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We have 186 predictive PhD Projects, Programmes & Scholarships

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predictive PhD Projects, Programmes & Scholarships

We have 186 predictive PhD Projects, Programmes & Scholarships

Model Predictive Control for Autonomous Vehicles and Robots [SELF-FUNDED STUDENTS ONLY]

  Research Group: Visual Computing
Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Read more

Model Predictive Control for Autonomous Vehicles and Robots

  Research Group: Visual Computing
Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Read more

Model Predictive Control for Autonomous Vehicles and Robots [Self Funded Students Only]

Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Such methods rely on models that can predict a system's future behaviour in response to control inputs in order to find the optimal actions that drive the system to a desired state. Read more

Development of an Adaptive Predictive Maintenance Framework for Industrial Systems

Applications are invited for a fully funded PhD position to start in October 2024. About the position. The School of Engineering at University of Sunderland, UK is pleased to announce a fully funded (tuition fee waiver + monthly stipend) PhD position. Read more

Predictive design of drug co-crystals through correlative studies of inter-molecular interactions

  Research Group: School of Chemical and Process Engineering
This interdisciplinary project presents an exciting opportunity for an ambitious scientist or engineer to work across the boundaries of chemistry, physics and engineering, with opportunities to develop a broad portfolio of skills. 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

Predictive molecular models of high-performance elastomers in demanding environments

High-performance elastomers enable some of the most sophisticated modern technology. They are designed to operate in the often-punishing environments such as those encountered in aerospace industries. Read more

Directed Co-Crystallisation of Pharmaceuticals: developing a predictive method for co-crystallisation

  Research Group: Chemistry and Biosciences
In this project, we propose to use a combination of computational and experimental techniques to develop a predictive method for co-crystallisation. Read more

Autonomous Drone Surveys and Convolutional Neural Networks for Bridge Maintenance: A Predictive Approach Using Finite Element Analysis

Objective. The primary objective of this research is to develop a comprehensive framework for bridge maintenance that integrates autonomous drone surveys, convolutional neural networks (CNNs), and Finite Element analysis. Read more

Application of predictive control to fast systems

Predictive control is relatively unwieldy and therefore does not lend itself to applications requiring fast sample rates. However many recent developments have looked at how the algorithm can be implemented both more efficiently in time and with relatively simple coding requirements. 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

NIHR Leeds BRC: Multimodal predictive modelling of outcome in patients with gastrointestinal cancer

Worldwide, cancer of the upper (oesophagus, stomach) and lower gastrointestinal (colon and rectum) tract is newly diagnosed in 3.6 million patients every year and 2.2 million patients die from this disease every year. Read more

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