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
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