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).