Continue with FacebookLooking to list your PhD opportunities? Log in here.
data mining PhD Projects, Programmes & Scholarships
We have 27 data mining PhD Projects, Programmes & Scholarships
PhD saved successfully
Durham/Ørsted Maintenance data mining PhD - Using Data Mining for improving operation of offshore wind turbines
Wind turbines are highly reliable machines that are typically operated in remote offshore areas. The deployment of wind turbines is growing massively… Read more
Last chance to apply
Nuclear Data: A data science approach
Over the 100 years or more since nuclear physics existed as a subject, a vast array of nuclear data has been obtained for the thousands of isotopes that have been studied in the laboratory. Read more
Mapping the Character of Geographic Places [Self Funded Students Only]
Research Group:
Data and Knowledge Engineering
This project will use data mining and machine learning methods to categorise and then map geographic locations according to their distinguishing characteristics. Read more
Investigating the demand of data analytics skills in the Scottish labour market and patterns of supply in Scottish HE sector
Skills Development Scotland, amongst other institutions, have highlighted the importance of data literacy and analytical skills. The aim of this project is to understand the demand and supply for data analytical skills within Scotland. Read more
Forensic storage carving using AI
Storage devices tend to store information in blocks, and the arrangement of blocks in a certain order is the thing which represents a data object. Read more
Generative Logic Model for Data-Driven Discovery of Symbolic Commonsense Knowledge [Self Funded Students Only]
This project aims to study and implement algorithms for generating symbolic commonsense knowledge from potentially inconsistent, incomplete, dynamic, subjective and distributed data. Read more
Biomechanics and wearable sensors
Project Overview. Movement analysis and recording in humans has been confined to dedicated gait and motion capture facilities, but this only records movements for a single part of one day in an unusual environment. Read more
AI for Ecology and Biodiversity: Inferring habitat-species interactions from historical records [Self Funded Students Only]
Research Group:
Data and Knowledge Engineering
This project will apply artificial intelligence methods for natural language processing and machine learning to extract ecological and biodiversity data from textual descriptions of the environments in which biological specimens were collected. Read more
Deep learning for Intelligent Stock Trading [Self Funded Students Only]
Stock market is traditionally highly volatile, affected by various kinds of economic, political, social, and psychological factors. Read more
Automating knowledge synthesis in biomedical literature using AI and language models
Knowledge synthesis can be a slow and cumbersome process but is an essential tool for medical and public health policy-makers. Formal systematic reviews require rigid protocols and extensive human effort from trained professionals, whereas a massive volume of research evidence emerges every year. Read more
Model Predictive Control for Autonomous Vehicles and Robots [Self Funded Students Only]
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. Such methods rely on models that can predict a system's future behaviour in response to control inputs in order to find the optimal actions that drive the system to a desired state. Read more
Developing Explainable Recommendation Systems
We are seeking highly motivated individuals to join our research group as Ph.D. students in the field of Explainable Recommendation Systems. Read more
Competition and cooperation relationships within human microbial communities.
Typical studies of the human microbiome identify dysbiosis by sampling from healthy individuals, comparing them to individuals with a particular disease state, and reporting changes in the presence and/or abundance of bacterial species. Read more
Natural Language Processing for Public Health Surveillance
The sale of sugary products is still strong, despite the recommendations to reduce their consumption. When children consume too much sugar, they can suffer from obesity, type 2 diabetes and cardiovascular disease. Read more
Translational Medicine: Understanding the mechanism(s) of resistance to EPA to personalise therapy and improve outcome
Advanced colorectal cancer (CRC) is the UK’s second most lethal cancer, with limited treatment options for unresectable metastatic tumours. Read more
- 1
- 2
