- Collaborate with team members to conduct research and advance stateoftheart methods in integration of electric vehicles (EVs) and flexible loads with the grid and energy optimization.
- Design develop and implement advanced realtime modeling and optimization algorithms for energy management and EV integration into larger utility grid and behindthe 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 producttechnology 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
- Handson 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 problemsolving 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 handson experience in software development technology stack
Qualifications :
Ph.D. in Engineering (preferably Electrical Mechanical or Computer Science) from top Indian institutes (IITs IIITs IISc etc.) or from top international institutes
Additional Information :
3 years
Remote Work :
No
Employment Type :
Fulltime