Job Description
Lead and conduct research in astrodynamics, GNC and orbit prediction, space weather, and space domain awareness (SDA) leveraging machine learning and advanced numerical methods. Design and develop high-fidelity GNC and astrodynamics models for high-performance FPGA-based computing platforms and space-grade embedded systems; collaborate with the broader engineering team to ensure their successful implementation. Apply advanced AI/ML algorithms such as physics-informed neural networks for system identification, sensor fusion, and autonomous decision-making in space environments. Serve as the Principal Investigator on complex GNC research efforts; manage technical milestones, and interdisciplinary teams. Lead proposal writing efforts and assist secure external research funding from federal agencies, commercial partners, and international organizations. Mentor early-career GNC engineers, postdocs, and graduate researchers; foster a collaborative and technically rigorous environment. Perform technical analyses to support space operations, including but not limited to the analyses of satellite conjunctions, deployment events, and maneuver detection; develop algorithms for autonomous monitoring and alerting. Lead technical interface with commercial and government customers; prepare and deliver high-impact presentations, status updates, and briefings. Publish research in leading journals and conferences; represent the organization in international technical fora and strategic collaborations.
About CesiumAstro
CesiumAstro develops out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms.