Associate Director, Electronic Warfare Research Scientist

RTX•Arlington, MA

29d•Onsite

About The Position

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense. Role Overview: RTX BBN Technologies (BBN) has solved challenging problems through research, exploration, development, and prototyping. BBN’s Non-Kinetic Capabilities and Technologies (NCT) team leverages computer science, computer engineering, electrical engineering, math, and physics to tackle customer challenges in electromagnetic warfare (EW), communications, cybersecurity, cyberspace operations, and networking for the U.S. Department of War (DoW) and Intelligence Community (IC) customers. BBN is looking for an excellent forward-thinking candidate to drive our next technology breakthroughs and to integrate these technologies into RTX Programs of Record. You are the ideal candidate if you are a recognized high performer and leader for developing and demonstrating advanced capabilities for the DoW; you are a strong writer and communicator; you can identify and forge connections between stakeholder opportunities and our technical teams’ capabilities; you have a strong technical background in these areas with demonstrated leadership managing and growing a high performing team; and you desire an opportunity to pursue funding from technology focused government agencies (e.g. ONR, DoD Service labs and acquisition organizations) to help further U.S. National Security Objectives.

Requirements

Typically requires an advanced degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 12 years of prior relevant experience unless prohibited by local laws/regulations.
Experience in building nationally competed advanced research and development programs spanning a range of disciplines, organizations, and missions.
Experience managing interdisciplinary teams facing significant technical and programmatic risks.
Experience managing and executing advanced R&D projects to include accomplishing organizational firsts or first known demonstrations.
Background in application of emerging S&T to national security challenges and deep expertise in advanced electromagnetic systems to include synthetic aperture radars, RF edge processing, digital phased arrays, Rydberg apertures, and advanced antenna design, simulation, and measurements.
Active and transferable U.S. government issued TS/SCI security clearance is required prior to start date.
U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Experience writing and reviewing classified government technical specifications and generating system performance requirements

Nice To Haves

PhD degree in Engineering, or a related STEM degree.
Experience as a planner and execution leader for complex analyses for DoD customers.
Excellent presentation and communication skills.
Demonstrated success in developing future principal investigators (PI’s) through technical leadership, proposal writing, sponsor engagement, and Co‑PI assignment and mentorship.
Experience with emerging threats and familiarity with the advanced technologies and CONOPS needed to counter these threats.

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 autonomous 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.