The Atmospheric Science Group in the Department of Geosciences at Texas Tech University seeks applications for a full time, non-tenure-track Research Assistant Professor within the Mesoscale Modeling research group. The successful applicant will broadly work in the areas of probabilistic numerical weather prediction and ensemble data assimilation, with a focus on transitioning state-of-the-art forecasting products into the operational Texas Tech Ensemble Prediction System (TTEPS). Evaluation of candidates will begin February 1, 2016 and will continue until the position is filled. A start date as soon as February 2016 is possible. A Ph.D. is required at the time of appointment.
We seek motivated individuals to support the development and maintenance of the TTEPS system, and to contribute to the development of novel probabilistic forecasting techniques that can be implemented to improve forecasting guidance. Specific responsibilities will include:
- developing cutting-edge techniques (e.g. sensitivity-based products) to improve probabilistic forecasts of high-impact weather events,
- conducting verification studies to document the skill of the TTEPS system,
- writing proposals to acquire federal funding to support research, and
- promoting the use of the TTEPS system through direct communication with current and potential future users.
Currently, the National Oceanic and Atmospheric Administration (NOAA) and entities within the wind power sector are the primary users of TTEPS probabilistic forecasts, and collaboration with these organizations is expected.
For details, including instructions on how to appy:
- Browse to the TTU employment website at http://www.texastech.edu/careers
- Click Faculty
- Click Search Openings
- Enter 5887BR in the Requisition ID field
- Click Search
Applicants must provide the required information, submit a letter of application, curriculum vitae, a statement of research interests, and names e-mail addresses of three professional references. Questions regarding the position should be e-mailed to Dr. Brian Ancell at brian.ancell@ttu.edu.
