PhD Studentship - Scalable In-Memory Computing Architectures for AI

The Centre for Electronics Frontiers (CEF) led by Regius Chair of Engineering Prof Prodromakis, brings together diverse and interdisciplinary expertise for transforming modern society through technology. Our ambition is to push the frontiers of electronics through emerging technologies, disrupting current ways of thinking by innovating advanced nano/biosensors, safe and efficient energy storage solutions and novel hardware for AI. We are offering prospective PhD students the opportunity to join our team, interested in devoting their passion for addressing some of the challenges we have identified.

The project aims at exploring the potential promise of the In-Memory Computing (IMC) concept to target the bottlenecks of AI hardware. Digital IMC is proposed to bridge the Von-Neumann performance gap for AI applications where massive data workloads are consumed. However, the conventional binary computing domain degrades the benefits of IMC due to its computational complexity. The project targets exploring different unconventional computing domains (like Stochastic and Quasi-Stochastic) for IMC. Emerging technologies, with a specific focus on RRAMs, are proposed to increase the on-chip computing memory capacity. 

The required skills are as follows: 

• Mixed-Signal IC design using Cadence Tools (mandatory). 
• Memory/SRAM design (mandatory). 
• Previous experience in Tape-outs and Chip Testing. 
• RRAMs and/or other Emerging Devices. 
• TCL and Makefile scripting. 

Further Information: 

Group website: https://cef.eng.ed.ac.uk/

The University of Edinburgh is committed to equality of opportunity for all its staff and students, and promotes a culture of inclusivity. Please see details here: https://www.ed.ac.uk/equality-diversity

Principal Supervisor: 

Professor Themis Prodromakis

Assistant Supervisor: 

Dr Shady Agwa Rizkalla

Eligibility: 

Minimum entry qualification - an Honours degree at 2:1 or above (or International equivalent) in a relevant science or engineering discipline, possibly supported by an MSc Degree. Further information on English language requirements for EU/Overseas applicants.

Funding: 

Tuition fees + stipend are available for applicants who qualify as Home applicants.

To qualify as a Home student, you must fulfil one of the following criteria:

• You are a UK student
• You are an EU student with settled/pre-settled status who also has 3 years residency in the UK/EEA/Gibraltar/Switzerland immediately before the start of your Programme. (International students not eligible.)

Further information and other funding options.

Informal Enquiries: 

t.prodromakis@ed.ac.uk

To apply, please click on the ‘Apply’ button above

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