KBR is seeking a self-motivated RF MASINTEngineeringSME with an active TS/SCI clearance to develop MASINTalgorithms and employ probability theories and computational methods to large datasets. These algorithms will be used to analyze and better understand threats to DoD interests. Candidate should have expert-level proficiency in MATLAB and require minimal oversight.

Required:

-Strong proficiency in probability theory and statistics

-Experience in the application of computational Bayesian methods, such as Markov-Chain Monte Carlo analyses (e.g., Metropolis-Hastings or Gibbs Sampling) and Variational Inference

-Understanding of numerical optimization techniques

-Graduate degree in Engineering, Applied Physics, Applied Mathematics, or extensive relevant experience in a related technical field

-Proficiency in MATLAB programming language

-Ability to work independently and with teams

-Must have an Active TS Clearance

Desired:

-Experience in applied stochastic estimation (e.g., Kalman and nonlinear filtering)

-Basic understanding of classical mechanics and applications

-Proficiency in C/C++ and Python programming languages

-Proficiency in numerical mathematics techniques

-Understanding of high-performance computing and parallel algorithm design

-Experience with scientific data processing (including signal processing), modeling and simulation, and R&D algorithm development