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We have 507 control engineering PhD Projects, Programmes & Scholarships

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control engineering PhD Projects, Programmes & Scholarships

We have 507 control engineering PhD Projects, Programmes & Scholarships

Wider benefits of the National Pollinator Strategy

  Research Group: Applied Ecology Research Group (AERG)
Research Group. Applied Ecology Research Group (AERG). Proposed supervisory team. Dr Alvin Helden. Dr Tom Ings. Several other members of Biology staff with interest in this subject area could be part of the team e.g., Dr Peter Brown and Dr Sarah Hart. Read more

Social relationships and the evolution of complex cognition

  Research Group: Behavioural Ecology Research Group (BEEC)
Research Group. Behavioural Ecology Research Group (BEEC). Proposed supervisory team. Dr Claudia Wascher. Theme. Cognitive abilities, Social relationships. Read more

Impact of Ischaemic Pre-Conditioning on Oxygen Uptake Kinetics: Implications for training and recovery

  Research Group: Cambridge Centre for Sport and Exercise Sciences
Research Group. Cambridge Centre for Sport and Exercise Sciences. Proposed supervisory team. Dr Dan Gordon. Dr Marie Gernigon (External - University of Paris-Saclay). Read more

AI for sustainability in food supply chain and pricing

  Research Group: Computing, Informatics and Applications Research Group
Research Group. Computing, Informatics and Applications Research Group. Proposed supervisory team. Dr Lakshmi Babu Saheer. Dr Cristina Luca. Read more

EPSRC CDT in Machine Learning Systems

Machine Learning has a dramatic impact on our daily lives built on the back of improved computer systems. Systems research and ML research are symbiotic. Read more

Automatic Object and Behaviour Recognition in Video/ Image Sequences

Smart CCTV systems have been subject on an increased interest during the last decades. There are many reasons for this interest, such as the need of processing quickly, in an automatic way huge amounts of video data. 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

Damage characterisation and root cause analysis of wind turbine pitch bearings

Blade pitch bearings of large scale wind turbines control the individual blades in order to maximise power generation at low wind speeds and to prevent turbine damages under high winds. Read more

CFD Study of Wind Turbine Aerodynamics

Wind turbine is the main technology that converts wind energy to electricity. The interaction between air flow and the turbine blade are critical to the structure integrity and noise generation of the turbine. Read more

Advanced virtual reality future power plant dynamic simulations

This project aims to combine computational fluid dynamics, chemical process modelling and virtual system simulation techniques to develop a dynamic modelling tool for power plant performance simulations. Read more

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