Constellation Space
Research Scientist (PhD)
Seattle · On-site · Full-time · Posted Jun 30, 2026
- Education
- Ph.D. (or near completion) in a listed or related field.
About the job
Develops and validates machine-learning forecasting and decision models for satellite links and ground-network operations, translating research into deployable code.
What you'll do
- Develop and train models for link-condition forecasting and operational decisions; acquire and preprocess relevant datasets.
- Benchmark learned models against physics-based baselines, including reporting failures, and conduct GNC and RF simulation research.
- Collaborate with academic groups, publish or present findings, and turn research into shippable code.
What they ask for
- Ph.D. or near completion in Machine Learning, Applied Mathematics, Physics, Aerospace, Electrical Engineering, or a related field.
- Publications or equivalent research output in forecasting, deep learning, reinforcement learning, or scientific ML.
- Strong Python and PyTorch or JAX; able to write reproducible research code.
- U.S. person required (ITAR).
Nice to have
- Experience with time-series, signal, or physical-system data.
Tools
Python, PyTorch, JAX
AI focus
Develop machine-learning models for satellite link-condition forecasting and operational decisions, and validate them against deterministic physics models.
Model-written summary · the original posting is authoritative