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We have 24 Software Engineering PhD Projects, Programmes & Scholarships in Sheffield
Software Engineering PhD Projects, Programmes & Scholarships in Sheffield
We have 24 Software Engineering PhD Projects, Programmes & Scholarships in Sheffield
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AI-in-the-loop design optimization of building structures
Building sector accounted for near 40% of energy and process-related CO2 emissions in recent years. To ensure a sustainable built environment, it is vitally important to design buildings that are structurally efficient. Read more
Advanced brain-computer interface
A brain-computer interface (BCI) provides a direct communication pathway between a human brain and an external device. Using appropriate sensors and data processing algorithms, a BCI maps patterns of brain activity associated with a volitional thought onto signals suitable for communication and control. Read more
Active Wearables for Efficient Living
There has been a surge in the use of wearables for sensing health indices such as blood pressure or body stress, to replace or augmenting physical capability [1-4]. Read more
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Advanced magnetic resonance imaging methods for imaging the lungs of people with cystic fibrosis
Magnetic Resonance Imaging (MRI), and specifically functional MRI using hyperpolarised xenon-129 (129Xe-MRI), is a powerful imaging technique that provides detailed and sensitive information about lung diseases such as Cystic fibrosis (CF). Read more
UKRI Centre for Doctoral Training in Speech and Language Technologies and Their Applications
Up to 15 fully-funded 4-year PhD studentships commencing in September 2023. Read more
Powering nationwide water resource systems with low-carbon electricity
A reliable water supply and a successful energy transition are two necessary conditions for a sustainable future. Yet we know little about how the switch to intermittent renewables (wind, solar) for our energy supply will affect the operation of our water infrastructure. Read more
Towards practical applications of multi-robot systems
Multi-robot systems (MRS) are beginning to become commonplace in real-world applications such as warehouse logistics and manufacturing. Read more
The design of sustainable and effective debris flow barriers
Debris flows are fast landslides, occurring regularly in mountainous areas around the world. They consist of saturated debris and sediments mobilized by rainfall, and surging at high speed down slopes and natural channels. 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
Application of predictive control to fast systems
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
Wireless Sensor Networks for Localisation in Indoor and Outdoor Environments
The aim of this project is to develop scalable and efficient techniques and algorithms for localisation in different environments, based on data in Wireless Sensor Networks (WSNs). Read more
Vehicular Traffic Flow Modelling, Prediction and Control
This research will address many issues related with efficient, reliable and quick exchange of information and data over sensor networks for intelligent vehicular traffic systems. Read more
Using Brain Computer Interface to Improve Cognitive Performance
Electroencephalogram (EEG) is a non-invasive technique commonly used to measure brain activity. In this project, we aim at using EEG Biofeedback (brain-computer interface (BCI)) for improving cognitive performance (e.g. 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
Predictive control of non-linear and/or robust systems
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
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