AI HVAC Control Research Scientist_CR
Core
Developing AI-based algorithms and advanced control strategies for sustainable HVAC systems and heat pumps to optimize energy efficiency, user comfort, and grid stability.
Role type
Senior Research Scientist (AI/ML for Physical Systems)
Builds
Functional prototypes and innovative solutions for thermal systems controls
Domain
Sustainability, HVAC engineering, Energy systems
Deliverable
production ML models | research | client delivery
Required skills
Model Predictive Control, Reinforcement Learning, thermal system modeling, simulation, Python, TensorFlow, PyTorch, Scikit-learn, data analytics, experimental design
Preferred skills
Experience with predictive maintenance, anomaly detection, model-based engineering, collaboration with universities
Technologies
Python, TensorFlow, PyTorch, Scikit-learn
Responsibilities
Develop and implement AI-based algorithms for thermal systems controls; Co-create with business units to formulate problem statements and generate innovation proposals; Engage in model-based engineering for energy systems and laboratory activities; Build cooperation with local institutions and universities for research collaboration.
Seniority
Senior, hands-on IC