Post Doc Position in Predictive Control and Energy Optimization for Hybrid EV Charging Systems

0 - 4 years

0 Lacs

Posted:4 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Postdoctoral Researcher in Predictive Control and Energy Optimization for Hybrid Electric Vehicle (EV) Charging Systems, you will be responsible for developing advanced control and energy management strategies for hybrid EV charging stations integrated with renewable energy sources and energy storage systems. Your primary focus will be on ensuring efficient energy flow coordination, facilitating bidirectional energy exchange (V2G), implementing demand response mechanisms, and enabling grid-interactive functionalities to operate seamlessly under dynamic conditions. This research role plays a crucial part in contributing to the global initiatives aimed at promoting low-carbon transportation and enhancing the resilience of smart grid systems. Your work will involve exploring innovative solutions that are at the forefront of technology, with the potential to make a significant impact through high-quality publications, collaborative research projects, and the possibility of technology transfer. The position requires a Ph.D. qualification in areas related to microgrids, EV charging, power electronic control, or renewable energy. It is essential for candidates to have prior research experience in power electronics, EV charging infrastructure, renewable energy systems, and microgrids. Strong quantitative research skills and a proven track record of scholarly publications are necessary to excel in this role and contribute effectively to ongoing projects. This is a research-focused opportunity with a duration of 2 years, subject to periodic performance assessments. If you are passionate about leveraging your expertise in energy management and control strategies to drive advancements in hybrid EV charging systems, this position offers a stimulating environment where you can apply your skills to address critical challenges in the transition towards sustainable transportation and smart grid technologies. The deadline for applications is August 15, 2025.,

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