Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

We have 105 neural network PhD Projects, Programmes & Scholarships

Discipline

Discipline

All disciplines

Location

Location

All locations

Institution

Institution

All Institutions

PhD Type

PhD Type

All PhD Types

Funding

Funding

All Funding


neural network PhD Projects, Programmes & Scholarships

We have 105 neural network PhD Projects, Programmes & Scholarships

EPSRC ICASE with Leonardo UK: Spiking Neural Network Processing for Infra-red Event Driven Cameras

The aim of this PhD studentship is to research the combination of an infrared event-driven camera (EDC) with data processing algorithms based on neuromorphic (NM) processing and Spiking Neural Networks (SNN), addressing EPSRC’s mission inspired challenges for AI, Digitisation & Data. Read more

Next-Generation Spiking Neural Networks Architectures and Machine Learning Algorithms

Spiking Neural Networks (SNNs) represent the so called ‘third generation’ of artificial neural network models, that bridge the gap between neuroscience and artificial intelligence by relying on biologically realistic models of neurons and network architectures to carry out computations. Read more

AI Driven Urban Planning for Clean, Sustainable, Inclusive, and Efficient Cities

Summary. This project is under the Edinburgh Earth, Ecology and Environment Doctoral Training Partnership (E4 DTP). E4 DTP, led by the School of GeoSciences at the University of Edinburgh, is funded by the Natural Environment Research Council to recruit and train 5 cohorts of PhD students annually between 2019 and 2023. Read more

Cognitive Computational Neuroscience: Emergent decision and related computation with biological recurrent neural networks

With the advent of technology, data in brain sciences are becoming more complex. To understand brain functions and their underlying biological mechanisms, advanced data science and biologically plausible computational modelling are needed. Read more
Last chance to apply

Large-scale photonic-electronic integration for next generation neuromorphic computing systems

Start date. October 2023. Duration. 3.5yrs. Description. Neuromorphic computing has gained huge momentum in the last decade thanks to the emergence of novel machine learning algorithms such as deep learning. Read more

Simulating and Analysing the X-Ray Spectroscopy of Historic Stained Glasses with Deep Machine Learning

Background. X-ray scattering experiments provide a window into our cultural heritage in laboratories and on sites across the country.; they help us to understand historical art from cave paintings to Old Masters, answer questions about their origins, and teach us how to conserve them for future generations. Read more

Optimisation of radiation health monitoring through machine learning and data fusion

This PhD will combine AI (artificial intelligence) and experimental methods to provide an informed assessment of delayed material dosimetry within the radiation health monitoring landscape. 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

NeuroAI approaches to understanding inter-individual differences in cognition and psychiatric disorders

An important unsolved problem in psychology and neuroscience is. what determines the cognitive differences between individual people? And relatedly, why do some people develop psychiatric disorders while others don’t? One clue may come from the fact that human brain wiring is partially specified by our genomes. Read more

Filtering Results