We have 25 University of Sheffield, School of Computer Science PhD Projects, Programmes & Scholarships
University of Sheffield, School of Computer Science PhD Projects, Programmes & Scholarships
We have 25 University of Sheffield, School of Computer Science PhD Projects, Programmes & Scholarships
Sh.24.3 PhD in Sound Analysis for Predicting Category 1 Ambulance Calls
Project type. Academic-Led project. Supervisors. Dr Ning Ma and Professor Jon Barker, University of Sheffield. Project Partner. Yorkshire Ambulance Service NHS Trust. Read more
Automatically Detecting, Reproducing and Fixing Flaky Software Tests
The cost of software failures is a huge burden to the worldwide economy that was estimated to be at least £1.3 trillion in 2017. Consequently, software testing, a vital defence against failures, contributes to a large proportion of software development effort and cost. . Read more
Causal Representation Learning in Computer Vision
Recent years have witnessed significant strides made by machine learning-based computer vision, thus enabling machines to interpret and understand visual information. Read more
PhD studentship in Computer Vision - AI-driven Geographic Data Integration
We are seeking a motivated PhD candidate to contribute to our efforts to develop innovative artificial intelligence-based tools for integrating and consolidating multidimensional geographic data from diverse sources. 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
Finding the needle in the ocean: multimodal retrieval systems for unstructured data (S3.5-COM-Zhao)
Imagine trying to solve a puzzle with pieces scattered across different rooms, each room representing a type of media like text, images, audio, or video. Read more
Towards Cognitive Video Understanding with Large Foundation Models in Video Question Answering (S3.5-COM-ZChen)
In recent years, large foundation models, such as OpenAI’s GPT series and Google’s Gemini, have transformed the field of natural language processing, achieving unprecedented success across a range of language tasks. Read more
Revolutionizing Manufacturing Productivity with an AI-Powered Question-Answering System for Industry Codes and Standards (S3.5-COM-Song)
In manufacturing confidence in codes and standards is critical for ensuring product safety, quality, consistency, and regulatory compliance. Read more
User Simulation-Grounded Automatic Conversational Depression Diagnosis Support (C3.5-COM-Wang)
Depression, a form of depressive disorder, is increasingly common among the population, representing a significant mental health concern. Read more
Developing Digital Biomarkers for Tracking Multiple Sclerosis Progression Using Wearable Devices and AI (S3.5-COM-Sun)
Multiple Sclerosis (MS) is a chronic neurological disease that affects over 2.5 million people globally. Mobility impairment, particularly difficulty with walking, is among the most significant challenges for people with MS (pwMS). Read more
Cooperative Alignment via Multi-agent Reinforcement Learning (S3.5-COM-Loftin)
Deep reinforcement learning (RL) refers to a class of state-of-the-art machine learning algorithms that use deep learning (i.e., neural networks) to solve long-term decision-making problems. Read more
Lifelong Learning for Multimodal Farming Data Analytics in Precision Fertilisation Management (C3.5-COM-Yang)
In order to reduce carbon emissions and improve crops productivity, many countries have developed IoT enabled smart farming technologies that enables monitoring, collecting and storing massive farming data over long-time scales. Read more
GlucoVox: Voice Analysis for Non-Invasive Diabetes Glucose Monitoring Using Machine Learning (C3.5-COM-Ma)
Background. Diabetes is a leading cause of preventable death and affects over 500 million people worldwide, with nearly half unaware of their condition. Read more
Exploring the Lives of Flying Insects: Using Machine Learning to enable the Instrumentation of Tracking Tags (S3.5-COM-Smith)
Biologging has revolutionised the study of vertebrates, allowing their behaviour to be recorded in the wild, far from the researcher. Read more
Interpretable and transferable machine learning interatomic potentials for magnetic materials (S3.5-COM-Ellis)
To design the next-generation of materials for applications across domains such as data storage or smart sensing requires an understanding of how its component atoms interact in many different environments. Read more
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