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We have 85 Computer Science PhD Projects, Programmes & Scholarships in Cardiff

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Cardiff  United Kingdom

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Computer Science PhD Projects, Programmes & Scholarships in Cardiff

We have 85 Computer Science PhD Projects, Programmes & Scholarships in Cardiff

Enriching Music Libraries [Self Funded Students Only]

  Research Group: Visual Computing
Music is an important phenomenon in human civilization, about which we understand surprisingly little. The information contained in musical scores is the central resource for musicological research, performers, composers, and librarians. Read more

Enriching Music Libraries

  Research Group: Visual Computing
Project description. Music is an important phenomenon in human civilization, about which we understand surprisingly little. The information contained in musical scores is the central resource for musicological research, performers, composers, and librarians. Read more

Analysing trends in belief systems on social media

About the Project. It is assumed in the literature that over the last 30 years there has been a shift in people's fundamental belief systems, away from traditional enlightenment values (universality, free speech, individualism) towards applied post modernism. Read more

PhD Studentship in Visual Perception for AI Generated Content

  Research Group: Visual Computing
One fully funded, full-time PhD candidate position to work with Dr Wei Zhou in the School of Computer Science on a project titled “Visual Perception for AI Generated Content”. Read more

Enriching Music Libraries [SELF-FUNDED STUDENTS ONLY]

  Research Group: Visual Computing
Project description. Music is an important phenomenon in human civilization, about which we understand surprisingly little. The information contained in musical scores is the central resource for musicological research, performers, composers, and librarians. Read more

Model Predictive Control for Autonomous Vehicles and Robots

  Research Group: Visual Computing
Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Read more

Quantum Leap in Medical Diagnosis: Advanced Magnetic Resonance Spectroscopy for Metabolite Quantification

Magnetic resonance spectroscopy (MRS) offers a powerful, non-invasive window into the body's biochemistry. By analyzing the unique spectral signatures of small molecules called metabolites, involved in essential cellular processes, MRS has the potential to revolutionize disease diagnosis. Read more

Social robots for Care: Exploring context awareness mechanisms for human-centred robot interactions [SELF-FUNDED STUDENTS ONLY]

  Research Group: Cybersecurity, Privacy and HCC Research Section
About the Project. Unpaid carers provide non-medical care to people who suffer from long-term diseases or disabilities. This role is highly demanding, causing a multidimensional impact on the caregiver's life. Read more

Social robots for Care: Exploring context awareness mechanisms for human-centred robot interactions

  Research Group: Cybersecurity, Privacy and HCC Research Section
About the Project. Unpaid carers provide non-medical care to people who suffer from long-term diseases or disabilities. This role is highly demanding, causing a multidimensional impact on the caregiver's life. Read more

Efficient and scalable consensus algorithms for decentralised cryptocurrencies

A decentralised cryptocurrency, such as Bitcoin invented by Satoshi Nakamoto, is a digital currency that can be transferred between users in a peer-to-peer manner without a centralised authority such as a Bank. Read more

Enhancing Women’s Access and Experiences of Care during Pregnancy through Digital Health Technologies [Self-Funded Students Only]

  Research Group: Cybersecurity, Privacy and HCC Research Section
This project is in collaboration with the University of Leicester, the University of Cape Town, and the broader EPSRC/GCRF funded UK-South Africa CoMaCH Network on Co-designing community-based digital health interventions for maternal and child health https://comach.melissadensmore.com/. Read more

Chess as a platform for inherently interpretable AI research [Self-Funded Students Only]

  Research Group: Visual Computing
The way in which AI systems make decisions is often different from the approach a human takes. Thus, the operation of an AI system may be difficult to interpret and learn from, and poses the problem of user trust. Read more

Searching for Anomalies on Mars

  Research Group: Visual Computing
In recent years, space agencies such as NASA and the European Space Agency (ESA) have conducted extensive planetary surveys, amassing a colossal volume of data from various celestial bodies, including Mars, the Moon, and through radar surveys of Venus and smaller celestial objects. Read more

Model Predictive Control for Autonomous Vehicles and Robots [SELF-FUNDED STUDENTS ONLY]

  Research Group: Visual Computing
Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Read more

Data-Centric Solutions for Earth Observation Challenges: Developing Cutting-Edge Techniques for Remote Sensing Analysis

In today's data-driven landscape, the importance of data-centric machine learning methodologies cannot be overstated where they prioritize the quality, diversity, and accessibility of data, recognizing that the performance and reliability of machine learning models heavily depend on the data they are trained on. Read more

Chess as a platform for inherently interpretable AI research

About the Project. The way in which AI systems make decisions is often different from the approach a human takes. Thus, the operation of an AI system may be difficult to interpret and learn from, and poses the problem of user trust. Read more

Enhancing Credibility Assessment in Information Systems through Few-Shot Learning

Aim and Goals. This project proposal seeks to innovate at the intersection of few-shot learning and credibility assessment in information systems (including recommender systems), leveraging the scarcity of data to enhance the trustworthiness and reliability of such platforms. Read more

Influence Maximisation and Counter-Narratives for Mitigating Harmful Viral Posts in Social Networks

Aim and Goals. The core objective of this PhD research project is to delve into the intricacies of Influence Maximization (IM) within social networks, thereby identifying influential users capable of spreading messages effectively across these platforms. Read more

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