Our course gives students a unique opportunity to critically study the developments and implications of digital technologies on contemporary culture and society. Read more
The School of Computing Science at the University of Glasgow is offering studentships to support PhD research for students starting by January 2023 or shortly… Read more
. The EPSRC Centre for Doctoral Training in Distributed Algorithms (DA CDT), has 15 fully-funded PhD studentships available from October 2022. Read more
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
Predictive control is by now a well established methodology whereby one bases the design of the control law on the optimisation of system predictions. Read more
In many chemical processes there are limitations on the sampling rates and the number of inputs and outputs may not match. This affects the structure of the control law as one ends up with a so called multi-rate or non-square system , for which conventional control design is not applicable. Read more
Predictive control requires the online solution of an optimisation problem which carries both a large online computation as well as the overhead of substantial code. Read more
The Ph.D. Programmes at the Scuola Superiore Sant'Anna are designed for talented graduates from around the world, who wish to carry out study and research in an international campus based in Pisa. Read more
Autonomous robots sense the world, accept instructions in abstract form and decide what to do. They need to decide whether they accept the command or suggestions and make plans to achieve an objective. Read more
Robot swarms can be highly beneficial for a wide range of applications. Some of these require scalable groups of robots to act jointly over large distances (e.g. Read more
Self-assembly processes are responsible for the generation of order in nature. They involve components at different scales, such as molecules, cells, and organisms. Read more
Consider a swarm of a million robots. Such a swarm could simultaneously sample a million locations in the ocean, pollinate a million plants in a field, or target a million cancer cells within a human body. Read more
This project explores Turing Learning [1], a method that infers the behaviour of a given system without needing pre-defined performance metrics. Read more
We are offering an exciting data science project for potential PhD students interested in developing and applying artificial intelligence (AI) in the context of population health. Read more
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