[Hiring] Senior Principal, Signal Processing Research Scientist @RTX

Role Description

BBN Technologies solves challenging problems of high importance to our customers in the Department of Defense, the 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 from the sensed data. Our team specializes in developing next-generation sensor system technologies by combining a fundamental understanding of the underlying EM physics including complex electromagnetic interactions and signatures, and propagation phenomenology, with a deep expertise in analysis, statistical signal processing, optimization, and machine learning.

We are currently searching for a highly qualified RF Signal Processing Research Scientist to join our team. Desirable candidates will have experience deriving and implementing research-grade algorithms and applying these to data collected from real sensors. Qualified candidates will have academic or professional experience in several of the areas listed below.

What You Will Do:

• 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.

Qualifications

• M.S. in Electrical Engineering, Mathematics, or Physics plus 10 years of relevant experience, or Ph.D. plus 8 years experience.
• Experience with signal processing, including estimation, detection, etc.
• Experience with RF modeling and sensing.
• An active government Top Secret security clearance.
• Position will 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.

Benefits

• Parental (including paternal) leave.
• Flexible work schedules.
• Achievement awards.
• Educational assistance.
• Child/adult backup care.
• Relocation Assistance available.
• A strong leadership team well-versed in government R&D.
• A collaborative and collegial environment to push state-of-the-art research.
• A diverse and technically competent pool of research scientists who are willing to mentor, listen, and help you refine your research vision and goals.
• Business development, programmatic, contracting, finance, and HR support.
• Access, through RTX, to opportunities that help transition your research and ultimately see it fielded.