Bayesian Trained Mathematician and Modeler
NORTHROP GRUMMAN, Monterey, CA
Northrop Grumman seeks an applied mathematician/physicist/statistician with reasonable SW development skills in modern languages. Would expect fluency in two of the three languages(C/C++/Java) and 1 or more of the following (Lisp/Scheme, Python, Pearl). Must have demonstr able knowledge of vectorised programming skills in Matlab for rapid prototyping with additional toolboxes such as signal and image processing, machine learning, statistics, and wavelets. Experience with Simulink a plus but not required. Candidate must demonstrate a clear understanding of probability theory. Exposure to Bayesian Statistics and associated applications should have been acquired through classroom work, undergraduate and/or graduate work in machine learning and information theory applications. Candidate should have exposure to a variety of optimization and algorithms aimed at state estimation through various methods including analytic and numerical approaches such as particle filtering and importance sampling exposure, classification algorithms through schemes derived from Posterior probability computations directly, decision trees, graphical modeling methods including DAGs and cycles, various kernel machine and neural network methods with understanding of regularization methods and methods working in both L1 and L2 norms. Exposure to the R programming language is expected but expert level familiarity not required. Candidate would benefit from exposure to numerical packages for inference such as BUGS and Stan and ultimately understand the value of MCMC methods and Gibbs Sampling. Successful candidates will be supporting a Department of Defense laboratory in a cross-disciplinary effort to use behavioral and predictive analytics to create innovative ways with which to detect insider threats and other anomalous behaviors, e.g. active shooters, and espionage.
Qualifications
Basic Qualifications:
Required: PhD with 4+ years' experience or B.S. with 15 years and M.S. within any combination of above plus 8 years' experience required. Resume should include all collegiate and professional education completed, former employment, recognition, awards, and/or patents along with conference and journal publications. Eligibility to obtain and maintain a DoD security clearance is required. US citizens only.
Preferred Qualifications:
Current DoD security clearance. Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO/AA and Pay Transparency statement, please visit www.northropgrumman.com/EEO. U.S. Citizenship is required for most positions.
NORTHROP GRUMMAN, Monterey, CA
Northrop Grumman seeks an applied mathematician/physicist/statistician with reasonable SW development skills in modern languages. Would expect fluency in two of the three languages(C/C++/Java) and 1 or more of the following (Lisp/Scheme, Python, Pearl). Must have demonstr able knowledge of vectorised programming skills in Matlab for rapid prototyping with additional toolboxes such as signal and image processing, machine learning, statistics, and wavelets. Experience with Simulink a plus but not required. Candidate must demonstrate a clear understanding of probability theory. Exposure to Bayesian Statistics and associated applications should have been acquired through classroom work, undergraduate and/or graduate work in machine learning and information theory applications. Candidate should have exposure to a variety of optimization and algorithms aimed at state estimation through various methods including analytic and numerical approaches such as particle filtering and importance sampling exposure, classification algorithms through schemes derived from Posterior probability computations directly, decision trees, graphical modeling methods including DAGs and cycles, various kernel machine and neural network methods with understanding of regularization methods and methods working in both L1 and L2 norms. Exposure to the R programming language is expected but expert level familiarity not required. Candidate would benefit from exposure to numerical packages for inference such as BUGS and Stan and ultimately understand the value of MCMC methods and Gibbs Sampling. Successful candidates will be supporting a Department of Defense laboratory in a cross-disciplinary effort to use behavioral and predictive analytics to create innovative ways with which to detect insider threats and other anomalous behaviors, e.g. active shooters, and espionage.
Qualifications
Basic Qualifications:
Required: PhD with 4+ years' experience or B.S. with 15 years and M.S. within any combination of above plus 8 years' experience required. Resume should include all collegiate and professional education completed, former employment, recognition, awards, and/or patents along with conference and journal publications. Eligibility to obtain and maintain a DoD security clearance is required. US citizens only.
Preferred Qualifications:
Current DoD security clearance. Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO/AA and Pay Transparency statement, please visit www.northropgrumman.com/EEO. U.S. Citizenship is required for most positions.
