Post Doctoral Scholar - Hydrogen Production

FSEC is seeking a postdoctoral researcher to participate in an Industry Innovation Program (IIP) in collaboration with Duke Energy to develop Long-Duration Energy Storage (LDES) systems for grid integration. Particularly, the optimal design and integration of green hydrogen energy system with solar and peaker plants will be investigated to address grid fluctuations/grid resiliency. Knowledge of commercial process modeling and optimization software (Pyomo, Matlab, Aspen Plus, gPROMS, ect.) is desired.
The areas of interest include but not limited to: • Electrochemical hydrogen production and consumption • Dynamic modeling, control and optimization of  integrated energy systems • Techno-Economic Analysis (TEA) and flexible operation of energy systems • Data-driven modeling, uncertainty quantification and optimization of systems design and process synthesis • Machine learning, Reinforcement learning and AI applications in energy systems  

The candidate will work closely with FSEC’s industry partner Duke Energy and other UCF energy institutes, e.g., Renewable Energy and Chemical Transformations (REACT) cluster and the Center for advanced Turbomachinery & Energy Research (CATER) to dynamic modeling, control and optimization of the integrated hydrogen energy system including hydrogen production and consumption as a grid asset to improve its reliability and flexibility under high penetration of renewable energy.

Minimum Qualifications: The candidate will work closely with FSEC’s industry partner Duke Energy and other UCF energy institutes, e.g., Renewable Energy and Chemical Transformations (REACT) cluster and the Center for advanced Turbomachinery & Energy Research (CATER) to dynamic modeling, control and optimization of the integrated hydrogen energy system including hydrogen production and consumption as a grid asset to improve its reliability and flexibility under high penetration of renewable energy.

Preferred Qualifications: Large-scale energy system optimization using Pyomo/Python * Dynamic modeling and advanced control of power plant and electrochemical process (e.g., fuel cell, electrolyzer, electrochemical compression) using Apsen/gPROMS/COMSOL *Techno-economic analysis and optimization of  integrated energy systems  * Data driven modeling and uncertainty quantification

1) cover letter
2) current curriculum vita
3) copies of all academic transcripts
4) research statement (how your research work aligns with the position requirements).

When prompted during the on-line application process, please provide names, phone numbers and email addresses of three professional references. Only complete application materials will be considered.  Active review of applications will begin on December 10, 2024, but the search will continue until the position is filled.

For questions regarding the position, please contact Dr. Yifan Wang,  Assistant Professor Florida Solar Energy Center, University of Central Florida at 321 638-1438 or by email yifan.wang@fsec.ucf.edu

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Equal Employment Opportunity Statement:

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