Published: 24 Nov 2025 290 views
Artificial intelligence is transforming society but comes with a growing energy and carbon cost. This project will explore new nanostructured materials and device architectures that can deliver brain-inspired computing with radically improved energy efficiency.
You will design and fabricate nanoscale neural elements using emerging semiconductors, such as 2D materials, ferroelectric polymers, and hybrid organic–inorganic systems, exploring their potential for in-memory sensing, learning, and computation. By integrating these materials into scalable device arrays, the project aims to create neuromorphic systems capable of energy-efficient information processing.
Fully funded (UK and international)
You must have a UK 2:1 honours degree, or its international equivalent, in one of the following:
or another relevant subject.
You should have an interest in multidisciplinary research, and an aptitude for data analytics as well as other skills relevant to one or more of the core themes within the AI for Sustainability CDT.
Academic attainment is only one of our criteria for selection; we equally value the ability to work in teams, excitement for research, enthusiasm for the research focus of the CDT and the ability to communicate ideas. EU and Overseas applicants should achieve an IELTS score of 6.5 with at least 6.0 in each competency.
Applications should include:
Check also:
Wits-Edinburgh Programme in Sustainable African Futures by Mastercard Foundation 2026-2027
Department of Aeronautics MSc Scholarship at Imperial College London 2026
You need to:
For more details, visit University of Southampton Scholarship webpage
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