Careers


Research Positions

CIMMS Operations-to-Research Social Scientist or Practitioner

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma seeks an Operations-to-Research social scientist or practitioner with experience driving evidence-based innovations forward within the Weather Enterprise.  Practitioner groups can include, but are not limited to, operational forecasters, emergency managers, and broadcast meteorologists. This position would be at the Research Associate level. This position will work in Norman, OK at the National Weather Center (NWC), a highly collaborative operational, research, and academic environment.

This position will focus on building operations-to-research (O2R) linkages, especially with NWS forecasters, emergency managers, and broadcast meteorologists.  Specifically, the social scientist or practitioner will:

  • Identify operational and end-user needs/questions in support of research/technology development at NSSL, CRCM and CIMMS;
  • Contribute to/assist with coordination of NOAA Hazardous Weather Testbed (HWT) experiments, including the Forecasting a Continuum of Environmental Threats (FACETs) emergency manager experiments;
  • Generate new/innovative methods for producing O2R linkages within the testbed environment;
  • Foster the development of the new WxInsights program, which translates communication-relevant research findings into brief, high-impact stories for broadcast meteorologists;
  • Build/nurture relationships with operational & end-user communities to amplify the impact of NSSL, CRCM and CIMMS research broadly.

In conducting this work, the social scientist or practitioner will bring end-user perspectives to the research conducted at CIMMS, the National Severe Storms Laboratory, and the OU Center for Risk and Crisis Management.  The position is envisioned to provide a strong presence within the Weather Enterprise broadly and demonstrate how operational and end-user concerns can drive weather research programs.

Research Associate Requirements:

  • An M.S. or M.A. in Meteorology, Emergency Management, or in the Social, Behavioral, and Economic Sciences
  • Experience documenting/building end-user and/or operational needs/requirements
  • Experience in a collaborative environment, including work among multiple partner groups and organizations
  • A track record of professional communication experience, including briefings or other routine communications with partners, authoring or co-authoring memos and professional reports, or producing high-quality broadcasts

Preference will be given to candidates with the following kinds of experience:

  • Demonstrated ability to listen to input from multiple stakeholder groups
  • Demonstrated ability to link operational and/or end-user needs with changes to policies, practices, or products
  • Developed innovative methods for communicating the results of research for multiple audiences
  • Strong interest in both meteorology and the social sciences

The beginning salary will be based on qualifications and experience with University benefits. Information on benefits may be found at https://hr.ou.edu/Employees. The start date for the position is negotiable but prior to August 1, 2021.

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:

CIMMS Careers
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
CIMMS-Careers@ou.edu
ATTN: O2R Social Scientist

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


CIMMS Research Associate – Behavioral Data Analyst

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma seeks a social scientist with experience in mixed methods research to participate in user-centered design research, conduct analyses, and author team reports.  This position will work in Norman, OK at the National Weather Center (NWC), a highly collaborative operational, research, and academic environment.

This position will focus on enhancing the quality and impact of BIU research with NWS forecasters, emergency managers, and broadcast meteorologists.  Specifically, the social scientist will:

  • Contribute to NOAA Hazardous Weather Testbed (HWT) experiments, including the Forecasting a Continuum of Environmental Threats (FACETs) user experiments;
  • Conduct analyses of qualitative and quantitative data compiled across several years of experiments;
  • Lead authorship of routine reporting from testbed experiments;
  • Contribute analyses to the new WxInsights program, which translates communication-relevant research findings into brief, high-impact stories for broadcast meteorologists;
  • Contribute to other data analysis and reporting as needed.

In conducting this work, the social scientist will improve the visibility and dissemination of end-user research conducted at CIMMS and the NOAA National Severe Storms Laboratory.

Research Associate Requirements:

  • An M.S. or M.A. in Meteorology, Emergency Management, or in the Social, Behavioral, and Economic Sciences
  • Experience documenting/building end-user and/or operational needs/requirements
  • Experience in a collaborative environment, including work among multiple partner groups and organizations
  • A track record of professional communication experience, including briefings or other routine communications with partners, authoring or co-authoring memos and professional reports, or producing high-quality broadcasts

Preference will be given to candidates with the following kinds of experience:

  • Excellent written and oral communication skills
  • Developed innovative methods for communicating the results of research for multiple audiences
  • Strong interest in both meteorology and the social sciences

The beginning salary will be based on qualifications and experience with University benefits. Information on benefits may be found at https://hr.ou.edu/Employees. The start date for the position is negotiable but prior to August 1, 2021.

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:

CIMMS Careers
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
CIMMS-careers@ou.edu
ATTN: Behavioral Data Analyst

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


CIMMS Research Associate – AWIPS-2 Training Developer

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, on creating technological and meteorological training for National Weather Service (NWS) forecasters and focal points using the Advanced Weather Information Processing System (AWIPS-2). This position focuses on using new AWIPS-2 capabilities and Amazon Web Services (AWS) cloud technology to develop training designed to improve the configuration and use of AWIPS in NWS warning operations.

The duties of this position are:

  1. Developing technical expertise with AWIPS-2 including content of new builds and configuration/installation of AWIPS-2 software,
  2. Develop technical expertise with AWS cloud instances and using them to implement warning-related training,
  3. Collaborate with WDTD instructors in a project-based environment to develop and deliver training on AWIPS-2 with special emphasis on the technology used in NWS warning decision making,
  4. Acquire skills in operation of Linux and Windows workstations and cloud-based computing environments to support developing warning-related training, case studies, and simulations,
  5. Develop expertise with products and applications used in the warning-decision making process including the WSR-88D, MRMS, satellite, lightning and convective-allowing models,
  6. Participate in WDTD training workshops and experimental warning/forecast exercises,
  7. Attend meetings and professional conferences to become knowledgeable of new meteorological applications and to interact with the applied-research community,
  8. Review technical/professional publications and attend seminars to stay abreast of current developments in meteorological applications, and
  9. Perform related duties as

The minimum qualifications for the position are:

  1. A Master’s Degree in Meteorology, Atmospheric Science, or related area; or
  2. A Bachelor’s Degree in Meteorology, Atmospheric Science, or related area and at least three years’ experience in operational meteorology or applied

Emphasis will be placed on applicants with technical skills and experience in areas relating to NWS warning-decision making.

Applicants should identify expertise within any of the following areas: Linux (or Unix) operating systems and cloud technology; programming skills (Bash shell scripting, Python, JAVA, object oriented programming, GIS-based, web-based, etc.); experience in teaching/training; operational experience related to severe weather forecasting and warning; warning-related inputs such as radar, satellite, lightning, and storm-scale models; weather analysis software (such as AWIPS); graphic design or illustration; project management/teamwork; oral and written communication, including collaboration tools; human factors and human performance technology.

Normal working hours will be routinely observed with some occasional irregular hours around workshops and other potential activities. Incumbents will receive training and gain expertise in the latest training technology and warning decision-making methodologies.

Supervision will be provided by CIMMS staff. Technical oversight will be provided by CIMMS staff, NWS meteorologists, and WDTD 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.

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 will be located in Norman, OK with an expected start date of July 2021.

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

CIMMS Careers
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
CIMMS-careers@ou.edu
JOB REFERENCE: WDTD – AWIPS-2

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


CIMMS Research Associate – Severe Convection Group: MRMS & Radar Applications & Data Science

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 development of radar-based data sets for use in the development and evaluation of algorithms for detecting and predicting severe convective storms and their associated hazards.

The duties of the position are:

  1. Development of large radar-based data sets, especially Multi-Radar Multi-Sensor (MRMS)-based data sets;
  2. Initial exploratory analysis of radar-based data sets and developing visualizations of summary statistics for the data;
  3. Evaluation of new or existing algorithms, both radar- and satellite-based, that have applications towards severe convection and associated hazards;
  4. Development of machine learning algorithms for severe convective hazards;
  5. Attend meetings and professional conferences to present research results and interact with collaborators and users;
  6. Meet with collaborators and provide regular summaries of work accomplished;
  7. 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. Minimum Masters Degree in Meteorology or Computer Science or Data Science and Analytics or related areas; preference is for Masters in Meteorology with, at minimum, a certification related to data science, or degree (Bachelors/Masters) mixture of related areas;
  2. Demonstrated experience with statistical software programming (such as R or similar packages in Python) and/or machine learning programming (such as scikit-learn or Tensorflow, or similar packages within R), with at least one-year experience;
  3. Skills related to the interpretation of radar data;
  4. Interest in investigating severe convective storms using big data and data science;
  5. Ability to communicate scientific research through conference presentations, formal publications, and technical documents;
  6. Ability to work both independently and as part of a team that includes co-supervision of undergraduate and graduate research assistants.

Applicants should identify expertise with any of the following areas: Weather Radar Data and Principles; Lightning Data and Principles; Remote Sensing and Satellite Data and Principles; Severe Local Storms; Statistics; Data Science; Machine Learning. 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 and programming skills, especially experience with supercomputing and/or cloud environments, use of radar data, or other meteorological data, beyond simple display, and experience with statistical and machine learning software.

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 https://hr.ou.edu/. The position is expected to begin August 2021.

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

CIMMS Careers
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
CIMMS-Careers@ou.edu
ATTN: SCG Radar Data Science

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


CIMMS Research Scientist – Atmospheric Science Studies to Improve Short-Term Tornado Prediction

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma (OU) working collaboratively with NOAA’s National Severe Storms Laboratory (NSSL) is currently looking for a highly-qualified Research Scientist to contribute to research aimed at improving the understanding of potentially tornadic storms at 20 minute to 2 hour lead times. The incumbent will lead or co-lead studies focusing on the atmospheric processes of tornado producing storms using large observational data sets and numerical models (idealized and/or convection-allowing/resolving forecast models). The incumbent will work directly with research scientists at NSSL and CIMMS, and will be encouraged to collaborate actively with scientists from other institutions when appropriate. To meet needs related to severe storm process studies, the incumbent will participate in field observing campaigns and lead components of those campaigns. The incumbent will mentor students, including serving on graduate committees when appropriate. The position will be based at NSSL in Norman, OK within the National Weather Center (NWC), a highly collaborative forecasting, research, and academic environment containing a number of NOAA and OU organizations.

The principal duties of this position are:

  1. Seek improved signals of tornado potential by examining WSR-88D and MRMS data, as well as other routine observational data sets as appropriate.
  2. Perform idealized modeling (e.g. with CM1) to refine understanding of the processes of tornado formation, and the role of antecedent storm evolution and environmental inhomogeneity on those processes.
  3. Explore processes related to tornado potential identified in forecasts produced by the NSSL Warn-on-Forecast System (WoFS).
  4. Participate in the planning and execution of field programs to improve understanding of severe storm processes.
  5. Contribute to scientific publications and present scientific results at professional off-site conferences, workshops, and symposia.
  6. When appropriate, mentor students and other researchers and participate in graduate student committees.

The minimum qualifications for the position are:

  1. A Ph.D. in meteorology or atmospheric science.
  2. Expertise in use of CM1 or similar idealized modeling to understand supercell processes and the relationship between storms and their environments.

Preferred qualifications for the position are one or more of the following:

  1. Experience using convection-allowing ensembles of forecast models (e.g. WoFS) to explore severe storm processes.
  2. Expertise in single-radar analysis and use of MRMS analyses
  3. Expertise in analysis of observational data from field experiments.
  4. Experience with Unix, programming (e.g., Fortran, C, C++), and scripting (e.g.  Python, NCL).

Normal working hours will be observed except for irregular hours during field data collection and/or conferences/workshops conducted at remote sites. The incumbent will work under general supervision in order to satisfy the objectives of various research grants and programs, and is expected to contribute to field efforts as needed.

The beginning salary for this position will be based on qualifications and experience and will include University benefits. Information on benefits may be found at: http://hr.ou.edu/.  The expected start date for the position is no later than September 2021.

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:

CIMMS Careers
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
CIMMS-Careers@ou.edu
ATTN: Tornado Prediction


Post-Doctoral Research Positions


Software Developer Positions

CIMMS Cloud Computing Engineer – MRMS

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) seeks to fill a Research Associate position for its collaborative research with scientists at 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 for this position will assist with the research into methods for transitioning the MRMS system into a cloud computing environment.

The principal duties of this position are:

  • Develop technical expertise with the MRMS system and with the various processes and programs that make up the MRMS system;
  • Engineer software, procedures and processes for the ingest of real-time data into a cloud architecture and the effective and efficient cloud/network based storage of said data;
  • Research and explore methods for improving system performance of the MRMS system in a cloud computing environment;
  • Acquire and/or apply skills in the operation of Linux workstations, virtual machines as well as various forms of network communications, networked storage and cloud computing paradigms in support of these principal MRMS duties;
  • Work closely with other groups and organizations to understand current and future data needs and requirements;
  • Perform related duties as assigned.

The minimum qualifications for the position are:

  • A Bachelor’s degree in Computer Science, Software Engineering, or related area and at least three (3) years of full time related experience OR Master’s Degree in Computer Science, Software Engineering, or related area and at least one (1) year of full time related experience;
  • AWS Practitioner Certification (AWS Associate Certification preferred) with at least one (1) year of full time work experience;
  • Strong familiarity with the UNIX/Linux operating environment and system administration skills;
  • Computer programming skills with languages and areas such as C++, Python, Object Oriented Programming, scripting, Git, Jenkins, and software support;
  • Permanent Resident status or US citizenship is required.

Applicants should identify experience with the above qualifications in their written statements. Other preferences include; familiarity and/or skills with Kubernetes, Docker, Terraform, Ansible or Puppet a plus, experience debugging and/or troubleshooting software and hardware issues, experience working with complex software applications and network communications. 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.  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:

CIMMS-Careers
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100 Norman, OK 73072-7304
CIMMS-Careers@ou.edu
ATTN: MRMS Cloud Computing Engineer


CIMMS Research Associate Radar Applications Developer

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at the University of Oklahoma is currently seeking a Research Associate to work with scientists within the National Severe Storms Laboratory’s (NSSL) Radar Research & Development Division (RRDD). At NSSL, RRDD works closely with the Radar Operations Center (ROC) and other partners to develop and transition to operations scientific applications, algorithms, and applied research that advance the suite of weather radar products available operationally to National Weather Service forecasters. The transition of applications from NSSL to the ROC requires that software be written using ROC coding requirements. Thus, this position requires both meteorological and coding expertise to bridge the development and transition of new applications from NSSL to the ROC.  RRDD also leads research on phased array radar, which is being explored as a next-generation system for NOAA. This position also includes working with scientists to evaluate the data quality and rapid- and adaptive-scanning benefits of the Advanced Technology Demonstrator, an experimental dual-polarized phased array radar.  This position will work in Norman, OK at the National Weather Center (NWC), a highly collaborative operational, research and academic environment.

The duties of this position are:

  1. Work with scientists to transition scientific algorithms developed under the Radar Product Improvement (RPI) program into their operational prototypes.
  2. Work with scientists to evaluate the data quality and rapid- and adaptive-scanning benefits of phased array radar.
  3. Participate in the development of science applications by testing and by providing necessary feedback to the scientists and algorithm developers.
  4. Participate in the development of science applications by providing and processing data as requested to scientists and algorithm developers.
  5. Provide input and share expertise for basic and applied research activities, software development, and the use of novel software products.
  6. Attend relevant meetings and develop presentations on the work being performed. Stay up to date on related software and participate in planning future work and enhancements.

Minimum Requirements:

  • A Bachelor’s Degree with at least three (3) years of full time related experience or Master’s Degree in Computer Science, Meteorology or related area
  • Ability to efficiently use the Linux operating system
  • Ability to write, compile, and run code in C and/or C++ within the Linux operating system
  • Experience programming independently in Perl and/or Python
  • Basic understanding of dual-polarization weather radar use and principles
  • Ability to describe basic radar data collection (e.g., Elevations, Volumes, Radials, Gates, and RHI’s)
  • Ability to describe weather radar outputs (reflectivity, Doppler velocity, spectrum width, differential reflectivity, differential phase, and correlation coefficient) and their basic interpretation and use
  • Basic understanding of the NWS process for issuing severe weather warnings

Department Preferred Skills:

  • Three years of demonstrated experience programming independently in C or C++
  • Two years of demonstrated experience programming independently in Perl or Python
  • Ability to modify and install GNU Automake into new software projects
  • Detailed understanding of valgrind, a Linux software tool
  • Ability to name and define the ORPG, RDA, and AWIPS
  • Ability to name and define the meaning and use of QPE, HCA, ML, and SCIT
  • Basic understanding of radar signatures and artifacts (e.g., melting layer, clutter contamination, storm types, freezing rain, zero isodop, and radar miscalibration)
  • Good presentation, technical writing skills, and reporting habits

Supervision will be provided by CIMMS staff.  Technical oversight will be provided by CIMMS staff and NSSL Federal staff.  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:

CIMMS-Careers
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
CIMMS-Careers@ou.edu
ATTN: Radar Applications Developer

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


CIMMS Research Associate – Data Visualization and Verification

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) seeks to fill a Research Associate position for its collaborative research with scientists at 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/). This position will work in Norman, OK at the National Weather Center (NWC), a highly collaborative operational, research and academic environment.

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 for this position will assist with the research into methods for using cloud and web-based tools for data visualization and verification of the various data output from the MRMS system.

The principal duties of this position are:

  • Develop technical expertise with the current MRMS web visualization system and with the various processes, programs, and data flow that constitute the existing system;
  • Research and explore new web-based software, approaches and methods for visualizing real-time data generated by the MRMS system in a cloud computing environment;
  • Research and explore methods for improving system performance of the MRMS web based visualization system in a cloud computing environment;
  • Work closely with other groups and organizations to understand current and future data visualization requirements;
  • Perform related duties as assigned.

The minimum qualifications for the position are:

  • A Bachelor’s Degree with at least three (3) years of full time related experience or Master’s Degree in Computer Science, Physics, or other statistics based science related area;
  • Experience with development and implementation of web-based applications using HTML5, CSS3, JS and PHP or node.js.;
  • Strong familiarity with the UNIX/Linux operating environment and version control services like git, redmine, or subversion;
  • Programming skills with web languages and development areas such as React, Angular, web graphics and plotting, front-end development, back-end development, scripting, and software support.

Applicants should identify experience with the above qualifications in their written statements. Other preferences include; experience debugging and/or troubleshooting software issues, experience working with complex software systems, skills with docker/containers and AWS a plus. Excellent oral and written communication skills are highly desired as well as ability to work both independently and cooperatively with others. Please include links to a portfolio of current work, or to any projects you have played a major role in creating.

Supervision will be provided by CIMMS staff.  Technical oversight will be provided by CIMMS staff and NSSL Federal staff.  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:

CIMMS-Careers
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
CIMMS-Careers@ou.edu
ATTN: Data Visualization and Verification

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


CIMMS Radar Software Developer

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma 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 contribute to the Advanced Technology Demonstrator (ATD) project (https://www.nssl.noaa.gov/tools/radar/atd). This position is based at the NSSL in Norman, OK, within the National Weather Center.

Background:

NSSL and CIMMS have long collaborated to conduct pioneering research to advance radar technology for meteorological applications. The ATD is a recent example of this effort: it is a full-scale, dual-polarized, phased-array weather radar. The incumbent in this position will contribute to the development of real-time control, monitoring, and processing software in support of research activities related to the ATD. This position does not require specialized knowledge of radar engineering, radar meteorology, remote sensing, or atmospheric science.

Responsibilities:

The incumbent will:

  • Collaboratively work in an interdisciplinary team of engineers and scientists to design, implement, document, test, troubleshoot, and maintain weather-radar application software in support of the CIMMS and NSSL missions.
  • Acquire and apply knowledge of the existing codebase and of applicable software-development methodologies.

Required Qualifications:

  • A Master’s degree in computer engineering, computer science, or closely related field OR a Bachelor’s degree in the same fields with at least 2 years of fulltime relevant experience.
  • Demonstrated computer programming skills, with at least one year of experience programming with C or C++.
  • Demonstrated experience developing engineering and/or scientific software applications.
  • Strong oral and written communication skills.
  • The ability to work both independently and cooperatively in an interdisciplinary team.

Preference will be given to candidates who have experience in one or more of the following: programming with Linux, programming with Java, programming with MATLAB, debugging and/or troubleshooting software (e.g., using gdb, ddd, and valgrind), testing complex software applications, programming with real-time embedded systems, and optimizing software for performance.

The starting salary will be based on qualifications and experience, with benefits provided through the University of Oklahoma (https://hr.ou.edu/). 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 describing relevant computer engineering experience, and contact information for three references to:

CIMMS-Careers
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
CIMMS-Careers@ou.edu
ATTN: Radar Software Developer 2021


Engineering Positions