The School of Electronic Engineering and Computer Science (EECS) at Queen Mary University of London is seeking a dedicated Postdoctoral Research Associate to join their research team. The postholder will develop phase-change material platforms for nanophotonic and neuromorphic computing applications, effectively integrating material physics with advanced device architectures.

About the School and Institution: The School of EECS is renowned for its world-leading research, ranking joint first in the UK for the impact of Computer Science research and second for Electronic Engineering research output (REF 2021). Its computing courses are recognized by the Institute of Fiscal Studies as top in the country for social mobility. Queen Mary University of London offers an inclusive, flexible, and supportive work environment committed to social justice, academic excellence, and diversity.

Employment Benefits: Queen Mary University of London offers competitive salaries, a generous pension scheme, 30 days of annual leave per annum (pro-rata for fixed-term/contract positions), a season ticket loan scheme, flexible working arrangements, family-friendly policies, and access to a comprehensive range of personal and professional development opportunities.

Eligibility Criteria:

• Holds a PhD in Materials Science, Photonics, Applied Physics, Electronic Engineering, or a closely related academic discipline.

• Proven experience working with phase-change materials, such as GST and other chalcogenides.

• Strong background in nanophotonics or integrated photonics.

Required expertise/skills:

• Solid understanding of device physics, including switching dynamics, endurance, and energy efficiency.

• Hands-on experience in nano-device fabrication and characterisation.

• Knowledge of neuromorphic or non-von Neumann device concepts.

• Experience designing and operating optical and electrical measurement setups.

• Strong analytical and modelling skills, with the ability to bridge materials science, device physics, and system-level applications.

• Proven publication record in high-quality peer-reviewed journals.

• Capability to thrive in an interdisciplinary environment spanning materials, photonics, and artificial intelligence.

• Desirable/Advantageous: Experience integrating phase-change materials with silicon photonics, working on memristive devices, machine learning-based optimization, wafer-scale fabrication, or industrial collaboration.

Salary details: £38,419 to £49,130 per annum Full-Time, Fixed-Term Contract

Application Deadline: August 19, 2026

Application Link