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We have 219 complex systems PhD Projects, Programmes & Scholarships
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
System dynamics modelling and simulation of sufficiency policies in complex supply chains
Short Description. This PhD project aims to model and simulate the potential rebound effects of sufficiency policies in complex production and consumption systems using a system dynamics approach. 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
Control of Nonlinear Engineering Systems
The real world is inherently nonlinear. Particularly in mechanical systems, these nonlinearities arise from one or more of the following reasons. Read more
A chemical engine to produce mechanical force: towards a physio-chemical model of heart cells
Living systems are complex, and are based on the basic building blocks of genes, proteins, chemical reactions, and physical forces. 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
Numerical Algorithms and Analysis for Deterministic and Stochastic Systems
Details. Complex systems in biology, chemistry, and physics are often modelled using ordinary/partial/stochastic differential equations. 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
PhD Studentship: Control methods for reliable sensing information in interconnected energy systems
Title: Control methods for reliable sensing information in interconnected energy systems. Duration of study: Full Time four-years fixed term. Read more
