Experience with signal processing, sensor fusion, or navigation
Experience with Kalman filtering, error-state estimation, Bayesian estimation, adaptive filtering, deep learning and reinforcement learning, or machine learning algorithms
Experience with programming languages such as Python, MATLAB, C++, or scientific computing environments
Knowledge of time-series signal processing, including filtering, spectral analysis, noise characterization, correlation analysis, detection, and estimation
Knowledge of geomagnetism, c rus tal anomalies, Earth-field models, and geomagnetic disturbances
Secret clearance
Master's degree in Electrical Engineering, Applied Physics, Applied Mathematics, CS, or Systems Engineering
Secret clearance is required.
