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We have 118 optimization PhD Projects, Programmes & Scholarships

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optimization PhD Projects, Programmes & Scholarships

We have 118 optimization PhD Projects, Programmes & Scholarships

Adjoint based optimization of vertical axis wind turbines

Recently vertical axis wind turbines (VAWTs) have been more installed in urban areas than before. They are known to perform better in urban regions compared to horizontal axis wind turbines as they do not require alignment to the oncoming flow. 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

Machine learning assisted optimization techniques for fitting excitonic spin-orbit models to big data

A PhD studentship is available in the group of Chris Stock (School of Physics and Astronomy, The University of Edinburgh in collaboration with Russell Ewings (STFC-ISIS) and Bo Liu (University of Glasgow School of Electrical Engineering). Read more

PhD in Thermal route optimization of predictive controls to improve BEV efficiency using AI & ML

Route information has significantly improved the optimization of hybrid vehicle propulsion by determining the most efficient power source for different parts of a journey. Read more

Unmanned aerial vehicle thrust optimization with ducted propeller in various flight modes

A clear resurgence in ducted fan research in recent years can be noticed due to the growing interest in UAV/MAV (Unmanned/Micro Aerial Vehicle), PAV (Personal Aerial Vehicle) and electric propulsion. Read more

Pharmaceutical process development, optimization and scale-up of plant-based cancer drugs

Project - We are pleased to announce an exciting PhD opportunity within our ground-breaking project dedicated to the optimization of extraction and purification processes of plant-derived molecules, with potential applications in cancer treatment as a collaborative effort with the South Australian immunoGENomics Cancer Institute. Read more

Simulation and optimization of the anaerobic digestion process for the production of renewable energy and valuable compounds from biodegradable wastes

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

Nonlinear Model Predictive Control

Optimization-based control explores the use of optimization algorithms for feedback control of dynamical systems. For example, model predictive control (MPC) is a widely used optimization-based control method, allowing systematic and optimal handling of constraints, nonlinearities and uncertainties. Read more

Predictive and optimization-based control of smart grids: theory and algorithms

Model predictive control (MPC) has long been identified as a leading candidate technique for control in future power networks and smart grids, because of its ability to handle constraints and optimize the performance or economy of the system. Read more

AI-Driven Automotive Engineering Design

The intersection of Generative Artificial Intelligence (AI) and engineering design presents a promising avenue for innovation and efficiency in various industries. Read more

CDT-QTE: High fidelity quantum control for sensing and computing

Supervisory Team: Dr Tim Freegarde, Prof Ilya Kuprov. Project description:This project is part of the EPSRC Centre for Doctoral Training in Quantum Technology Engineering at the University of Southampton. Read more

Machine Learning Tools for Improving Energy Transfer in Nonlinear Systems

Supervisory Team:  Daniil Yurchenko and Tim Waters. This is a unique project to study how a combination of Machine Learning (ML) tools and Sparce Identification (SI) can be used for improving energy transfer and optimal performance of complex nonlinear systems. Read more

Learning for Control: Enabling Efficient Networked Autonomous Systems

Supervisory Team: Konstantinos Gatsis . Project description. There is an ongoing transformation in engineering autonomous systems that aim to achieve complex objectives with limited human intervention in applications such as robotics, self-driving cars, and industrial systems. Read more

Artificial Intelligence based Electric Vehicle Motor Design

Electric vehicle development has been a hot topic around the world. This PhD programme will develop artificial intelligence based computational tools to accelerate electric vehicle motor design and optimization process. Read more

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