Working Title: Hydrogen for Transportation
Position Type: Trust Research Academic Staff (TRAS)
Start Date: May 1, 2025 or when suitable candidate has been found
Length: 2 Years with possible option for 2 year extension
This job posting is for a Senior Researcher in the Department of Mechanical Engineering, focusing on low-carbon transportation research. The role requires expertise in the transportation industry and managing research facilities.
Faculty/Department: Engineering/Mechanical
Project Title: Physics-Informed Machine Learning Control for Hydrogen Maximization in Heavy-duty Engines
Position Type: Doctorial Student
Start Date: September 1, 2025 or when suitable candidate is found
This position is for a PhD student in the Mechanical Engineering Energy Control Lab (MEECL), focusing on integrating advanced machine learning (ML) networks for hydrogen internal combustion engine control. The research will explore Physics-Informed Neural Networks (PINNs) and Kolmogorov-Arnold Networks (KANs) to improve Model Predictive Control (MPC), enhancing prediction accuracy while reducing computational demands. The developed ML-based controllers will be experimentally validated in a state-of-the-art testing facility for heavy-duty transport engines.
Working Title: Machine Learning-based Control Development for Hydrogen Energy Conversion Systems
Position Type: Post Doctoral Fellow
Start Date: May 1, 2025 or when suitable candidate is found
Length: 2 Years with potential for 2 year extension
This position is for a Postdoctoral Fellow in the Mechanical Engineering Energy Control Lab (MEECL), focusing on developing Machine Learning Control (MLC) for zero-carbon energy conversion systems, specifically 100% hydrogen internal combustion engines (ICEs). The research will aim to enhance engine efficiency, durability, and low emissions, with potential future applications in fuel cells. The role involves experimental testing, physics-based modeling, and data-driven control strategies.
This position is part of the low-carbon transportation research team, working closely with graduate students, research associates, and principal investigators to develop cutting-edge control strategies for sustainable energy solutions.