Signal Processing Research Scientist
| Company | RTX |
|---|---|
| Location | Arlington, VA, USA, Columbia, MD, USA |
| Salary | $112000 – $224000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Mid Level, Senior |
Requirements
- BS Electrical Engineering, Mathematics, or Physics plus 8+ years of relevant experience, or MS with 5+ years experience or Ph.D. plus 3+ years experience.
- Experience with signal processing, including estimation, detection, etc.
- Experience with RF modeling and sensing.
- Ability to obtain a government security clearance.
Responsibilities
- Statistical signal processing: Estimation techniques including Bayesian and non-Bayesian estimators, performance measures such as bias and mean-square error and bounds on estimator performance such as the Cramer-Rao lower bound.
- Detection techniques including the Neyman-Pearson detection, probabilities of detection and false alarm, receiver operating curves, etc.
- Cyclostationary signal processing: CAF, SCF, SOF estimation, Computation of Cyclic Cumulants, Cyclic Feature Detection.
- Adaptive signal processing: Temporal and space-time adaptive processing, Interference covariance estimation techniques including both structured and reduced-rank techniques, Wiener filtering and on-line adaptive techniques such as LMS and RLS, Kalman filtering, particle filtering, and multi-hypothesis tracking.
- Machine learning and optimization for optimal control.
- RF propagation and signature modeling: Link budgets, terrestrial and free-space propagation models, multipath, non-stationary propagation environments (Doppler spread), clock stability and phase noise, and target kinematics, Antenna pattern estimation, Estimation of bistatic RCS.
- Sensing: Sparse array processing, beamforming, direction finding, filtering and tracking, Range-Doppler radar and synthetic aperture radar (SAR), Signal classification and recognition.
- Physical-layer communications: Modulation techniques and tradeoffs, channel estimation and tracking, MIMO communications, equalization, forward error correction and decoding, LPX waveform design, Multi-user detection.
Preferred Qualifications
- Position may require some overnight travel.
- Experience applying advanced methods, theories, and R&D techniques to solve difficult problems.
- Skillset to tackle research challenges proactively with minimal supervision and periodic check-ins with team leads.
- Experience leading small teams of technical contributors.
- Experience documenting plans and scientific findings with opportunities to present to government customers.
- An active government security clearance.