ensemble-based convection-resolving model forecast system to help increase lead times for hazardous weather events. Increasing severe thunderstorm, flash flood, and tornado warning lead times is a key NOAA strategic mission goal designed to reduce the loss of life, injury, and economic costs of high impact weather. A successful candidate for this position will conduct a collaborative research program to improve NSSL’s storm-scale NWP efforts by researching improvements and/or alternative approaches to our current convective-scale ensemble and hybrid prediction systems. Candidates will be expected to develop new research efforts in one or more of the following areas: improvement of ensemble performance via algorithm development and/or the use of stochastic approaches, optimizing the use of high-resolution radar and satellite observations for convective scale data assimilation, or the use of machine learning for data assimilation or for post-processing of ensemble output. While a candidate will need to be self-directed, they will work closely with other members of NSSL’s Warn on Forecast team. The candidate will also have opportunities to participate in NOAA’s Hazardous Weather Testbed experiments each year, as well as collaborate with scientists from our partners at the National Weather Center as well as other NOAA laboratories working on high-impact convective weather. The candidate will be expected to present his/her work at national conferences and publish in peer-reviewed journals regularly.

Desired Qualifications:
• PhD in the physical sciences (Physics/Math/Remote Sensing/Meteorology or related area) with professional experience as a scientific researcher and programmer.
• Experience with running numerical weather prediction models and familiarity with ensemble data assimilation methods (WRF/DART and/or GSI-EnKF experience is a plus).
• Proficiency with common programing and scripting languages (emphasis on FORTRAN, CSH, Python languages) in UNIX environments.
• Ability to work and communicate in a team environment effectively.
• Ability to write proposals to obtain funding support for research activities.

The beginning salary will be based on qualifications and experience with benefits provided through The University of Oklahoma (https://hr.ou.edu/Employees/New-Employees-at-OU/OU-Benefits-Overview). The start date for the position is negotiable.

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 Data Assimilation



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