Researcher - Smart Grids and Energy Optimization

• Collaborate with team members to conduct research and advance state-of-the-art methods in integration of electric vehicles (EVs) and flexible loads with the grid and energy optimization.
• Design, develop, and implement advanced real-time modeling and optimization algorithms for energy management and EV integration into larger utility grid and behind-the meter use cases for buildings and homes.
• Design, develop, and implement learning and prediction algorithms to predict energy consumption of buildings.
• Evaluate grid impacts of EV charging and develop new smart charging solutions.
• Collaborate with stakeholders from business units to identify potential use cases and ensure practical utilization of research outcomes and product-technology fit.
• Publish research findings in reputable journals and conferences.

Requirements

• Good track record of research publications in reputable journals and conferences
• Excellent coding skills (e. g. , Python, MATLAB) along with practical experience in version control, software testing, and linting
• Hands-on experience in commonly used simulation tools in system modelling and simulation
• Strong knowledge in algorithm development and optimization methods (discrete and continuous)
• Excellent understanding of smart grids, electric vehicle fundamentals and charging protocols
• Experience with handling big data and big data analytics
• Profound problem-solving skills and ability to work both independently and collaboratively in a research team environment.
• Excellent presentation and communication skills

Additionally, the following would be desirable and an added advantage:

• Prior experience with cloud and edge computing
• Prior work experience in corporate research setting or academic research before or after Ph. D.
• Solid understanding of software development fundamentals and hands-on experience in software development technology stack