Researcher in Machine Learning for Ramp-up Estimation and Recommendation Engine Optimization

The Politecnico di Milano seeks a Researcher to upgrade machine learning-based pipelines for estimating ramp-up duration in indoor environments, implementing sliding window-training schemes and optimizing training window sizes with safety margins. The role also involves implementing and improving a recommendation engine to suggest optimal operation hours for centralized cooling systems and supply units in individual indoor spaces.