|Funding for:||UK Students, EU Students|
|Placed On:||13th May 2021|
|Closes:||31st August 2021|
Supervisory Team: Dr Shady Agwa, Prof Themis Prodromakis
This PhD studentship aims at using and developing the stochastic computing principles in collaboration with the emerging technology devices (like ReRAM, STT, etc) to sustain the increasing performance demands of the data-intensive AI applications. While merging the high capacity and non-volatility of the emerging devices with the emerging in-memory computing architectures can hopefully mitigate the memory bottleneck of the Von Neumann architectures, the stochastic computing is proposed to extremely reduce the computation complexity/cost of the conventional binary system. The different challenges of the stochastic computing will be addressed through the potential promise of both emerging devices and architectures.
We welcome applications from candidates with a background in electronics, IC design and computer architecture. Specific areas of interest include: energy efficient IC design, stochastic computing, in-memory computing and AI applications.
The PhD student will have the opportunity to join a multi-disciplinary team and to be trained and work in the world-class facilities of the Zepler Institute for Photonics and Nanoelectronics. The Centre for Electronics Frontiers will provide research experience in one of its programmes, training, laboratory facilities and access to its seminars and lectures. Students would also be encouraged to attend major conferences during their period of study and would have access to all university facilities for wider study, including the libraries, and recreation spaces.
If you wish to discuss any details of the project informally, please contact Dr Shady Agwa, Centre for Electronics Frontiers, Email: firstname.lastname@example.org, Tel: +447950676030.
A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent) or an MEng/MSc (or equivalent, or near completion) with first class honours or distinction in Computer Engineering, Electronics Engineering or a closely related subject.
Closing date: applications should be received no later than 31 August 2021 for standard admissions, but later applications may be considered depending on the funds remaining in place.
Funding: For UK students, Tuition Fees and a stipend of £15,609 tax-free per annum for up to 3.5 years.
How To Apply
Applications should be made online. Select programme type (Research), 2021/22, Faculty of Physical Sciences and Engineering, next page select “PhD Nanoelectronics (Full time)”.
Applications should include:
Two reference letters
Degree Transcripts to date
For further information please contact: email@example.com
Type / Role: