or
Continue with FacebookLooking to list your PhD opportunities? Log in here.
neural network PhD Projects, Programmes & Scholarships
We have 49 neural network PhD Projects, Programmes & Scholarships
Last chance to apply
Graph Comparison using Deep Graph Representation Learning
GTA funded PhD studentship in Computing. Highlights. Development of novel deep graph-based methods for embedding graphs in a low-dimensional space. Read more
PhD Candidate: Computational Cognitive Neuroscience – Multisensory Perceptual Inference, Learning and Attention
Are you fascinated by how the brain makes sense of the senses in a complex dynamic multisensory world? How it flexibly adapts to changes in its environment? Join our multidisciplinary team to study the computations and neural mechanisms of how the brain addresses some of the most fundamental challenges. Read more
Machine Learning with Bio-Inspired Neural Networks
This research will investigate machine learning using biologically inspired spiking neural networks. While much is known about how to train deep artificial neural networks, relatively little is understood about how the brain learns and processes information using electrical pulses known as 'spikes'. Read more
Fully Funded PhD Scholarship in Multimodal User Authentication and Personalization at the Center for Computational, Cognitive and Connected Imaging (C3I)
Fully Funded PhD Scholarship in Multimodal User Authentication and Personalization at the Center for Computational, Cognitive and Connected Imaging (C3I). Read more
Less Is More! We Build Efficient Foundation AI Models With Fewer Parameters!
These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more
PhD Candidate: Computational Cognitive Neuroscience – Decision Confidence
Are you fascinated by the brain mechanisms behind perceptual decision making, sensory uncertainty, and decision confidence? Do you want to understand how we actively gather information across the senses to navigate an uncertain world? Join our multidisciplinary team as a PhD candidate to investigate these questions!. Read more
Automated Protein Structure Annotation with Advanced Language Models.
This project does not require any previous knowledge of Biology. Proteins are the building blocks of all living organisms’ cells. Read more
Scalable continuous Machine Learning for non-Stationary Systems
Nonlinear time series prediction attracts researchers from many different disciplines such as engineering systems condition monitoring and control, financial markets prediction and energy management, etc. Read more
Last chance to apply
Self Learning Digital Twin for Lung Disease Management
Project Highlights. Integration of medical data streams. Physics-informed neural networks. Clinical decision support systems. Project. Read more
Adversarial Learning for Industrial Control Systems
Cyber-attacks are increasingly posing more and more threat to information assets and computer systems in general. This is particularly so in industrial control systems which refer to a generalized group of automation systems employed in controlling and keeping track of industrial and manufacturing facilities [1]. Read more
Image-based Recognition of Unidentified Featured Objects (UFOs)
With the development of deep learning approaches and convolutional neural networks (CNN) in particular, the task of recognising objects from an image has become associated with the ability to train a network using a large number of labelled images for each class of interest [He2016]. Read more
KennelNet: A machine learning approach to postural estimation and behavioural monitoring in kennelled dogs. In partnership with Dogs Trust – The UK’s largest Dog Welfare Charity
This project provides an annual stipend of £19,237. . Project advert. In the UK, 130,000 dogs are housed in animal rescue centres at any one time. Read more
Using machine learning to predict cell-type specific effects of genetic variants which influence genome regulation
UK Dementia Research Institute (UK DRI) Centre at Imperial. PhD Studentship in Machine Learning for Genomics. Imperial College London, White City Campus, London, UK. Read more
Using machine learning to predict cell-type specific effects of genetic variants which influence genome regulation
UK Dementia Research Institute (UK DRI) Centre at Imperial. PhD Studentship in Machine Learning for Genomics. Imperial College London. Read more
Application of machine learning algorithms to medical images and clinical/DNA data
This project will develop an automated classifier or the estimation of prognosis of the illness using medical images of the human body, clinical data, and gene information. Read more