Careers

 

CIMMS Research Scientist

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. Prior to fielding a full-scale MPAR “Advanced Technology Demonstrator (ATD)” in 2018, analysis and high-fidelity simulations are needed to address key technical issues. Two important issues are maintaining the high data quality provided by the current operational weather radars (WSR-88D), and developing “command and control (C2)” capabilities that will manage MPAR’s timeline to meet the mission requirements of all stakeholder agencies. 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 efficient scanning. As appropriate, he/she will exploit test assets at NSSL, OU or industry facilities to perform measurements and quantitative analysis of these techniques. The incumbent will lead the development of one or more MPAR simulators that will enable implementation, test and demonstration of C2 and data quality control approaches. Within reason, these simulators will support technique development and demonstration at a level of fidelity approaching that of a radar testbed. The incumbent will assess the trade-space between the C2 approaches used and output data quality, considering impacts on two-way antenna sidelobes, weather parameter estimate variance, range-Doppler ambiguities and polarimetric variable bias. The incumbent’s efforts will thereby support development of C2 strategies that are operationally acceptable from both timeline management and data quality perspectives. It is expected that the incumbent will publish results in peer-reviewed literature 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 operations 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.

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

 


 

CIMMS Research Associate – Radar Software Engineering

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma is currently looking for a Research Associate to conduct collaborative research with the National Oceanic and Atmospheric Administration (NOAA) Office of Oceanic and Atmospheric Research (OAR) National Severe Storms Laboratory (NSSL) in Norman, Oklahoma. The Research Associate will contribute to various Research & Development activities within NSSL’s Radar Research and Development Division (RRDD) associated with the Multifunction Phased Array Radar (MPAR) program and the WSR-88D Radar Product Improvement program.

Duties:
1. Serve as a Radar Software Engineer within the Radar Research and Development Division (RRDD) of the National Severe Storms Laboratory (NSSL).
2. Work in an interdisciplinary team of engineers and scientists to plan, design, develop, test, and maintain software applications related to operational and experimental weather radars in support of CIMMS and NSSL’s missions.
3. Conduct research and evaluate emerging software technologies, assist with management of software-development projects, and document software-development work in the form of drawings, diagrams, and/or written text.
4. Perform related duties as assigned.

Minimum Qualifications:
1. A Master’s Degree in Electrical Engineering, Computer Engineering, Computer Science, Information Technology, Mathematics, or related area
2. Or a Bachelor’s Degree in Electrical Engineering, Computer Engineering, Computer Science, Information Technology, Mathematics, or related area, and at least three years’ experience in software engineering and development, or related area
3. Understanding of software design, development, and testing principles
4. Strong knowledge and experience in C and/or C++
5. Knowledge of Linux/Unix Operating System
6. Experience in programming engineering and/or scientific applications
7. Ability to work independently and as a part of a diverse team
8. Strong interpersonal communication skills (written and verbal)

Preferred Qualifications:
Applicants should identify experience and expertise with any of the following areas: all programming experience, such as Linux, Java and MATLAB, debugging and/or troubleshooting software using tools like gdb, ddd, valgrind, etc., testing complex software applications, programming with real-time embedded systems, programming firmware, and optimizing software.

Supervision will be provided by CIMMS staff. Technical oversight will be provided by CIMMS staff, and NSSL Federal staff and management. The incumbent will work under general supervision but is expected to determine action to be taken in handling all but unusual situations. Incumbents in this position are not expected to supervise other employees, but may serve as leaders

The salary for this position is competitive and will be based on experience, skills, and knowledge. Information on University benefits may be found at http://hr.ou.edu/Employees/New-Employees-at-OU/OU-Benefits-Overview.

To apply for the position, please forward your resume, cover letter and list of three references to:
Tracy Reinke
Executive Director, Finance and Operations
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
JOB REFERENCE: Radar Software
treinke@ou.edu

 


 

Research Associate – Satellite Warning Decision Making

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma is currently seeking a Research Associate to collaborate with scientists and instructors at the National Weather Service (NWS) Warning Decision Training Division (WDTD) in Norman, OK. The Research Associate will help provide expertise in leading meteorological support for training and education efforts in applying the latest satellite, including GOES-R and JPSS series, data to the warning decision making process.

The duties of this position are:

  1. Develop an understanding of the warning decision making process.
  2. Acquire skills in the operation of Linux, Windows workstations, and virtual machines.
  3. Work with the NWS Office of the Learning Officer (OCLO) and the GOES-R and JPSS proving grounds to develop materials for warning decision making training, and to meet the following performance objectives:
    • Interpret new satellite imagery, data, and derived products at higher spatial, spectral and temporal resolution for identification of hazards related to critical weather observations used for warnings and forecasts.
    • Integrate the application of satellite data into the NWS operational warning process.
  4. As part of the training development, the Research Associate will:
    • Integrate satellite data and products into short-term (<6 hours) updates to NWS grids to facilitate situational awareness.
    • Develop collaborative multi-office simulations to support distributed decision making using satellite data and products.
    • Generate multi-office simulations to leverage new WES2 capabilities to reach WFOs, RFCs, Centers, and Partners such as Government decision makers and responders.
    • Serve as the training POC for the Hazardous Weather Testbed (HWT) “Tales of the Testbed” continuous learning webinars.
    • Develop and deliver training to HWT visiting SOOs/DOHs and forecasters.
    • Work with the Storm Prediction Center (SPC) satellite liaison to train WFO forecasters, SOOs, and RFC DOHs on integrating satellite data into the warning satellite liaison to develop improved AWIPS2 visualization displays and operational techniques (Research to Operations).
    • Work with the other satellite liaisons to produce high quality training and to enhance collaboration between WDTD and Centers/Regions.
    • Work with FDTD and COMET as a subject matter expert (SME) for ongoing satellite training for worldwide users.
  5. Participate in experimental warning/forecast exercises and WDTD training workshops.
  6. Attend meetings and professional conferences to understand new meteorological applications and to interact with the applied-research community.
  7. Review technical and professional publications, and attend seminars to stay abreast of current developments in meteorological applications.
  8. Perform related duties as assigned.

The minimum qualifications of this position are:

  • A Master’s Degree in Meteorology, Atmospheric Science, or related area;
  • Emphasis will be placed on applicants with considerable computer experience.

Applicants should identify expertise with any of the following areas:

  • Linux (or Unix) operating systems and programming skills (e.g., Python, other object oriented programming, Databases, GIS, web-based, etc.)
  • Emphasis will be placed on applicants with considerable experience in satellite meteorology and its applications to NWS forecast office operations.
  • Human factors/human evaluation
  • Graphic design or illustration
  • Oral and written communications
  • Severe weather, flash flood forecasting, winter weather
  • Warning decision making
  • Working with meso-scale or storm-scale modeling
  • Project management, teamwork

Supervision will be provided by CIMMS staff. Technical oversight will be provided by CIMMS staff, NWS meteorologists, and WDTD management. The appointee will work under general supervision, but is expected to determine action to be taken in handling all but unusual situations. Incumbent can be involved in more than one project.

Normal working hours will be observed except for occasional irregular hours during data collection, warning/forecast experiments, or workshops conducted at remote sites.  Incumbents will receive training and gain expertise in the latest training technology and warning decision-making methodologies.  Training will occur at the OU Cooperative Institute for Mesoscale Meteorological Studies (CIMMS, Norman, OK). Incumbents in this position are not expected to supervise other employees, but may serve as leaders of technical teams.

The beginning salary is commiserate with education and experience and comes with University of Oklahoma benefits.  Information on benefits may be found at http://hr.ou.edu/benefits/default.asp. The anticipated start date is July 2017.

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

Tracy Reinke
Executive Director, Finance and Operations
University of Oklahoma CIMMS
120 David L. Boren Blvd. Suite 2100
Norman, OK 73072-7304
treinke@ou.edu
Job Reference: WDTD Satellite

 


The University of Oklahoma CIMMS Research Associate/Scientist

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma (OU) seeks to fill a Research Associate/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) at the National Weather Center in Norman, Oklahoma. The Research Associate/Scientist will contribute to NSSL’s Warn-on-Forecast and Spectrum Efficient National Surveillance Radar (SENSR) research effort.

Background:

The SENSR is a replacement surveillance capability that seeks to address the reallocation and sharing of federal set-aside radio frequency spectrum, cross-agency mission efficiency, national radar consolidation and reduced overall life cycle cost. An important goal of this effort is to evaluate the impact of assimilating weather radar data collected by the adaptive and rapid-scan Phased Array Radar (PAR) technology, which is at least 4-5 times faster than the scanning rate of the current operational WSR-88D, on convective-scale forecasts, using the prototype Warn-on-Forecast system.  The incumbent in this position will study the impact of PAR storm observations on the convective-scale ensemble forecasting system’s depiction and forecast of storm location, motion, mode, attributes, etc. that ultimately may be used to increase warning lead times for threats related to severe and hazardous convective weather, e.g., tornadoes, flash floods, large hail and damaging winds. The work will be performed in close collaboration with scientists at OU’s Center for Analysis and Prediction of Storms (CAPS). The dynamic research and operational working environment at the National Weather Center will provide the candidate with ample opportunities for career advancement.

 Responsibilities:

The incumbent will conduct experiments on how to best assimilate high-temporal-resolution PAR storm observations in a convective-scale numerical model using an ensemble-based data assimilation approach.

The incumbent will publish the results in peer-reviewed literature and present them at conferences.

Required Qualifications:

  1. A MS Degree (or higher) in meteorology, atmospheric science or closely related area.
  2. Experience with convective-scale numerical weather prediction (NWP) models (WRF-ARW), ensemble data assimilation software (e.g. GSI EnKF, DART) and severe convective weather.
  3. Experience with Linux (or Unix) operating systems, programming (e.g., Fortran, C, C++) and scripting (e.g. Python, NCL) skills.
  4. Excellent oral and written communication skills (including papers published in or submitted to refereed journals) and an ability to work both independently and cooperatively with others.

Salary and title will be competitive depending on experience and qualifications with University of Oklahoma benefits. Information on benefits may be found at http://hr.ou.edu/Employees/New-Employees-at-OU/OU-Benefits-Overview. The start date for the position will be as soon as possible.

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: SENSR MAY 2017



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