Optimising Neuromorphic Hardware Architectures

Summary

Efforts in electronic system sustainability have focused mostly on reusing and recycling. However, “repair” has not received as much attention, despite its potential to extend system lifespans significantly.

At Ulster University, researchers are developing bio-inspired solutions that make electronic systems more self-sufficient and resilient. Inspired by how biological systems handle failures, they are creating methods for these systems to “self-repair” and adapt to malfunctions, extending their operational life. This is a crucial step toward making electronics more sustainable by reducing the need for frequent replacements.For example, the most carbon intensive stage in a smartphone’s lifecycle is production and manufacturing (~80% of its total footprint). Giving an old phone a new life through refurbishment can therefore avoid significant emissions.

The Computational Neuroscience and Neuromorphic Engineering Team (CNET) works on two main research areas: brain-inspired hardware design and computer models of brain functions. This PhD project will focus on the first area, exploring innovative circuits for storing “synaptic weights” (a key part of how learning happens in biological and artificial neural networks). Using advanced storage methods, including photonic technology, these circuits could allow systems to be reconfigurable and energy-efficient, making them highly adaptable to real-world conditions.

The project aims to build new synaptic storage solutions that enhance neuromorphic (brain-like) computing hardware, which could make systems more capable of adapting to changes and enduring faults. Using technologies like FPGA (a type of reconfigurable hardware), the PhD research will test and refine neural network circuits with configurable weight storage to evaluate their performance under varied conditions.

Through this work, the PhD candidate will contribute to next-generation neuromorphic computing, helping pave the way for systems that are not only energy-efficient but also capable of continued operation despite faults, thus enhancing their sustainability.Fundamentally, the candidate will develop hardware design and testing skills.

Essential criteria

Applicants should hold, or expect to obtain, a First or Upper Second Class Honours Degree in a subject relevant to the proposed area of study.

We may also consider applications from those who hold equivalent qualifications, for example, a Lower Second Class Honours Degree plus a Master’s Degree with Distinction.

In exceptional circumstances, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications.

• Experience using research methods or other approaches relevant to the subject domain
• A demonstrable interest in the research area associated with the studentship

Desirable Criteria

If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.

• First Class Honours (1st) Degree
• Masters at 70%
• For VCRS Awards, Masters at 75%
• Experience using research methods or other approaches relevant to the subject domain
• Work experience relevant to the proposed project
• Publications - peer-reviewed
• Experience of presentation of research findings

Equal Opportunities

The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities.

Appointment will be made on merit.

Funding and eligibility

This project is funded by:

• Department for the Economy (DfE)