Intern, HVAC Research
Core
Support HVAC research operations by developing physics-guided models and machine learning algorithms for anomaly detection and system diagnostics in refrigeration cycles.
Role type
Research intern (HVAC/Machine Learning)
Builds
Operational datasets, diagnostic algorithms, and simulation models for HVAC systems
Domain
Industrial Technology / HVAC / Machine Learning
Deliverable
production ML models
Required skills
HVAC systems knowledge, refrigeration cycles, Machine Learning fundamentals, Python, PyTorch, TensorFlow, Scikit-learn, MATLAB, Dymola
Preferred skills
Anomaly detection, predictive modeling, simulation studies, experimental investigations
Responsibilities
Study refrigeration cycle fundamentals and analyze HVAC system behavior, Develop first-principles and physics-guided models, Perform data analysis and feature extraction, Validate diagnostic methodologies using simulation and experimental results, Participate in technical discussions on refrigeration systems and controls, Prepare technical reports and research presentations
