Careers

Current Listings (19)

Research Positions

CIMMS Research Scientist – Warn-on-Forecast
CIMMS Research Scientist – MRMS Severe Weather
CIMMS Research Associate – Severe Convective Weather Radar Applications
CIMMS Research Associate – MRMS Severe Weather Applications
CIMMS Research Scientist – Social Scientist Liaison for Warn-on-Forecast and NWS
CIMMS Research Associate – Hazardous Weather Prediction
CIMMS Research Scientist – Hazardous Weather Prediction

Post-Doctoral Research Positions

CIMMS Peter Lamb Postdoctoral Fellowship
CIMMS Post-Doctoral Research Associate – FACETs
CIMMS Post-Doctoral Research Associate – Decision Support for the Alaska Marine Community
CIMMS Post-Doctoral Research Associate – Warn-on-Forecast Landfalling Tropical Cyclones
CIMMS Post-Doctoral Research Associate – Social Scientist Tornado Warning Improvement

Software Developers

CIMMS Research Associate – Scientific Programmer for Developing & Integrating Warn-on-Forecast Guidance into AWIPS 2
CIMMS Research Associate – ARM Data Quality Office
CIMMS Research Associate – Meteorological Software Developer
CIMMS Research Associate – MRMS Software Developer
CIMMS Research Associate – MRMS Dataflow Software Developer

Radar Engineers

CIMMS Research Associate – Radar Hardware Engineering
CIMMS Research Associate – Radar Software Engineering


 

Research Positions

CIMMS Research Scientist – Warn-on-Forecast

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at the University of Oklahoma (OU) is currently seeking an experienced Research Scientist to provide scientific and meteorological expertise for collaborative work to advance NSSL’s storm-scale data assimilation and prediction science within the NOAA Warn-on-Forecast project. Specifically, research will focus on improving short-term predictions of high impact severe convective storms, heavy rainfall, landfalling tropical cyclones and other hazardous weather associated with convective storms. This research will require close collaboration with the Storm Prediction Center, NOAA’s Global Systems Division at the Earth Systems Research Laboratory, and the Environmental Modeling Center in College Park, Maryland. A successful candidate for this position will need high-level abilities to diagnose and understand differences in forecasts between various modeling and data assimilation systems, through expertise in mesoscale and storm-scale dynamics and convection allowing models. Also required are high-level abilities to assess the capabilities of models to properly depict mesoscale convective systems and land-falling tropical cyclones and their attendant hazardous weather, and the ability to develop diagnostics for those weather hazards from convective models. The emphasis of the research will be on Warn-on-Forecast applications (e.g., 0-6 h forecasts of severe wind gusts, storm-scale vortices within mesoscale convective systems, and tornadic supercells within TC rainbands). The position will be based at the National Severe Storms Laboratory (NSSL) in Norman, OK within the National Weather Center, a highly collaborative operational, research, and academic environment containing a number of NOAA and OU organizations.

The principal duties of this position are:
1. Conduct original research and solicit funding for new research on diagnostics, verification, and predictability for frequently updating storm scale data assimilation and prediction systems with a focus on understanding model dynamics and representation of physical processes associated with extreme high impact weather.
2. Collaborate with NOAA testbeds such as the Hazardous Weather Testbed, Hydro-Meteorological Testbed, and Aviation Weather Testbed, to design real-time forecasting experiments using experimental storm-scale modeling and data assimilation systems, and lead/organize post-experiment evaluations.
3. Contribute to scientific publications and attend off-site conferences, workshops, symposia and NOAA testbed-related outreach events as needed.
4. Provide leadership within CIMMS and the Forecast Research and Development Division of NSSL through mentorship of students and junior colleagues.

The minimum qualifications for the position are:
1. A PhD in Meteorology, Atmospheric Science, or related area.
2. Demonstrated excellence in mesoscale and convective-scale dynamics via his/her publication record and conference presentations.
3. Experience with mentoring students and/or colleagues in these areas.

Excellent oral and written communication and public speaking skills are highly desired, as well as proficiencies in weather visualization software (e.g., GrADS, NCL, GEMPAK, etc.) and coding languages like Python and/or Fortran. Applicants should identify experience in graphic design/visualization, programming and scripting languages, as well as skills using numerical weather prediction models.

Normal working hours will be observed except for occasional irregular hours during data collection, warning/forecast experiments or workshops conducted at remote sites. CIMMS staff will provide general supervision with technical oversight provided by NSSL staff and management. The incumbent works under general supervision, but is expected to work independently and determine action to be taken in handling all but unusual situations.

The beginning salary is commensurate with educational background and experience, with OU benefits. Information on OU benefits can be found at http://www.hr.ou.edu/ .

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

Tracy Reinke, Executive Director, Finance and Operations
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
treinke@ou.edu
Attn: Warn-on-Forecast


CIMMS Research Scientist – MRMS Severe Weather

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

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

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

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

Normal working hours will be observed except for occasional irregular hours during data collection, warning/forecast experiments or workshops conducted at remote sites. Incumbents will receive training and gain expertise in the latest radar and other remote sensing technology and warning decision-making.

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

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

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

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


CIMMS Research Associate – Severe Convective Weather Radar Applications

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 and testing of new severe weather applications for the detection and diagnosis of tornadoes and hail.

The duties of this position are:
1. Development of new applications and techniques for the analysis of WSR-88D data, including tornado and mesocyclone detection algorithms;
2. Evaluation of existing Radar-based products and applications, specifically focusing on data quality control and short-term nowcasting (0-2 hour) of severe and convective events;
3. Acquire and apply expertise in severe local storms and the warning-decision-making process;
4. Attend meetings and professional conferences to present research results and interact with collaborators and users;
5. Meet with collaborators and provide regular summaries of work accomplished;
6. Review technical and professional publications and attend seminars to stay abreast of current developments in meteorological and remote sensing science;
7. Plan and execute the evaluation of new applications and techniques in the Hazardous Weather Testbed.

The minimum qualifications for the position are:
1. A Masters Degree in Meteorology, Atmospheric Science, Geographic Information Systems, or related area;
2. Computer programming and scripting experience (e.g. C++, Java, Python);
3. Skills in the interpretation of weather radar data.

Applicants should identify expertise with any of the following areas: Computer Programming; Weather Radar; Visualization; Geographic Information Systems; Warning Decision Making; MRMS; WDSS-II. Good oral and written communication skills are needed for the position. Please indicate experience with Linux (or UNIX) operating systems and programming skills (including application development and scripting).

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.

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. Incumbents in this position are not expected to supervise other employees, but may serve as leaders of technical teams.

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

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

Tracy Reinke
Executive Director, Finance and Operations
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
treinke@ou.edu
ATTN: Severe Weather Radar Applications


CIMMS Research Associate – MRMS Severe Weather Applications

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

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

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

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

Normal working hours will be observed except for occasional irregular hours during data collection, warning/forecast experiments or workshops conducted at remote sites. Incumbents will receive training and gain expertise in the latest radar and other remote sensing technology and warning decision-making.

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

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

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

Tracy Reinke
Executive Director, Finance and Operations
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
treinke@ou.edu
ATTN: MRMS Severe Weather Applications


CIMMS Research Scientist – Social Scientist Liaison for Warn-on-Forecast and NWS

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) seeks to fill a Social Scientist Research 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 successful candidate will lead and conduct end-user-focused research as a part of the NSSL’s Warn-on-Forecast (WoF) program, and in doing so, serve as the Warn-on-Forecast liaison between NSSL and the broader NOAA National Weather Service (NWS) community.

Background:
The vision of the WoF program is to develop, test, and transition to operations a probabilistic storm-scale forecast system with the goal of providing continuous forecast guidance between the ‘watch-to-warning’ temporal and spatial scales for hazardous convective weather such as tornadoes, large hail, damaging winds, and extreme rainfall. An experimental WoF system has recently been developed and is early in its testing phase.

It is important that the probabilistic forecast guidance provided by the system is usable and useful to NWS forecasters and other stakeholders, like broadcast meteorologists, emergency managers, and others. Social science research engaging forecasters at operational WFO and other locations is needed to determine the feasibility of transitioning a WoF system to operations. Currently we are working mostly with the Norman, OK WFO to test the system’s usability in an operational environment.

We are looking for a social scientist interested in expanding the breadth and depth of research-to-operations studies that engage users at multiple NWS offices and centers. In particular, we are looking for a social scientist with experience designing and conducting end-to-end research studies, ideally within the weather enterprise. These studies will be aimed at addressing research questions such as: What spatio-temporal information gaps are most challenging in the generation and delivery of forecasts? What are forecasters’ baseline interpretations of probabilistic forecast guidance from ensemble systems? What types of tools, products, and visualizations are best for the interpretation and use of rapidly updating probabilistic forecast guidance? Methods for examining these types of questions may include usability testing experiments, surveys, interviews, focus groups, and/or observational studies with both forecasters and end-users (i.e., broadcast meteorologists and emergency managers). Results from these studies will provide feedback on how to enhance usability of the WoF system that will then be used to improve system development.

Responsibilities:
The incumbent will design and conduct studies within NOAA NWS offices and centers to explore and test operational usability of the WoF system. This work will include aspects such as: 1) visualization of system output, 2) forecasters’ 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. This responsibility includes traveling to and conducting research within NWS offices and centers as needed. 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. or near completion of a Ph.D in (but not limited to) Cognitive Psychology, Social Psychology, Industrial Engineering/Human Factors Engineering, Communication/Risk Communication, Anthropology/Ethnography, Science and Technology Studies.
2. Research experience completing end-to-end exploratory work or experiments in a controlled setting or field setting (both are not required, but would be ideal). Experience should include: generating ideas, designing studies, obtaining IRB approval, conducting studies, and analyzing data.
3. Ability to coordinate experimental activities with the NOAA NWS and travel to NWS offices or centers to conduct research, as needed. Travel will be based on the specific projects/studies designed.
4. Experience conducting data collection and analysis in a collaborative environment (i.e., observation, user evaluation, etc.). Data analysis experience should include working with both quantitative and qualitative data.
5. Excellent oral and written communication skills (including papers published in or submitted for publication to refereed journals, and conference presentations).
6. An ability to work both independently and cooperatively with others.

The salary for this position is very competitive and will be based on experience, skills, and knowledge. Information on University benefits may be found at https://hr.ou.edu/. The start date for the position is negotiable.

To apply, please forward your resume/CV, 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 for Warn-on-Forecast and NWS


CIMMS Research Associate – Hazardous Weather Prediction

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma (OU) is currently looking for multiple Research Associates to work with the NOAA/Storm Prediction Center (SPC). Research Associates in these positions will provide scientific and meteorological expertise, as well as technical support for the development of advanced mesoscale hazardous weather prediction techniques. The positions will be based at the Storm Prediction Center (SPC) 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 incumbent will work directly with development meteorologists and operational forecasters at the SPC, and will have opportunities to interact with NOAA and academic scientists within the NWC, as well as scientists and forecasters in the severe storm and fire weather communities.

The principal duties of these positions are:

1. Provide scientific and technical support in the development, testing, evaluation, and transition to NWS operations of innovative tools and technologies designed to improve the prediction of severe weather and/or fire weather.

2. As appropriate, contribute to Hazardous Weather Testbed experiments to test and evaluate guidance and products central to SPC core mission requirements relating to severe weather and/or fire weather forecasting.

3. As needed, represent CIMMS/SPC by contributing to scientific publications and attending off-site conferences, workshops, symposia and hazardous-weather-related outreach events.

4. Perform related duties as assigned.

The minimum qualifications for the position are:

1. A Master’s Degree in Meteorology, Atmospheric Science or related area.

2. Emphasis will be placed on applicants with knowledge and experience in areas of severe and/or fire weather, numerical weather prediction models/ensemble systems including convection-allowing models, and application of statistical analysis and verification techniques.

Applicants should identify experience in software development including compiled and scripting programming languages, web page development, graphic design/visualization, and Linux (UNIX) environments including AWIPS2/N-AWIPS systems. Excellent oral and written communication skills are highly desired.

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 CIMMS staff with technical oversight provided by SPC management. The incumbent works under general supervision but is expected to work independently and determine action to be taken in handling all but unusual situations. This is a non-supervisory position, although the incumbent may serve as a leader of technical teams. The salary for this position will be based on education, experience, skills, and knowledge. Information on University benefits may be found at: http://www.hr.ou.edu/.

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

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


CIMMS Research Scientist – Hazardous Weather Prediction

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma (OU) is currently looking for multiple Research Scientists to work with the NOAA/Storm Prediction Center (SPC). Research Scientists in these positions will provide scientific and meteorological expertise, as well as technical support for the development of advanced mesoscale hazardous weather prediction techniques. The positions will be based at the Storm Prediction Center (SPC) 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 incumbent will work directly with development meteorologists and operational forecasters at the SPC, and will have opportunities to interact with NOAA and academic scientists within the NWC, as well as scientists and forecasters in the severe storm and fire weather communities.

The principal duties of these positions are:

1. Provide scientific and technical expertise in the development, testing, evaluation, and transition to NWS operations of innovative tools and technologies designed to improve the prediction of severe weather and/or fire weather.

2. As appropriate, lead and facilitate Hazardous Weather Testbed experiments to test and evaluate guidance and products central to SPC core mission requirements relating to severe weather and/or fire weather forecasting.

3. As needed, represent CIMMS/SPC by contributing to scientific publications and attending off-site conferences, workshops, symposia and hazardous-weather-related outreach events.

4. Perform related duties as assigned.

The minimum qualifications for the position are:

1. A Ph.D. Degree in Meteorology, Atmospheric Science or related area.

2. Emphasis will be placed on applicants with knowledge and experience in areas of severe and/or fire weather, numerical weather prediction models/ensemble systems including convection-allowing models, and application of statistical analysis and verification techniques.

Applicants should identify experience in software development including compiled and scripting programming languages, web page development, graphic design/visualization, and Linux (UNIX) environments including AWIPS2/N-AWIPS systems. Excellent oral and written communication skills are highly desired.

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 CIMMS staff with technical oversight provided by SPC management. The incumbent works under general supervision but is expected to work independently and determine action to be taken in handling all but unusual situations. This is a non-supervisory position, although the incumbent may serve as a leader of technical teams. The salary for this position will be based on education, experience, skills, and knowledge. Information on University benefits may be found at: http://www.hr.ou.edu.

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

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

 


Post-Doctoral Research Positions

CIMMS Peter Lamb Postdoctoral Fellowship

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at the University of Oklahoma is seeking excellent candidates for the prestigious Peter Lamb Postdoctoral Fellowship. CIMMS is a research organization that promotes collaborative research between National Oceanic and Atmospheric Administration (NOAA) and University of Oklahoma (OU) scientists on problems of mutual interest to improve basic understanding of mesoscale and storm-scale meteorological phenomena to help produce better forecasts and warnings that save lives and property and to understand the societal impacts of such phenomena. Research scientists within CIMMS use observations, analysis and models to improve the understanding and prediction of high-impact weather elements and systems and climate anomalies ranging in size from cloud nuclei to multi-state areas.

Although the position is not project-specific, proposals for the CIMMS Postdoctoral fellowship should address at least one of CIMMS’ research themes: 1) weather radar research and development; 2) storm-scale and mesoscale modeling research and development; 3) forecast improvements research and development; 4) impacts of climate change related to extreme weather events; and 5) societal and socioeconomic impacts of high-impact weather systems. The CIMMS website http://cimms.ou.edu/index.php/research has more information on projects underway within these research themes as well as contact information for CIMMS scientists working on these themes. It is suggested but not required that those applying contact a CIMMS scientist before writing their research proposal to receive guidance when drafting a proposal.

Terms of appointment are for one (1) year, renewable for a second year subject to satisfactory performance. An annual salary of $60,000 and a research budget of up to $5,000 per year is included in the award, along with a modest relocation stipend. Successful applicants must have obtained a Ph.D. within the last five years; proof of a Ph.D. is required before assuming the post-doctoral position, but those in the final stages of Ph.D. dissertation completion are encouraged to apply provided a finish date before July 31, 2019 is anticipated.

Applicants are asked to submit electronically: (1) a curriculum vitae; (2) a list of all products (e.g., papers, patents, technology transfers, licensed software, etc.) generated over the course of their career; (3) a cover letter which includes the expected start date and any non-standard resources that might be needed to complete the proposed work; (4) a brief proposal (no more than 4 pages, double-spaced, excluding the list of references and figures) describing the work to be pursued during a 2-year tenure at CIMMS; and (5) a list of three references. In addition, applicants should request that their referees directly send their reference letters to CIMMS at the email address listed below.

To receive full consideration, applications and supporting material should be received prior to January 30, 2019. All materials should be sent electronically to:

Tracy Reinke, Executive Director Finance and Operations
Cooperative Institute for Mesoscale Meteorological Studies (CIMMS)
120 David L. Boren Blvd, Norman, OK, 73072
treinke@ou.edu
ATTN: Peter Lamb Postdoctoral Fellowship


CIMMS Post-Doctoral Research Associate – FACETs

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at the University of Oklahoma is currently seeking a postdoctoral research associate to collaborate with scientists in the National Severe Storms Laboratory’s (NSSL) Warning Research & Development Division on the development of probabilistic severe convective weather guidance for the Forecasting A Continuum of Environmental Threats (FACETs) project. The goal of FACETs is that future warnings will be probabilistic, spatially coherent forecasts.

The duties of this position are:
1. Apply diverse data sets to produce storm-based probabilistic trends and historical distributions of convective storm features to produce probabilistic hazard information.
2. Develop and test new multi-sensor (e.g., satellite, lightning, numerical models, radar) algorithms and techniques (e.g, machine learning) for short-term probabilistic prediction and nowcasting;
3. Acquire and apply expertise in severe local storms and the warning-decision-making process;
4. Design and lead applied research and operational experiments with National Weather Service Forecasters and end-users in the Hazardous Weather Testbed’s Experimental Warning Program.
5. Attend meetings and professional conferences to present research results and interact with collaborators and users; formally publish results when appropriate;
6. Review technical and professional publications and attend seminars to stay abreast of current developments in meteorological and remote sensing science.

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

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

Normal working hours will be observed except for occasional irregular hours during data collection, warning/forecast experiments or workshops conducted at remote sites. Incumbents will receive training and gain expertise in the latest radar and other remote sensing technology and warning decision-making.

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

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

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

Tracy Reinke
Executive Director, Finance and Operations
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
treinke@ou.edu
ATTN: Post-Doc FACETs


CIMMS Post-Doctoral Research Associate – Decision Support for the Alaska Marine Community

The Cooperative Institute for Mesoscale Meteorological Studies at The University of Oklahoma seeks a highly qualified postdoctoral research associate to perform research with the Arctic Test Bed and Proving Ground (ATPG) in Anchorage, Alaska. This one year position is funded by a grant from the National Oceanic and Atmospheric Agency (NOAA) National Weather Service Alaska Region.
Marine transportation and fisheries are critical to the support of almost all facets of life and the economy of Alaska. Weather conditions have a significant impact on the marine community in Alaska. With such a broad community, from large container ships transiting between North America and Asia, to small recreational vessels, and subsistence activities, the impacts of weather and risk thresholds vary considerably. Poor communications infrastructure can complicate messaging of significant events, especially to the recreational and hunter communities.
The NWS Alaska, has been providing marine forecast services for over half a century in support of the marine community. To enhance and improve the decision support services, this position will evaluate the value of NWS marine forecasts utilized by core marine stakeholders to make critical decisions. This position will investigate the current use of services in specific sectors of the marine community and their risk thresholds; and help NWS Alaska enhance marine products and services in a way that is meaningful and adds value for key marine stakeholders.
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 qualitative and experimental research in topics relating to decision making process. Experience working in remote areas or with tribal communities 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. The start date for the position is negotiable. The position is located in Anchorage, Alaska.
Appointment to this position is contingent on passing a Department of Commerce/NOAA background check.
To apply, please forward a CV, cover letter and list of three references to:
Tracy Reinke
Executive Director, Finance and Operations
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
treinke@ou.edu
ATTN: Alaska Marine Community


CIMMS Post-Doctoral Research Associate – Warn-on-Forecast Landfalling Tropical Cyclones

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma (OU) seeks to fill a Post-Doctoral Research Associate position for its collaborative research with the National Oceanic and Atmospheric Administration (NOAA) National Severe Storms Laboratory (NSSL) at the National Weather Center (NWC) in Norman, Oklahoma. The Post-Doc will contribute to applications of NSSL’s Warn-on-Forecast (WoF) research and development program in predicting tornadoes and other hazardous weather associated with landfalling hurricanes. The incumbent will work in close collaboration with the researchers at NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) Hurricane Research Division (HRD) in Miami, Florida. The dynamic research and operational working environment at the NWC and HRD will provide the candidate with ample opportunities for career advancement.

Background:
The National Weather Service issues outlooks for landfalling hurricane hazards, followed by mesoscale discussions and watches 1–12 h in advance of landfall. The National Hurricane Center, Storm Prediction Center, Weather Prediction Center, local Weather Forecast Offices and River Forecast Centers issue outlooks, watches, and warnings for tornadoes, high winds, extreme rainfall and flash floods. However, forecasting these hazards associated with landfalling hurricanes are very challenging. Forecasts for these hazards can be advanced through the creation of and improvements to probabilistic guidance from convection-resolving numerical weather prediction ensemble output.

Essential job functions include:
● Advance ensemble forecasts for hazards associated with landfalling tropical cyclones, including tornadoes, wind gusts, and extreme rainfall.
● Investigate the impact of different observations on these forecasts.
● Create probabilistic guidance from ensemble output to efficiently communicate hazards.
● Interpret and publish results in progress reports and peer reviewed literature.
● Present research results at meetings and conferences.
● Contribute towards proposals written to maintain and expand this research effort.

Desired Qualifications:
The incumbent must have a Ph.D. Degree in Atmospheric Science or an equivalent subject having performed research in the area of tropical cyclones. The incumbent must demonstrate skill in data analysis and must have previous experience with numerical weather prediction models and tropical cyclone data. Experience working with large datasets and strong programming (e.g., Fortran, C, C++), and scripting (e.g. Python, NCL) skills are desirable. We encourage motivated individuals with excellent written and verbal communication skills. The incumbent must be an easy relationship builder, creative, intelligent, and a flexible, supportive team member. The appointment is for 2 years with annual renewal based upon performance.

Start date for the position will be as soon as the candidate can begin work. The position will remain open until filled. Salary will be competitive depending on experience and qualification with University of Oklahoma benefits. Information on benefits may be found at http://hr.ou.edu/.

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

Tracy Reinke
Executive Director, Finance and Operations
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
treinke@ou.edu
REFERENCE: Landfalling Tropical Cyclones


CIMMS Post-Doctoral Research Associate – Social Scientist Tornado Warning Improvement

The Cooperative Institute for Mesoscale Meteorological Studies at The University of Oklahoma seeks a highly qualified postdoctoral research associate to serve as a postdoctoral research scientist for the Tornado Warning Improvement and Extension Program (TWIEP). This position will be funded by a project from the National Oceanic and Atmospheric Administration (NOAA) Office of Oceanic and Atmospheric Research (OAR). PIs for the project will come from the University of Oklahoma and Austin College in Sherman, TX.
The TWIEP was created by congressional mandate in the Weather Act of 2017, and the purpose of this research is to quantify the economic benefits of futuristic tornado warnings. The identification and analysis of vulnerabilities leading to higher casualties from tornadoes are the central focus with strategies that reduce casualties as the primary deliverable.
As part of this opportunity, the postdoc would be invited to: (a) engage with TWIEP PIs and track their research findings and progress in identifying vulnerabilities using econometric casualty models, (b) design and conduct mixed-methods research, survey based and experimental, to further investigate identified vulnerabilities, (c) propose mitigation strategies which lower casualties for persons in the identified vulnerable populations, (d) assist in estimating the economic value of the reduced casualties and (e) 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 qualitative and experimental research 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. The start date for the position is negotiable but prior to July 1, 2019.
Appointment to this position is contingent on passing a Department of Commerce/NOAA background check.
To apply, please forward a CV, cover letter and list of three references to:
Tracy Reinke
Executive Director, Finance and Operations
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
treinke@ou.edu
ATTN: TWIEP Social Science PostDoc

 


Software Developer Positions

CIMMS Research Associate – Scientific Programmer for Developing & Integrating Warn-on-Forecast Guidance into AWIPS 2

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at the University of Oklahoma (OU) seeks to fill a Research Associate position to support the National Oceanic and Atmospheric Administration (NOAA) National Severe Storms Laboratory’s (NSSL) Warn-on-Forecast (WoF) research and development effort. NOAA’s WoF program seeks to develop a storm-scale ensemble prediction system to provide short-term, probabilistic guidance of high-impact weather.

The incumbent will work within the NOAA Earth System Research Laboratory (ESRL) Global Systems Division (GSD) in Boulder, CO as part of the Hazard Information Services project within the Weather Information Systems Evolution group. Hazard Services is a multi-year effort, and one foundational aspect of the project is to combine the existing capabilities of AWIPS WarnGen, Graphical Hazard Generator, and RiverPro into a single application. Currently, these critical applications allow National Weather Service (NWS) forecasters to produce hazard watch, warning, and advisory products and deliver various hazard-related services. Other development areas for Hazard Services include probabilistic hazard information, NWS National Center applications, and potential applications for international agencies. Hazard Services will be the primary software for operationalizing many concepts related to FACETs (Forecasting a Continuum of Environmental Threats) in the NWS.

The primary job responsibility of this position will be integrating WoF guidance into the Advanced Weather Interactive Processing System (AWIPS 2) for use in the Hazard Services program. Additional responsibilities include close collaboration with CIMMS and NSSL researchers in Norman, Oklahoma on the development, visualization, and implementation of novel probabilistic guidance products for WoF, which will require coordination calls and travel to Norman on approximately a quarterly basis.

The principal duties of this position are:
• Develop software for visualizing WoF guidance products in the Advanced Weather Interactive Processing System (AWIPS2).
• Closely collaborate with CIMMS, ESRL, and NSSL scientists working on WoF and Hazard Services to develop advanced capabilities of the Hazard Services program using WoF guidance.
• Design and implement novel post-processing and visualization techniques for ensemble numerical weather prediction.
• Assist in assessing the usability, strengths, and limitations of WoF within NWS operations and during Hazardous Weather Testbed experiments.
• Attend meetings, workshops, and professional conferences to present research results and interact with operational forecasters, collaborators, and users.

Required Qualifications:
• A Master’s degree or higher in Meteorology, Atmospheric Science, Computer Science, or related area.
• Strong programming (e.g., Java, C, C++) and scripting (e.g. Python, NCL) skills, and experience with Linux (or Unix) operating systems.
• Excellent oral and written communication skills.
• Ability to work and communicate effectively in diverse team environments.
• Ability to pass a National Agency Check with Inquiries (NACI, federal background check). U.S. Citizenship or Permanent Residency is required.

Desired Qualifications:
• Experience in designing and developing interactive software applications
• Experience with ensemble-based data assimilation and numerical weather prediction, probabilistic weather forecasting, and transition of research to operations (R2O).

Normal working hours will be observed except for occasional irregular hours during Hazardous Weather Testbed Experiments or for workshops conducted at remote sites. This position will primarily be located in Boulder, Colorado with quarterly trips to Norman, Oklahoma.

Supervision will be provided by CIMMS staff. Technical oversight will be provided jointly by CIMMS Research Scientists, GSD collaborators, and NSSL management. Works under general supervision but is expected to work in a team environment and determine action to be taken in handling all but unusual situations. Incumbent is not expected to supervise other employees.

The salary for this position is very competitive and will be based on experience, skills, and knowledge. Information on University benefits may be found at https://hr.ou.edu/. The position is expected to begin January-February 2019.

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

Tracy Reinke, Executive Director, Finance and Operations
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100
Norman, OK 73072-7304
treinke@ou.edu
ATTN: Scientific Programmer WoF AWIPS2


CIMMS Research Associate – ARM Data Quality Office

The Cooperative Institute for Mesoscale Meteorological Studies at the University of Oklahoma is seeking a Research Associate with excellent attention to detail and strong programming skills to join the U.S. Department of Energy’s (DOE) Atmospheric Radiation Measurement (ARM) Program Data Quality (DQ) Office located in the National Weather Center at the University of Oklahoma in Norman, Oklahoma. The DQ Office Supports the ARM Program by serving as the first line of defense in discovering data quality issues with the final goal of providing the science community with the highest quality data possible. The primary responsibilities of the DQ Office are, in close cooperation with ARM instrument mentors, site operators, and other members of the ARM infrastructure, to create automated processes for inspection and assessment of data quality, inspect and assess the data, report detected problems and participate in their resolution, and communicate data quality findings to end-users of ARM data.

The duties of this position are:
● Develop software for displaying, inspecting, and assessing ARM data
● Help maintain and improve our web-based tools https://dq.arm.gov
● Work with ARM personnel to improve and develop new data quality analysis techniques and visualizations
● Facilitate problem resolution and communication of data quality problems with ARM infrastructure
● Mentor undergraduate student analysts who assist in the analysis of ARM data
● Participate in relevant data quality research projects as opportunities arise
● Represent the DQ Office at meetings and conferences
● Perform related duties as assigned

The minimum qualifications for this position are:
● M.S. in atmospheric science, earth system science, meteorology, computer science or related field Or B.S. in atmospheric science or computer science plus three years full-time experience
● Strong computer programming skills, particularly in command-line Linux environments
● Experience with meteorological data analysis, including scientific data formats such as netCDF

Preference will be given to applicants with:
● Knowledge, experience, or previous education focusing on meteorological instrumentation, atmospheric chemistry and/or aerosols, radar, lidar, or atmospheric fluxes
● Experience performing data analysis and visualization with Python; consideration will also be given for work done with other languages such as IDL, Matlab, Perl, or R
● Knowledgeable in new and emerging programming techniques, such as machine learning, big data analysis, or software automation
● Experience with revision control systems such as Git or SVN
● Experience with web programming (Javascript, PHP, HTML, CGI, etc.)

The beginning salary will be competitive for this position, and will be dependent on experience. The University of Oklahoma provides a generous benefits package. Information on benefits may be found at https://hr.ou.edu/Employees. The position will remain open until a suitable candidate is identified.

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 – ARM Data Quality


CIMMS Research Associate – Meteorological Software Developer

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at The University of Oklahoma is currently seeking a Research Associate to collaborate with scientists, instructors and developers at the National Weather Service (NWS) Warning Decision Training Division (WDTD) in Norman, OK, in enhancing the Weather Event Simulator for AWIPS-2 and transitioning the software into AWIPS-2 baseline code.

The duties of this position are:

1) Develop technical expertise with the AWIPS-2 (Advanced Weather Interactive Processing System) software.
2) Develop and add functionality to the Weather Event Simulator software for AWIPS-2 compatibility.
3) Develop the Weather Event Simulator software to enhance utility by NWS field office staff including forecasters, science officers and focal points.
4) Adapt the Weather Event Simulator software for potential use on the NWS operational hardware and software platforms.
5) Acquire skills in operation of Linux and Windows workstations and virtual machines.
6) Participate in experimental warning/forecast exercises and WDTD training workshops.
7) Review technical/professional publications and attend seminars to stay abreast of current developments in meteorological software applications.
8) Perform related duties as assigned.

The minimum qualifications for the position are:

1) A Master’s Degree in Computer Science, Computer Engineering, Meteorology, Atmospheric Science, or related area; or
2) A Bachelor’s Degree in Computer Science, Computer Engineering, Meteorology, Atmospheric Science, or related area and at least three years fulltime related experience.

Emphasis will be placed on applicants with software support and development experience including:
• Strong knowledge of Java, Eclipse, and/or Python
• Basic understanding of relational database design
• Intermediate knowledge of standard query language (SQL) for simple to complex queries
• Strong understanding of Object Oriented Programming
• User Interface Design using tools like SWT

Applicants should identify expertise within any of the following areas: Linux shell scripting or software/hardware support; Service Oriented Architectures or the Spring framework; Hibernate; SWT or Eclipse RCP; PostgreSQL database; Experience with basic computer networking; XML; Eclipse Integrated Development Environment; Project management, teamwork; Oral and written communications.

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.

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 full benefits (insurance and retirement) and a generous leave policy provided through The University of Oklahoma (https://hr.ou.edu/). 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
JOB REFERENCE: Meteorological Software Development


CIMMS Research Associate – MRMS Software Developer

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) seeks to fill a Research Associate position for its collaborative research with scientists in the National Severe Storms Laboratory (NSSL) in Norman, Oklahoma. The incumbent will contribute to NSSL’s Multi-Radar Multi-Sensor (MRMS) project (http://www.nssl.noaa.gov/projects/mrms/).

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

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

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

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

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

Supervision will be provided by CIMMS staff. Technical oversight will be provided by CIMMS staff and NSSL Federal staff and management. This is a non-supervisory position, although the incumbent may serve as a leader of technical teams.

The beginning salary will be commensurate with experience and qualifications with University of Oklahoma benefits. Information on benefits may be found at http://hr.ou.edu/Employees.
To apply for the position, please forward your resume, cover letter and list of three references to:
Tracy Reinke
Executive Director, Finance and Operations
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100 Norman, OK 73072-7304
treinke@ou.edu
ATTN: MRMS Software Developer


CIMMS Research Associate – MRMS Dataflow Software Developer

The Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) seeks to fill a Research Associate position for its collaborative research with scientists in the National Severe Storms Laboratory (NSSL) in Norman, Oklahoma. The incumbent will contribute to NSSL’s Multi-Radar Multi-Sensor (MRMS) project (http://www.nssl.noaa.gov/projects/mrms/).

Background
NSSL in collaboration with CIMMS has developed a cutting-edge system to assimilate radar, rain gauge, lightning, satellite and atmospheric environmental data into a single system to aid in warning-decision making within the National Weather Service. This system, Multi-Radar Multi-Sensor (MRMS), includes several tools for data analytics and workflow. The incumbent for this position will assist with the back-end research to develop new methods for data ingest, monitoring, processing, and display.

The principal duties of this position are:

1) Develop technical expertise with the various forms of data ingested into the MRMS system
2) Develop software for the real-time monitoring of all data ingested into the MRMS system
3) Develop software for the receiving, ingesting, processing, transmitting and storage of all data flowing through the MRMS system
4) Maintain an on-site archive of data ingest and produced by the MRMS system for future research needs
5) Acquire and/or apply skills in the operation of Linux workstations, and virtual machines as well as various forms of network communications, in support of these principal MRMS duties
6) Work closely with other groups and organizations to understand current and future data needs and requirements
7) Perform related duties as assigned

The minimum qualifications for the position are:

● A Master’s Degree in Computer Science, Software Engineering, or related area; or
● A Bachelor’s Degree in Computer Science, Software Engineering, or related area and at least three (3) years of full time related experience
● Strong computer programming skills with particular emphasis on C++, Object Oriented Programming, scripting, and software support
● Ability to decode binary formats
● Strong familiarity with the UNIX/Linux operating environment and system administration skills
● Ability to obtain all necessary security clearances for access to NCEP operational computer systems (Permanent Resident status or US citizen is required).

Applicants should identify experience with the above qualifications in their written statements. Other preferences include; 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 other.

Supervision will be provided by CIMMS staff. Technical oversight will be provided by CIMMS staff and NSSL Federal staff and management. This is a non-supervisory position, although the incumbent may serve as a leader of technical teams.

The beginning salary will be commensurate with experience and qualifications with University of Oklahoma benefits. Information on benefits may be found at http://hr.ou.edu/Employees.

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

Tracy Reinke
Executive Director, Finance and Operations
University of Oklahoma CIMMS
120 David L. Boren Blvd., Suite 2100 Norman, OK 73072-7304
treinke@ou.edu
ATTN: MRMS Dataflow Software Developer

 


Radar Engineer Positions

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
● Ability to obtain all necessary security clearances for access to radar systems (Permanent Resident status or US citizenship is required)

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
● Ability to obtain all necessary security clearances for access to radar systems (Permanent Resident status or US citizenship is required)

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


 

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