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We have 8 Electrical Engineering (nonlinear) PhD Projects, Programmes & Scholarships

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Electrical Engineering (nonlinear) PhD Projects, Programmes & Scholarships

We have 8 Electrical Engineering (nonlinear) PhD Projects, Programmes & Scholarships

Control of Nonlinear Engineering Systems

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more

Optimization and control of nonlinear and partial differential equations.

A PhD position, fully funded by the National Science Foundation (NSF) is available in the Cybernetic Systems and Controls Lab (CSCL) in the Department of Mechanical and Aerospace Engineering at Arizona State University in Tempe, AZ. Read more

Control of renewable energy / mechatronic / robotic systems

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more

A Superconducting Brushless Exciter for High-power Density Electrical Machines

Background. The ability of high-temperature superconducting (HTS) materials to carry large current densities with little or no resistance makes them attractive for providing large rotor magnetic fields in high-power density superconducting electrical machines. Read more

Scalable continuous Machine Learning for non-Stationary Systems

Nonlinear time series prediction attracts researchers from many different disciplines such as engineering systems condition monitoring and control, financial markets prediction and energy management, etc. Read more

Sequential Monte Carlo Methods for Bayesian Inference in Complex Systems

This project will focus on the development of Bayesian inference methods such as sequential Markov Chain Monte Carlo (MCMC) methods for filtering and smoothing of states and parameters of complex nonlinear systems. Read more
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