Job Description

Unspecified

Position:Senior Lead Engineer - Prognostic Health Monitoring

Education:

Bachelors / Masters in Mechanical /Aeronautical / Electrical / Data Science

Skill sets: 

  • Python (Pandas, Numpy, Matplotlib, Seaborn, Scikit learn, Tensorflow)

  • Well versed with PHM (Prognostic Health Monitoring) concepts of feature engineering, anomaly detection, model performance metrics, signal processing, statistical analysis

  • Knowledge on Physics based analytics & physics informed Machine Learning approaches

  • Solid foundation in machine learning algorithms (regression, classification, anomaly detection, time-series forecasting).

    • Job Description:

  • Develop physics based analytics & physics informed machine learning–based analytics for sensory data from aircraft systems (e.g., engines, actuators, fuel and air conditioning systems).

  • Work closely with SMEs, design engineers, and PHM teams to understand the physical behavior of systems and translate it into analytical models.

  • Analyze and process large-scale time-series data using Databricks, PySpark, and distributed computing frameworks.

  • Develop fault detection, degradation tracking, and anomaly detection algorithms using statistical and ML methods.

  • Integrate physics-based features (derived from thermodynamics, fluid mechanics, or system modeling) with ML models for improved interpretability and accuracy.

  • Perform feature engineering, dimensionality reduction, and signal fusion across multiple sensors and systems.

  • Validate and verify analytics using test data and SME feedback, ensuring physical consistency and robustness.

  • Collaborate in the development of digital twins, prognostics and health management (PHM) models, and predictive maintenance frameworks.

    • Other Preferred skill sets that are nice to have:

  • Experience developing physics-informed neural networks (PINNs) or hybrid physics + ML models.

  • Knowledge of prognostics and health management (PHM), RUL (Remaining Useful Life) estimation, and system-level health modeling.

  • Familiarity with simulation tools (MATLAB/Simulink, Modelica, NPSS) for validation and model correlation.

  • Experience with digital twin frameworks or model-based system engineering (MBSE) environments.

  • Exposure to cloud-based analytics, CI/CD pipelines, and MLflow for model management.

    • Collins Aerospace

    Collins Aerospace, a Raytheon Technologies company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio and expertise to solve customers’ toughest challenges and to meet the demands of a rapidly evolving global market.

    Avionics:

    Our Avionics team advances aviation electronics and information management solutions for commercial and military customers across the world. That means we’re helping passengers reach their destination safely. We’re connecting aircraft operators, airports, rail and critical infrastructure with intelligent data service solutions that keep passengers, flight crews and militaries connected and informed. And we’re providing industry-leading fire protection and safety systems that our customers can count on when it matters most. Are you ready to learn from the most knowledgeable experts in the industry, develop the technologies of tomorrow and reach new heights in your career? Join our Avionics team today.

    Apply for this Position

    Ready to join ? Click the button below to submit your application.

    Submit Application