Trusted Knowledge Options Inc.

Primary task will be to work side-by-side with a key client to investigate computational electromagnetic (CEM) methods and techniques for accurately predicting key
performance parameters for RF systems in complex environments. Conduct literature reviews, analysis studies, validation studies, and product comparisons. Help define the
technical path forward for the near- and long-term implementation of our client's CEM capability.

Desired experience:
Experience with several of the following algorithms and methods:  GTD/UTD, shooting and bouncing ray, FDTD, PO, MoM, GO, FEM, PWE, XFdtd, Wireless Insite, Stingray, and SolidWorks and empirical propagation models.
Knowledge of the state of the art in computational electromagnetic modeling.
Experience with importing and refining geometry, including terrain and buildings, for CEM applications
Ability accurately simulate RF performance in complex scenarios and quantify the error
Understanding of input and output formats and transformation thereof
Nine years of experience

Current TS/SCI, CI Poly Required


Trusted Knowledge Options Inc.
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