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We have 22 Machine Learning PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Glasgow
Machine Learning PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Glasgow
We have 22 Machine Learning PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Glasgow
A PhD in Machine Learning focuses on the application of mathematical and statistical models to find patterns in data. You'll be asked to identify, model, and evaluate the systems that can be used to improve the performance of computer systems.
What's it like to do a PhD in Machine Learning?
Traditionally, Machine Learning is divided into different subfields. You'll have the option of choosing from popular fields of study such as Computer Vision and Language Processing.
Some popular Machine Learning subfields are:
Computer Vision
You can opt for a PhD in Computer Vision if you're interested in developing computer systems that can analyse and interpret digital images and video. You'll likely be asked to research methods to improve object classification, image registration, object tracking, and object recognition.
Language Processing
If you're interested in a PhD in Language Processing, you'll be looking at ways to improve the way computers interpret, process, and generate language. You'll be researching methods and techniques to process, store, and search large text collections. You may also be asked to research methods to improve natural language processing.
Machine Learning also has application in other fields such as finance, healthcare, manufacturing, and retail. However, the above are the most popular areas of research.
A PhD in Machine Learning will require you to come up with a research proposal to be defended in an oral exam during your viva. Your research will involve experimentation and observation that may culminate in a publishable paper at the end of your project.
PhD in Machine Learning entry requirements
A PhD in Machine Learning requires a minimum of a 2:1 undergraduate degree in a related subject. You may also be asked to show that you have the necessary pre-entry experience in computer science.
PhD in Machine Learning funding options
A PhD in Machine Learning will most likely have funding attached, meaning if you're awarded a studentship, your tuition fees will be covered and you'll receive a monthly stipend.
PhD in Machine Learning careers
Machine Learning models form the basis of many technologies we interact with every day. A PhD in Machine Learning will equip you with the skills to enter a wide range of careers in industries such as finance, healthcare, retail, and defence. You may also choose to continue your research and aim for a career in academia.
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Physics Informed Machine Learning for Gas Solids Multi-Phase Flow Characterisation
Project Reference Number. Please refer to project number SCEBE-21SF-PIML -McGlinchey. Background. Read more
Rethinking Human Rights Implementation in the Era of Data-Intensive Technologies: Machine-Learning Based Decision Making and the Duties of Public Authorities.
Key words. digital data; law; human rights; machine learning; algorithm; public authorities; public policy. Digital data is an increasingly important asset in UK public governance, with public authorities turning to the exploitation of large-scale databases to provide more effective and efficient service delivery. Read more
PhD in Computing Science - Machine-learning based cyber resilience for the CNI
The Critical National Infrastructure (CNI) is becoming digitally enhanced and interconnected through the interface between Operational Technology (OT) with generic ICT capability. Read more
Predicting drug solubility in different solvents using molecular simulation and machine learning
Predicting the solubility of complex drug-like molecules is crucial at several stages of the drug discovery and manufacture. In particular, solvent selection has been highlighted as a crucial step in process design and optimisation [1]. Read more
Use of Deep Learning for Image-Based Fruit Trees Disease Detection on Edge Devices.
PROJECT REFERENCE NUMBER. SCEBE-22SF-DLIB-Enemali. BACKGROUND. The United Nations Food and Agriculture Organization (FAO) assumes that food and feed production will need to increase by 70% by 2050 to meet the world’s food need (FAO, 2009). Read more
Correlating digital and experimental chemical space to pharmaceutical manufacturing processes
This project will deliver a novel, interpretable machine-learning model for predicting powder flow considering physical, chemical, and computed molecule/particle features. Read more
A novel membrane-free flow battery for renewable energy storage: Prototype Design by Simulation
PROJECT REFERENCE NUMBER. Please select SCEBE-22SF-NMFFB-Chen from the drop-down list or add this to your proposal writeup. BACKGROUND. Read more
Design and Development of Prescriptive Maintenance Framework for Digital Manufacturing
PROJECT REFERENCE NUMBER. Please use reference number SCEBE-21SF-DDPMFDM-Jain. BACKGROUND. The fourth industrial revolution prompted a paradigm shift from predictive to prescriptive maintenance. Read more
PhD in Robotic Automated Inspection
Fully Funded – Enhanced Stipend – Industry Sponsored - TWI. Aligned with EPSRC CDT in Future Innovation in Non-Destructive Evaluation . Read more
Neuromorphic RF sensing and processing
Artificial Neural Networks (ANN) have been a research topic since 1940's, even though it is only after the formalisation of the backpropagation algorithm for ANNs in 1986, that it has become possible to effectively train a non-linear ANN with multiple hidden layers of neurons. Read more
Data-intensive Technologies in Corporate Human Rights Due Diligence: Current Regulatory Challenges and Future Prospects
In the past few years, data-intensive technologies have come to play a critical role in corporate strategy and decision-making processes, such as customer insight and marketing, recruitment, risk management and predictive analytics. Read more
Design and Development of Trustworthy Digital Maintenance Framework
REFERENCE NUMBER. Please refer to SCEBE-22SF-DDTDMF-Jain from the pull-down list or in your proposal write-up. BACKGROUND. As part of Industry 4.0, maintenance activities are being optimised digitally with data-driven methods built on artificial intelligence (AI). Read more
PhD in Integrating Materials Innovation into Ultrasonic Transducers for Underwater Sonar
Industrial Partner. Thales. Underwater sonar is the most important imaging technique for use underwater, finding applications in marine surveying, ocean monitoring, shipping navigation, and the defence and fishing industries, amongst others. Read more
PhD in Integrating Materials Innovation into Ultrasonic Transducers for Underwater Sonar
Industrial Partner. Thales. Underwater sonar is the most important imaging technique for use underwater, finding applications in marine surveying, ocean monitoring, shipping navigation, and the defence and fishing industries, amongst others. Read more
Cognitive intelligence to support explainable, automated industrial decision support
Project Details: There is substantial research in the field of developing and applying machine learning approaches to specific challenges, often with… Read more
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