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We have 57 Computer Science PhD Projects, Programmes & Scholarships in Bristol
Computer Science PhD Projects, Programmes & Scholarships in Bristol
We have 57 Computer Science PhD Projects, Programmes & Scholarships in Bristol
EPSRC Centre for Doctoral Training in Aerosol Science
Fully-funded 4-year PhD studentships are available as part of the EPSRC Centre for Doctoral training in Aerosol Science. Read more
PhD in Quantum Information Science Technologies
Fully funded four-year PhD studentships are available for exceptional graduates with a background in mathematics, engineering, computer science and the physical sciences. Read more
Modelling salivo-surveillance for detecting population immunity, transmission dynamics and changes in vaccine effectiveness
Vaccination is a highly effective public health intervention that prevents morbidity and mortality. The UK vaccination programme evolves in response to vaccine developments and emerging evidence. Read more
Funded PhD open to UK-domiciled, home fee applicants of Black African, Black Caribbean or other Black or mixed Black heritage: Digital twin simulations of visual perception to explore animal camouflage
Background. The core challenge of understanding animal colouration is complex. animals exist in intricate ecosystems that interact differently with various observers, including predators, prey, potential mates and competitors1. Read more
Analyzing Peripheral Neural Signals with Open-Ephys
The project. We invite applications for a PhD project exploring tactile afferent neural signals through cutting-edge data analysis and experimental techniques. Read more
Multimodal AI for Healthcare Data Analysis
The project. We are seeking a motivated PhD student to join our research team, working on the development of multimodal AI methods for advanced healthcare data analysis. Read more
Integrative AI-driven multi-omics analysis to decode the tumour microenvironment and its clinical implications in Non-Small Cell Lung Cancer
The project. With over 1.5 million deaths annually, non-small cell lung cancer (NSCLC) remains one of the leading causes of cancer-related mortality worldwide. Read more
Deep learning for Computational Imaging
The project. The Bristol Visual Information Lab (VI-Lab) and the School of Engineering Mathematics are offering an exciting PhD position for a student passionate about machine learning, mathematical image modelling, and computer vision. Read more
Accelerating Deep Learning Models
The project. As deep learning (DL) models, such as ChatGPT, continue to rise in popularity and integration across industries, the demand for sustainable and efficient AI solutions has become critical. Read more
Advanced Aerial Robotics
The Project. We are interested in the design, perception, and control of aerial robots to foster sustainable operations. Read more
Fully funded EPSRC Centre for Doctoral Training (CDT) in Cyber Security
Digital infrastructures are at the heart of our societal fabric. They range from traditional critical infrastructures, for example, water, power to emerging ones such as smart cities, intelligent transportation, Fintech and future banking, through to large social and business interaction platforms. Read more
Digital Tool Chain For Defect Prediction And Optimisation In Thermoset Composites Lay Flat And Form
The project. This project will create new optimisation tools that can help the development of the manufacturing process of large-scale, high-value composite parts. Read more
Unveiling intercellular dynamics in cancer progression using deep learning on single-cell and spatial transcriptomics data
The project. Colorectal carcinoma (CRC) is the second deadliest cancer worldwide, with a 5-year overall survival rate below 10%. CRC is classified into four consensus molecular subtypes (CMS1–4). Read more
Modelling the Human Cancer Genome
The project. Following on from work on integrative methods for machine learning, and with collaborators such as Tom Gaunt at the University of Bristol, we have been developing integrative methods for identifying disease-driver variants in the human cancer genome (see [1] for a review, also [2]). Read more
Instruction Following for Resource Efficient NLP Models
The project. Large language models (LLMs) are known for their ability to follow instructions and learn from examples provided inside a prompt. Read more