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We have 23 neuromorphic PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
neuromorphic PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 23 neuromorphic PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
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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
Neuromorphic tactile interface for human-robot interaction
The sense of touch is an essential component for the development of robotics and autonomous systems capable of interacting safely with humans and their surrounding environment. Read more
Neuromorphic Photonic Spiking Processing Systems for Light-Enabled AI
Start date. October 2023. Duration. 3yrs. Description. The human brain is exceptional at performing fast and efficiently highly complex tasks. Read more
Modelling Numerical and Abstract Cognition in Developmental Neuromorphic Robots
This scholarship will support the PhD candidate to carry out frontier research in Developmental Neurorobotics, a combination of Neuromorphic Computing and Cognitive Developmental Robotics. Read more
Complexity-driven neuromorphic photonics in ultrafast nonlinear systems
Neuromorphic computing is a rapidly evolving research area aiming to overcome some of the standard limitations of current Machine Learning (ML) technologies. Read more
Memristive Artificial Synapses for Neuromorphic Computing
Supervisory Team. Firman Simanjuntak, Ruomeng Huang. Project description. Read more
Neuromorphic Devices for Optoelectronic Neural Networks
Supervisory Team. Dimitra Georgiadou, Frederic Gardes. Project description. Neuromorphic engineering is poised to revolutionise information technologies by developing electronic devices that can realistically emulate biological neural networks. Read more
PhD Studentship in Nano-electronics: Emerging memory devices (memristor) and its application in neuromorphic and in-memory computing
Applications are invited for a full PhD scholarship in the School of Engineering, Liverpool John Moores University (LJMU). Read more
Novel phase change materials for neuromorphic applications
Supervisory Team. Ioannis Zeimpekis, Fred Gardes. Project description. In collaboration with a large EU consortium, we work to create a reprogrammable neuromorphic photonic platform for a variety of applications from telecommunications to biosensing. Read more
Novel VO2 based memristor for neuromorphic computing and AI
Research Group:
Sustainable Electronic Technologies
Vanadium dioxide (VO. 2. ) is a unique material as it has a temperature driven insulator to metal transition just above room temperature resulting in more than 3 orders of magnitude change in resistivity. Read more
PhD Studentship in Computer Science – Low Power and High-Performance Neuromorphic Vision System
Overview. Prompt reaction to an interesting event is a critical feature for any embedded system for safe and reliable interaction with the environment. Read more
Spintronic devices for neuromorphic computation
Recent development in neuromorphic computation will achieve low power and highly efficient calculations as compared with the conventional von Neumann computation. Read more
Neuromorphic Computing: A Computer Chip That Thinks Like The Brain
PhD Scholarship available to work on brain-like (or “neuromorphic”) computing using electronic devices that are self-assembled from nanoparticles (or “clusters”). 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
Silicon Synapses for Artificial Intelligence Hardware
Supervisory Team: Firman Simanjuntak. Project description. Sustainable Electronics Technologies (SET) Research Group, University of Southampton. Read more
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