December 2018
Message 25

[Periods|Index by:DateThreadSubjectAuthor|Date:PreviousNext|Thread:(Previous)(Next)|List Information]

[Met-jobs] CIMMS Post-Doctoral Research Associate

From "Reinke, Tracy L." <>
To "" <>
Date Fri, 7 Dec 2018 15:22:06 +0000

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  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


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



Tracy Reinke, CRA

Executive Director, Finance and Operations

Cooperative Institute for Mesoscale Meteorological Studies

The University of Oklahoma

120 David L. Boren Blvd., Suite 2100

Norman, OK 73072-7304

(405) 325-3043

(405) 325-3098 (FAX)



Go to: Periods · List Information · Index by: Date (or Reverse Date), Thread, Subject or Author.