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We have 39 University of Sheffield Computer Science PhD Projects, Programmes & Scholarships

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University of Sheffield Computer Science PhD Projects, Programmes & Scholarships

We have 39 University of Sheffield Computer Science PhD Projects, Programmes & Scholarships

Collective Decisions in Animals and Robots

This project will study mechanisms for making effective collective group decisions to achieve goals that are embedded in space, drawing on inspiration from animal behaviour and neuroscience to design algorithms for robots. Read more

Embodied Decisions in Animal and Robot Brains

This project will study mechanisms for making effective decisions to achieve goals that are embedded in space, drawing on inspiration from brains to design algorithms for robots. Read more

Language Model-Grounded User Simulation for Personalised Conversational Systems

This PhD project aims to advance the development of personalised conversational systems by leveraging user simulation, an area of research supported by recent advancements in large language models known for their strong capability in natural language understanding and generation. Read more

Real-Time Brain Injury Prediction and Protection Framework for Intelligent Vehicles

The advancement of intelligent vehicles (IVs) has significantly improved their collision avoidance capabilities under normal driving conditions, yet the complete prevention of accidents remains elusive. Read more

Remote patient monitoring using wearable devices and AI

Artificial intelligence (AI) has permeated various aspects of modern life, significantly influencing the healthcare sector. Fuelled by this momentum, remote patient monitoring facilitated by mobile sensing technology is on the way to changing how patients are monitored and treated. Read more

Multimodal Control of Prosthetic Limbs/Paralysed Muscles

This project aims to enhance the quality of life of patients with amputees, spinal cord injury, stroke and brain injury by developing advanced control strategies for artificial limbs. Read more

Statistics and AI for Engineering and Smart Manufacturing

Overview. We are thrilled to announce an exceptional PhD opportunity in the dynamic fields of Statistics and Artificial Intelligence, specifically tailored for Engineering and Smart Manufacturing. Read more
Last chance to apply

Developing digital twin and digital product passports for high-value electric machines to support their end-of-life decisions

In support of the research activities of the EPRSC-funded Future Electrical Machines Manufacturing Hub, the University of Sheffield is offering a funded PhD scholarship to undertake research in the development of digital twin and digital product passports for high-value electric machines to support their end-of-life decisions. Read more

Trust in Distributed Surveillance Systems

Are you interested in Machine Learning and Signal Processing methods and their applications to autonomous systems and surveillance? We have a PhD project funded by the UK Government Defence Science and Technology Laboratory (DSTL) at the University of Sheffield, a leading World University and a Russell Group University in the UK. Read more

Control Theory for Security-Sensitive and Safety-Critical Networked Feedback System

In a world rapidly adopting intelligent systems, ensuring the safety of critical control systems has become paramount. From self-driving cars, surgical robots to high-precision temperature control of warehouses, any breach of safety constraints in these systems may lead to catastrophic consequences. Read more

Hydrogen production impacts for drought resilience planning

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 future operation of our water infrastructure. Read more

Cognitive performance in videogame players and esports athletes

Previous research suggests that playing action videogames, especially first-person shooters such as Counter-Strike, is related to cognitive performance, including attention, executive functions, and information processing speed (e.g., Bediou et al., 2023). 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

Discover doctoral opportunities at the Information School

The Information School. A long established and highly respected department, the Information School is the number one department of its kind in Europe, and second in the world according to the QS World University Rankings by Subject 2019. Read more

Nonlinear Model Predictive Control

Optimization-based control explores the use of optimization algorithms for feedback control of dynamical systems. For example, model predictive control (MPC) is a widely used optimization-based control method, allowing systematic and optimal handling of constraints, nonlinearities and uncertainties. Read more

PhD study in the Department of Economics

We are seeking talented and enthusiastic students to join the PhD programme in Economics at the University of Sheffield from September 2023. 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

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

Multi-Sensor Data Fusion and Smart Decision Making

Future intelligent systems will involve the deployment of large-scale sensor networks in which hundreds or thousands of microsensors, unexpensive, small and lightweight devices with integrated sensing, computing, communication and possibly actuation capabilities will work together to achieve a common mission-specific task. Read more

Multi-rate and/or non square systems and/or decentralised control

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

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