Research Scientist (PhD)

Constellation Space

  • Seattle, Washington
  • 30+ days ago

    Highlights

    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. D. (or near completion) in Machine Learning, Applied Mathematics, Physics, Aerospace, Electrical Engineering, or a related field.

    Numbers & Facts

    LocationSeattle, Washington
    Websitehttps://www.constellationspace.ai/

    Description

    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).

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