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Job Description
<p>- The candidate MUST be a PhD in the domain of energy management especially for smart home and building environment.
Preferable to have masters in the same domain.<br/><br/>- Thorough understanding of energy management systems like demand-response based energy management, time-of-day based energy management, energy profiling for smart home activities etc.<br/><br/>- Sound mathematical modelling skills to model energy management scenarios.<br/><br/>- Proficiency in energy consumption/storage/production internals for smart devices like AC, HVAC, Solar Panel, Energy Storing Batteries, Smart Switch Panels, Smart Plugs that are commonly used for energy management.<br/><br/>- Deep understanding of natural human behaviours (like presence, indoor positioning etc.) in relation to energy consumption and other external parameters like weather, comfort, clothing etc.<br/><br/>- Proficiency in ML/DL algorithms and implementation in the domain of smart home/building energy management and time series energy data handling.
Very good expertise on using related libraries (say in Python and R, like Tensorflow/PyTorch, Scikit-learn etc.).<br/><br/>- Good programming skill in energy specific domain is highly desirable.<br/><br/>- MUST have proven track record of research in this domain.<br/></p> (ref:hirist.tech)
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