Non-Tenure Track Research Assistant Professor

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.

 

Date posted

Nov. 10, 2017 12:00 am

Application deadline

Dec. 10, 2017 12:00 am

Organization

Texas Tech University

Location

  • United States

Job description

Non-Tenure Track Research Assistant Professor
Texas Tech University
Department of Geosciences

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 and Predictability research group. The successful applicant will work in the areas of probabilistic numerical weather prediction, ensemble data assimilation, and the coupling of other systems with a mesoscale model (e.g. hydrologic prediction systems, or climate models). The position will be funded for two years with the possibility of continuation based upon the level of funding secured by the candidate. Applications will be reviewed in the order they are received, with a start date as soon as January 2018. No new applications will be reviewed after December 15, 2017.

The Mesoscale Modeling and Predictability research group is actively engaged in a number of research projects involving high-resolution ensemble prediction of severe convection, ensemble sensitivity and observation targeting analysis, uncertainty quantification toward improving model physics parameterizations, statistical post-processing, and inadvertent weather modification. The group also runs a real-time, convection-permitting deterministic and ensemble data assimilation/forecasting system that serves as the basis for substantial collaboration with the National Oceanic and Atmospheric Administration. Improving big data applications within the framework of high-resolution probabilistic prediction is another research goal. Service duties include program-building, as well as commitment to extra- curricular activities. Service to the department, college, and university is expected. We seek motivated individuals to both support this existing research program and create new research directions through externally funded projects.

Applicants should demonstrate a track record of external funding and/or show promise for future funding. Additionally, applicants should have substantial experience with mesoscale modeling, atmospheric data assimilation, and programming within the framework of high performance computing.  A Ph.D. is required by the start date of the successful applicant.

As an Equal Employment Opportunity/Affirmative Action employer, Texas Tech University is dedicated to the goal of building a culturally diverse faculty committed to teaching and working in a multicultural environment. We actively encourage applications from all those who can contribute, through their research, teaching, and/or service, to the diversity and excellence of the academic community at Texas Tech University. The university welcomes applications from minorities, women, veterans, persons with disabilities, and dual-career couples.

Applicants must first visit the TTU employment website at http://jobs.texastech.edu. Once there, go to “Search Postings”, search for requisition number 11885BR, and provide the required information. Afterwards, applicants must submit a letter of application, curriculum vitae, a statement of research interests, names and contact information (including e-mail address) of at least three professional references. These documents should be uploaded to the employment website. Questions regarding this position can be e-mailed to Dr. Brian Ancell at brian.ancell@ttu.edu.

 

Document Actions