Post Doc 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

Minimum Qualifications:

A PhD degree or foreign degree equivalent, from an accredited institution in Chemical Engineering or Process Systems Engineering, and basic proficiency in one or more of the followings: hydrogen system and process, electrochemical model (e.g., electrolyzer, battery, fuel cell) development, techno-economic analysis (TEA), mathematical modeling of chemical process, advanced control and optimization.

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

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