Research Scientist (PhD)

The role

You will build forecasting and decision models for satellite link conditions and ground-network operations. You will develop and train machine learning models and prove them against real data and physics-based baselines.

What you will do

• 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.
• 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.

Required qualifications

• 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.
• U.S. person required (ITAR).

Nice to have

• Experience with time-series, signal, or physical-system data

About the company

constellationspace