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We have 296 complex systems PhD Research Projects for Self-funded Students

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complex systems PhD Research Projects for Self-funded Students

We have 296 complex systems PhD Research Projects for Self-funded Students

Novel stochastic control method for a class of complex networks

Complex systems, which contain large ensembles of elements interacting with each other and are affected by noises and uncertainties, have become one of the major research fields due to their presence in the real life. 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

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

Neural Networks for Complex Dynamical Systems

Details. Dynamical systems are often solved/integrated by a suitable numerical discretisation method in such a way that certain properties of the underlying systems will be preserved. Read more

Generative AI for the Next Generation of Manufacturing Automation Systems PhD

The application of emerging technologies such as artificial intelligence, digital twin, blockchain, and the internet of things are growing fast, and their integration with complex manufacturing systems enables effective digitalisation and automation transition. Read more

EngD in AI Assurance and Verification

Artificial Intelligence plays a significant role in modern society and business, and this is only set to grow. The technology features in the electronic games we play, the cars we drive and the chatbots we engage with. Read more

Projects in mathematical systems and control theory

Mathematical systems and control theory “represents an attempt to codify, in mathematical terms, the principles and techniques used in the analysis and design of control systems” [1]. Read more

Explainable AI for Safety Critical Engineering Systems

  Research Group: Intelligent Systems and Robotics
The University of York is at the forefront of transformative research in data-centric engineering, digital twins, and AI. Our pioneering work is revolutionizing the design of complex systems by harnessing the power of data. 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

High-dimensional computations with applications to uncertainty quantification for multiphysics engineering systems

The Strathclyde Centre for Doctoral Training (SCDT) in "Data-driven uncertainty-aware multiphysics simulations" (StrathDRUMS) is a new, multi-disciplinary centre of the University of Strathclyde, which will carry out cutting-edge research in data-driven modelling and uncertainty quantification for multiphysics engineering systems. Read more

Space Trajectory Classification using Machine Learning

Supervisory Team: Dr Alexander Wittig, Dr Davide Amato (external, from Imperial). Project description. Interest in more complex dynamics of space trajectories beyond perturbed Keplerian dynamics is rapidly growing. Read more

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