Bayesian Tracking Scientist – Multi-Sensor Fusion

General Atomics Intelligence; Charlottesville (VA); On-site; USD 98,000 - 171,000; Full time

Job summary

GA-Intelligence in Charlottesville seeks a Statistics PhD to develop tracking algorithms that process data from heterogeneous sensors, fuse tracks across domains, and enable time-critical intelligence decisions.

You will apply Bayesian inference, state-space modeling, and Monte Carlo methods to multi-target tracking challenges that combine mathematical rigor with operational constraints. You will work with engineers to deploy algorithms at scale and stay engaged with the research community.

Qualifications

• PhD in statistics or related quantitative field with Bayesian focus.
• Experience with state-space models and sequential estimation.
• Ability to communicate complex statistics to technical and non-technical audiences.
• Proven track record in research publications or conference presentations.
• Ability to obtain and maintain a DoD security clearance.

Responsibilities

• Research and develop state-of-the-art tracking algorithms.
• Validate performance with Monte Carlo simulations on real data.
• Collaborate with analysts and engineers to deploy production-ready algorithms.
• Publish internal research and present findings to diverse audiences.
• Mentor junior researchers and shape future research directions.

Skills

Bayesian inference

State-space modeling

Monte Carlo methods

Python

MATLAB

R

C++

Java

Data fusion

Multi-target tracking

Education

PhD in Statistics

Dissertation on Bayesian inference

Strong foundations in probability & statistics

Tools

Python

MATLAB

R

C++

Java

Job description

GA-Intelligence in Charlottesville seeks a Statistics PhD to develop tracking algorithms that process data from heterogeneous sensors, fuse tracks across domains, and enable time-critical intelligence decisions.

You will apply Bayesian inference, state-space modeling, and Monte Carlo methods to multi-target tracking challenges that combine mathematical rigor with operational constraints. You will work with engineers to deploy algorithms at scale and stay engaged with the research community.