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. 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 Scientist – Warn-on-Forecast HWT

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) in Norman, Oklahoma. The Research Scientist will contribute to NSSL’s Warn-on-Forecast (WoF) program.

Background:
The vision of the WoF program is to develop and test a probabilistic storm-scale, ensemble-based forecast system with the goal of increasing warning lead times 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. Experiments within NOAA testbeds, such as the Hazardous Weather Testbed in Norman, OK, are needed to explore and assess operational applications of the experimental WoF system, especially within ‘watch-to-warning’ temporal and spatial scales. Such assessments 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 experiments within NOAA testbeds to explore and test operational applications of the experimental WoF system from a user’s perspective; collaborate with NOAA forecasters and other users (e.g., EMs) to evaluate the usability, usefulness, strengths, and limitations of the system’s ensemble-based forecast guidance; collaborate with social scientists and model developer’s to contribute toward the production of a WoF system prototype ready for transfer to operations; publish the results in peer-reviewed literature; and present at conferences.

Required Qualifications:

  1. A Ph.D. (or be in the final stages of dissertation completion before applying) in meteorology, with some coursework in industrial engineering or cognitive psychology.
  2. Research experience designing and conducting experiments with a NOAA testbed to assess the usability and usefulness of new weather technologies.
  3. Experience with qualitative and quantitative data collection and analysis methods and tools (e.g., Recent Case Walkthrough; workload assessments; eye tracking; coding; R).
  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: WoF HWT Research Scientist


CIMMS Research Scientist – MRMS

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) seeks to fill a Research Scientist 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 an operational Multi-Radar Multi-Sensor (MRMS) system that assimilates radar, rain gauge, lightning, satellite and atmospheric environmental data and generates 1-km and 2-min resolution severe weather and quantitative precipitation estimation (QPE) products. The high-resolution precipitation products are critical for flood/flash flood warnings and for water resource management.

The principal duties of this position are:

  • Develop and maintain a long-term analysis of record of high-resolution MRMS QPE products.
  • Analyze the long-term data record and study characteristics of flood/flash flood events and their impacts
  • Develop and test algorithms for quantitative precipitation estimates and flash flood in the MRMS system
  • Attend meetings and professional conferences to present research results and contribute to technical documents and scientific publications.

 
The minimum qualifications for the position are:

  • A PhD in Meteorology, Atmospheric Science, Computer Science or related area.
  • Emphasis will be placed on applicants with scientific programming experience on UNIX/Linux using a high-level language (e.g. C++, Java, Python) and/or applicants with some experience with machine learning.

Applicants should identify experience with analysis and interpretation of weather radar data.  Excellent oral and written communication skills are highly desired.

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 https://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
treinke@ou.edu
ATTN: MRMS September 2017


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


University of Oklahoma Post-Doctoral Research Associate – Warn-on-Forecast Vortex-SE
The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) 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) in Norman, Oklahoma. The Post-Doc will contribute to NSSL’s Warn-on-Forecast (WoF) and Verification of the Origins of Rotation in Tornadoes Experiment – Southeast (V-SE) programs.
Background:

The vision of the WoF program is to develop a probabilistic storm-scale, ensemble-based forecast system with the goal of increase warning lead times for threats related to severe and hazardous convective weather, e.g., tornadoes, large hail, damaging winds, and flash floods. Prediction of severe storms can be particularly challenging in the SE U.S.; this is one motivation for the V-SE program. The low-CAPE, high-shear regime common in the SE promotes smaller storm updrafts that are poorly resolved in current models. Coarse model resolution also limits forecasts of fine-scale planetary boundary layer (PBL) processes important to storm initiation and evolution. This motivates exploration of the impact of finer model resolution on storm prediction in the SE U.S. Toward that end, scientists at the Earth System Research Laboratory Global Systems Division (GSD) are developing a scale-aware PBL scheme to better leverage finer model grids.
Responsibilities: 

The incumbent will use EnKF data assimilation to generate analyses and probabilistic short-range forecasts of convective events; collaborate with NOAA Storm Prediction Center forecasters to evaluate the impact of reducing model grid spacing from 3 km to 1 km; collaborate with GSD scientists to evaluate the impact of scale-aware PBL physics; publish the results in peer-reviewed literature; and present at conferences.
Required Qualifications:

  1. A Ph.D. (or be in the final stages of dissertation completion before applying) in meteorology, atmospheric science or related area.
  2. Research experience with storm-scale numerical weather prediction and ensemble data assimilation.
  3. Experience with Linux/Unix, programming (e.g., Fortran, C, C++), and scripting (e.g. Python, NCL).
  4. Excellent oral and written communication skills (including papers published in or submitted to refereed journals) and the ability to work both independently and cooperatively with others.

The beginning salary range will be $54,000-$57,000 per year (depending on 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. Start date for the position will be as soon as the candidate can begin work. The position will remain open until filled.
This position is a full-time, one-year appointment and is funded by a partnership between NOAA and the University of Oklahoma through CIMMS. The appointment may be extended for one additional year subject to satisfactory performance and funding availability.

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 V-SE 07-17



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