About the Role
The position involves leading research initiatives in signal processing, developing novel algorithms, and transitioning theoretical concepts into functional systems within a multidisciplinary team environment.
Responsibilities
- Lead the design and development of advanced signal processing algorithms
- Conduct theoretical analysis to support new processing techniques
- Implement and validate algorithms in software and hardware environments
- Collaborate with cross-functional teams on system integration
- Evaluate performance using simulation and field data
- Publish findings in technical journals and present at conferences
- Identify emerging research directions in signal analysis
- Guide prototyping efforts for experimental validation
- Support the transition of research into operational systems
- Mentor junior researchers and technical staff
- Ensure technical rigor across research initiatives
- Develop mathematical models for signal behavior
- Optimize processing pipelines for speed and accuracy
- Investigate machine learning integration with traditional methods
- Address challenges in noisy or low-signal environments
- Work with large-scale sensor data sets
- Translate system requirements into algorithmic solutions
- Participate in proposal writing and research planning
- Maintain awareness of advancements in related technical domains
- Ensure compliance with technical standards and protocols
Nice to Have
- Experience with multi-sensor data fusion
- Background in machine learning for signal classification
- Prior work in defense or aerospace applications
- Knowledge of compressed sensing techniques
- Experience with real-time operating systems
- Familiarity with cybersecurity principles in signal systems
- Patents or commercialized research outcomes
- Project leadership in government-funded research
- Experience mentoring research teams
- Knowledge of regulatory constraints in signal transmission
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with partial remote flexibility
Team
Collaborative research environment with engineering and scientific teams
Security Requirements
- Candidate must be able to obtain and maintain a security clearance
- U.S. citizenship is required for compliance with government regulations
Research Focus Areas
- Sparse signal recovery
- Nonlinear filtering
- Direction of arrival estimation
- Signal classification under uncertainty
- Robustness in adversarial environments
Available for qualified candidates
