MSCA Postdoctoral Fellowships 2025 - Expression of Interest

Newly established UK Multidisciplinary Centre for Neuromorphic Computing invites expression of Interest for MSCA Postdoctoral Fellowship. Call opens on 8th May 2025.

Send your academic CV and half-page project summary to: neuromorphic@aston.ac.uk.

Potential Research Topics and Hosts:

Aston University 

(Focus: Human Neurobiology, Organoid-Device Integration, Hybrid Systems, Photonic SNNs applied)

• Neuronal network activity and plasticity in human cortical organoids 

• Inference, entropy and cross-communication in human cortical organoid arrays 

• Neuromorphic device designs inspired by human cortical organoid dynamics 

• Hybrid silicon-cortical neuromorphic systems 

• Photonic spiking neural networks 

• Photonic extreme learning machines

Loughborough University

 (Focus: Human Neurobiology, Organoid Structures and Modelling, Stimulation Protocols)

• Evolving Structures and Connectivity in Human Cortical Organoids

• Development of Computational Models of Synaptic Behaviour in Organoids

• Cortical Organoid Networks

• Microfabrication of Neural Networks

• 4D Bioprinting Methods for Organoid Modelling

Southampton University

(Focus: Foundational Materials, Energy-Efficient Devices, Optoelectronic Synapses, Sustainable Manufacturing)

• Ultra-Low-Power Optoelectronic Synapses using 2D Materials 

• Nanopatterning and Integration of Novel Materials for Neuromorphic Devices 

• Hybrid Operational Modes for Energy-Efficient Synaptic Devices 

• Integrating Neuromorphic Devices with Sustainable Photonic Sources 

• Reconfigurable Photodiode Arrays for In-Memory Neuromorphic Sensing 

Queen Mary University of London 

(Focus: Foundational Materials, PCMs, Perovskites, Photonic Architectures, ML for Materials/Architectures, EM Modelling)

• Machine Learning and Novel Phase-Change Materials for Optical Memories 

• Perovskite-Based Neuromorphic Components for Photonic Systems 

• Perovskite Components for Industrial Neuromorphic Systems 

• Computations based on Photonic Neuromorphic Computing 

• AI-Driven Material Discovery for Scalable Photonic Neuromorphic Architectures 

Cambridge University

(Focus: photonics-based analogue computing and computing architectures for AI; Hybrid quantum–classical algorithms and scaling laws for optical AI accelerators)

• Photonics-based analogue computing and computing architectures for AI 

• Quantum Effects for Neuromorphic Systems 

• Hybrid Quantum-Classical Computing Architectures for AI 

• Gain-Based Photonic Systems for Complex AI Problems 

Oxford University

 (Focus: Hybrid Quantum-Classical Computing, Energy-Efficient Weight Updates, Reliable Photonic Devices, Integrated Hardware, MAC Operations)

• Energy-Efficient Weight Update Mechanisms for Neuromorphic Hardware 

• Photonic Neuromorphic Devices 

• High-Density Integrated Neuromorphic Hardware 

• Photonic Device Development for Energy-Efficient MAC Operations 

University of Strathclyde

 (Focus: Photonic SNNs, Scaling Architectures, Reservoir Computing, Event-Based Sensing)

• Neuromorphic photonic integrated technologies.

• Photonic Spiking Neural Networks 

• Real-Time Data Analysis and Pattern Recognition using Spiking Neural Networks

• Photonic Reservoir Computing Systems for Spatiotemporal Data 

• Integration of Light-Enabled Event-Based Sensing with Photonic Neuromorphic Systems