IMT Institute for Advanced Studies Lucca
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We have 38 dynamical systems PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
dynamical systems PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 38 dynamical systems PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
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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
Delay-induced stabilisation of dynamical systems
Time delays are often the source of system instability. There are many examples of nonlinear or distributed parameter systems where an arbitrarily small input or output delay destabilises the system. Read more
FULLY-FUNDED 3.5-YEAR PHD STUDENTSHIP – A novel dynamical systems view of wall bounded turbulence
We are excited to announce a new PhD opportunity in fundamental and applied fluid mechanics. The successful candidate will join a vibrant team of researchers within the. Read more
A dynamical systems theory approach to optimisation in fluid mechanics
Supervisory Team. Davide Lasagna. Project description. A PhD studentship is available in the area of numerical simulation, optimisation and stability analysis of turbulent flows. 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
Optimal Energy Transfer in Nonlinear Systems
Supervisory Team: Daniil Yurchenko and Tim Waters. This is a unique project to study how energy transfer can be optimally performed between subsystems of a nonlinear system. Read more
Nonlinear System Analysis Using Convex Optimization
The foundations of dynamical systems theory can be traced back to Isaac Newton. Newton was the first to model the motion of physical systems as differential equations. Read more
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
Kernel methods for system identification with application to the analysis and classification of cardiovascular time series
Supervisory Team: Dr Andrea Lecchini-Visintini, Prof David Simpson. Project description. Read more
Control of multi-agent systems using continuum mechanics modelling
A multi-agent system is a group of interacting dynamical systems. Famous examples are robot swarms, smart grids, traffic flows, communication networks, and transportation systems. Read more
12 Ph.D. positions in “Systems Science” at the IMT School for Advanced Studies Lucca
The IMT School for Advanced Studies Lucca is now recruiting 12 fully funded doctoral candidates in its Systems Science (SyS) Ph.D. Read more
Computational Modelling and Control of Nonlinear and Fluidic Systems with Application to Immunology
Our laboratory specializes in the use of optimization-based methods to model, analyze and control uncertain, nonlinear and fluidic (PDE) systems. Read more
A PhD Studentship in Control Design of Battery Energy Storage Systems under Uncertainties
Applications are invited for a PhD studentship, to be undertaken at Imperial College London (Control and Power Group, Department of Electrical and Electronic Engineering). Read more
Development of a collaborative robot – human-robot collaboration
Robots work effectively in factories. For example, in car factories, huge robotic arms pick up car parts and join them to the skeleton of the car, working at less than millimetre and millisecond precision. Read more