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We have 219 complex systems PhD Projects, Programmes & Scholarships



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complex systems PhD Projects, Programmes & Scholarships

We have 219 complex systems PhD Projects, Programmes & Scholarships

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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

UCL SECReT: The International Training Centre for Security and Crime Research Degrees

UCL's Security Science Doctoral Research Training Centre (UCL SECReT) was founded in 2009 with support from the Engineering and Physical Sciences Research Council (ESRC) and an array of public and private sector organisations working in crime reduction security and law enforcement. 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

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

Correlation ensembles in complex networks

The project is centred on characterizing a new type of complex network ensemble. In studying complex systems, researchers often use graph-sampling methods to build networks obeying given constraints, such as a degree sequence or a joint-degree matrix (JDM). Read more

Testing Robotics and Autonomous Systems Using Search-based Techniques

  Research Group: Applied Computing
Robotics and Autonomous Systems (RAS) are becoming indispensable for human productivity and it is estimated that there will be a £13 billion global market for RAS by 2025. Read more

Explainable AI for Safety Critical Engineering Systems

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

Interpretable and Reliable AI for Condition Monitoring of Industrial Systems

Advanced AI techniques, such as deep neural networks, are very useful for monitoring nonlinear dynamics of complex systems, however, there exists scepticism in industry about automated systems taking decisions, sometimes based on opaque criteria that negates human intuition. 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

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