The Knowledge Engineering Laboratory (KEL), Department of Entomology, Texas A&M University, is currently hiring a summer Research/Programming assistant position. Please see the position descriptions below.

Requirements: The research assistant will use C++ and C# working on developing forest simulation model, developing related analysis tools, and preparing input data. Applicant should have experience in C, C++ or C# programming. Strong ability to understand C# code, and in implementing design, write, debug C# .NET applications, Experience in using Visual Studio 2005, Visual C# 2005 Express Edition, ASP.NET, and the .NET Framework Software Development Kit (NET SDK).

Preferences: Preference will be given to an individual interested in developing a skill set that includes individual based population modelling and landscape modeling, GIS and Remote sensing techniques, and spatial statistics, scientific visualization. Excellent quantitative, statistical, and spatial simulation modeling skills are essential. Experience with data analysis and other computer programming such as FORTRAN is highly desirable. Good written and verbal skills are desired. A working knowledge of ArcGIS and ArcInfo, and LANDIS is preferred.

The Project: Please note this position is part of a multi-disciplinary research project by Texas A&M University (PI: Dr. Robert N. Coulson) and the USDA Forest Service that includes landscape ecologists, modelers, biogeographers, and entomologists. The existing team has considerable expertise in modeling, GIS, and spatial statistics. For more information regarding this project, please visit our web site at

http://landscape-restoration.tamu.edu/

The position is available now. Review of applications is ongoing. Anyone interested in the position can contact Dr. Weimin Xi via email ([EMAIL PROTECTED]) with a resume and statement of interest or questions.

Thanks,
Weimin


Weimin Xi
Knowledge Engineering Laboratory
Department of Entomology
Texas A&M University
Lab: (979) 845-9736
Email: [EMAIL PROTECTED]
Lab website: http://kelab.tamu.edu/

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