About the role
The Role
We are looking for a PhD-level Research Scientist to build the models behind ConstellationOS. You will develop forecasting and decision models for satellite link conditions and ground-network operations, and prove them against real data and physics-based baselines. Your work shows up in customer pilots and government evaluations.
Responsibilities
- Develop and train machine learning models that forecast link conditions and support operational decisions.
- Own data acquisition and preprocessing for telemetry, weather, atmospheric, and RF datasets.
- Benchmark learned models against deterministic physics models and report results honestly, including failures.
- Do simulation research for GNC and RF systems.
- Work with academic groups and publish or present results
- Turn research into code the platform team can ship.
Requirements
- 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 research code others can run.
- Experience with time-series, signal, or physical-system data is a plus.
- U.S. person required (ITAR).