University of Cambridge seeks a Research Assistant (Fixed Term) to develop data-driven and AI-based methods for improving energy efficiency of buildings and reducing carbon footprint. You will work on decarbonising heat in the UK’s existing building stock using data, modelling, and intelligent control.
The role involves building unified data pipelines, analyzing real-time and historical data, and prototyping approaches in a real deployment environment, at Queens’ College Cambridge, in
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Energy-Efficient Buildings ML Research Assistant in Cambridge employer: Camwebdir
Arm is an exceptional employer that fosters a diverse and inclusive work culture, encouraging collaboration across multiple countries in western Europe. With flexible working practices and a strong commitment to employee wellbeing, we empower our teams to shape the future of AI on edge devices while providing ample opportunities for professional growth and influence within the tech community. Join us to be part of a pioneering team that values innovation and supports your journey in the rapidly evolving field of machine learning.
