Research Statistician - Tracking and Estimation Theory

Are you a statistician who wants to see your Bayesian models protect national security?

GA-Intelligence is seeking a Statistics PhD to develop tracking algorithms that process data from heterogeneous sensors, fuse tracks across domains, and enable time-critical intelligence decisions. You'll apply statistical inference, state-space modeling, and Monte Carlo methods to multi-target tracking challenges that combine mathematical rigor with operational constraints.

Your work will span algorithm research, operational analysis, and production deployment—from deriving novel filters to validating performance on classified sensor data to partnering with engineers who implement your algorithms at scale.
 
DUTIES AND RESPONSIBILITIES: 
Algorithm Research and Development:

• Guide the development of state-of-the-art tracking algorithms from existing tracking literature, ensuring technical correctness.
• Develop statistical approaches to data association in multi-target, multi-sensor environments
• Derive probabilistic models for target behavior and sensor measurement processes
• Prototype algorithms in Python, MATLAB, or R and validate performance through Monte Carlo simulation
• Apply modern statistical and computational methods to emerging tracking challenges

Operational Impact:

• Collaborate with intelligence analysts to understand tracking requirements and operational constraints
• Analyze tracking performance on real-world sensor data from classified systems
• Quantify and communicate uncertainty, assumptions, and limitations to support operational decision-making
• Translate operational gaps into tractable statistical problems
• Partner with software engineers to transition algorithms from prototype to production

Research Leadership:

• Publish internal research on tracking advances and algorithmic innovations
• Present findings to technical staff, program managers, and government decision-makers, as well as external conferences
• Contribute to proposal development and help shape future research directions
• Mentor junior team members and future hires
• Stay current with tracking research literature and evaluate applicability to operational problems

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.