**Job Description**
This Ph.D. project focuses on developing robust solutions for energy management systems (EMS) in electric vertical take-off and landing (eVTOL) vehicles, specifically utilizing hybrid energy storage systems (HESS) comprising lithium-ion batteries and fuel cells. The research aims to address critical gaps in current eVTOL EMS, including the limitations of rule-based and optimization-based methods, weaknesses of model-predictive control (MPC) against uncertainties, and the lack of robust state estimators, by applying advanced AI, MPC, and optimization techniques.
**Skills & Abilities**
• Analytical skills
• Ability to demonstrate good knowledge in system modelling – simulation
• Knowledge of (classical or modern) control theories or control applications
• Electrification technology (desirable)
• Knowledge and experience in aerospace/automotive/transport sectors (desirable)
• Knowledge of energy storages (battery) (desirable)
• Advanced control techniques (optimisation / adaptive / robust / intelligent control, AI/ML) (desirable)
• Academic publications in relevant fields (desirable)
**Qualifications**
Required Degree(s) in:
• Control Engineering
• Mechanical Engineering
• Electrical Engineering
• Physics
• Computer Science
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