Signal Processing Research Scientist - Senior
About The Position
RTX, the world's largest aerospace and defense company with 185,000 employees, is seeking a highly qualified RF Signal Processing Research Scientist to join the BBN Technologies team in Arlington, VA. BBN Technologies focuses on solving challenging problems for customers in the Department of Defense, Intelligence Community, and Industry by rapidly prototyping systems for sensing complex physical phenomena, correlating them to events of interest, and producing high-value, actionable information. The team specializes in developing next-generation sensor system technologies by combining a fundamental understanding of EM physics, electromagnetic interactions, signatures, and propagation phenomenology with deep expertise in analysis, statistical signal processing, optimization, and machine learning. Desirable candidates will have experience deriving and implementing research-grade algorithms and applying them to data collected from real sensors, with academic or professional experience in several listed areas.
Requirements
- B.S. in Electrical Engineering, Mathematics, or Physics plus 10 years of relevant experience, or an M.S. degree with 8 plus years of experience or a Ph.D. plus 5 years experience.
- Experience with signal processing, including estimation, detection, etc.
- Experience with RF modeling and sensing.
- 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 and experience leading small teams of technical contributors.
- Experience documenting plans and scientific findings with opportunities to present to government customers.
- An active government Top Secret security clearance on day 1.
Nice To Haves
- Ph.D. in Electrical Engineering, Mathematics, or Physics
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.
- Travel - Position will require some overnight travel.
Benefits
- robust total rewards package with compensation; healthcare, wellness, retirement, and work/life benefits; career development and recognition programs
- parental (including paternal) leave
- flexible work schedules
- achievement awards
- educational assistance
- child/adult backup care
- Relocation Assistance available
- medical
- dental
- vision
- life insurance
- short-term disability
- long-term disability
- 401(k) match
- flexible spending accounts
- employee assistance program
- Employee Scholar Program
- paid time off
- holidays
- annual short-term and/or long-term incentive compensation programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
