Research Scientist - R/Python/Machine Learning - Energy Domain

- 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.

- 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.

- Sound mathematical modelling skills to model energy management scenarios.

- 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.

- 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.

- 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.).

- Good programming skill in energy specific domain is highly desirable.

- MUST have proven track record of research in this domain.