Optoelectronic Device Integration for Next-Generation Photonic Memories and Neuromorphic Computing is sponsored by University of Southampton. This opportunity supports mission-aligned projects and measurable outcomes.

Optoelectronic device integration for next-Generation photonic memories and neuromorphic computing | University of Southampton Taught postgraduate study Postgraduate taught degree courses Postgraduate taught tuition fees Funding your postgraduate taught studies Pre-masters for international students How to apply for a postgraduate taught degree Postgraduate offer holders - prepare for your studies Pre-sessional English courses PhDs and research degrees Create your own research project Funding your research degree How to apply for a PhD or research degree How to make a PhD enquiry Support while studying your PhD or research degree Exchanges and studying abroad Undergraduate degree courses Foundation year programmes Undergraduate tuition fees Funding undergraduate studies Application advice and resources Tuition fees, funding and scholarships Lunchtime evening and weekend courses Choose your halls of residence Your accommodation options Our accommodation guarantee Essential university packing list Boldrewood Innovation Campus University Hospital Southampton Join our student community Academic and mental health support Inclusion and respectful behaviour policy Support for disabled students Institutes, centres and groups Faculties, schools and departments Interdisciplinary research Find people and expertise Develop your organisation Become a research partner Knowledge Transfer Partnerships Continuing professional development Set up a staff secondment Collaborate on a short term student project Advertise graduate jobs and internships Find people and expertise University of Southampton Delhi University of Southampton Malaysia Partnerships and initiatives View all current projects Postgraduate research project Optoelectronic device integration for next-Generation photonic memories and neuromorphic computing View full entry requirements Faculty of Engineering and Physical Sciences This project focuses on developing nanostructured optoelectronic devices for next-generation photonic memory and neuromorphic computing.

You will design and fabricate brain-inspired nanoscale systems using advanced materials and nanopatterning, integrating them with photonic sources to realise high-speed, energy-efficient optoelectronic neural networks for future artificial intelligence (AI) and computing technologies.

This project offers an exciting opportunity to work on the cutting-edge design and development of nanoscale optoelectronic devices, specifically tailored for next-generation memory systems and neuromorphic computing applications. These are optoelectronic devices and systems that can realistically emulate biological neural networks.

In this project you will explore advanced materials and novel nanopatterning techniques to develop the next generation of nanodevices. High throughput fabrication of nanodevices on large areas will be pursued using organic and inorganic materials processed via solution-based or sputtering techniques. You will integrate these devices and arrays with photonic structures, serving as the optical source.

This novel optoelectronic technology can effectively emulate synaptic weights and may be programmable both via light and voltage/current.

You will join the multi-disciplinary Flexible Nanoelectronics Lab , work at the world-class labs of the Optoelectronics Research Centre , while you will have the opportunity to build connections with UK and European research partners by being affiliated also with the UK Multidisciplinary Centre for Neuromorphic Computing .

Additionally, you will be encouraged to attend major conferences, sharing your work and networking with leading experts. The outcomes of your research can have various applications, such as Internet of Things and edge computing, AI, artificial vision, high density data storage for wearable devices, and many others.

This project is a chance to contribute to emerging technologies with the potential to revolutionise data processing and computing, while gaining skills, recognition, and experience that will position you as a leader in the field of nanoelectronics and memory technology. The School of Optoelectronics (ORC) is committed to promoting equality, diversity inclusivity as demonstrated by our Athena SWAN award.

We welcome all applicants regardless of their gender, ethnicity, disability, sexual orientation or age, and will give full consideration to applicants seeking flexible working patterns and those who have taken a career break. The University has a generous maternity policy, onsite childcare facilities, and offers a range of benefits to help ensure employees’ well-being and work-life balance.

The University of Southampton is committed to sustainability and has been awarded the Platinum EcoAward.

Professor Dimitra Georgiadou photonic synapses for neuromorphic computing and AI hardware photoelectric memories for in-memory sensing and computing green manufacturing of flexible nanoelectronic devices Professor Frederic Gardes You must have a UK 2:1 honours degree, or its international equivalent , in one of the following: The following work experience is desirable: optoelectronic device characterisation thin film characterisation (AFM, SEM, XRD, optical spectroscopies).

Full scholarships include tuition fees, a stipend at the UKRI rate plus 10% ORC enhancement tax-free per annum for up to 3. 5 years (totalling £22,858 for 2025/26, rising annually) and a budget of £4200 for things like conference travel. UK, EU and Horizon Europe students are eligible for scholarships.

CSC students are eligible for fee waivers. Funding for other international applicants is very limited and highly competitive. Overseas students who have secured or are seeking external funding are welcome to apply.

For more information, please visit our postgraduate research funding pages.

choose programme type (Research), 2026/27, Faculty of Engineering and Physical Sciences select Full time or Part time search for programme PhD ORC (7097) add name of the supervisor in section 2 of the application Applications should include: degree transcripts and certificates to date English language qualification (if applicable) Faculty of Engineering and Physical Sciences If you have a general question, email our doctoral college (feps-pgr-apply@soton.

ac. uk) . For an initial conversation, email Professor Dimitra Georgiadou (D.

Georgiadou@soton. ac. uk) .

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