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Fully-funded PhD Studentship in Massively-Parallel Processor Design for Machine Vision


Project Description

Applications are invited for a PhD studentship in the field of novel processor design. The work will be carried out in the Microelectronics Design Laboratory, under the guidance of Professor Piotr Dudek.

The project will involve architecture exploration, modelling, design and implementation of a massively parallel processor array intended to accelerate machine vision applications. The investigations will focus on fine-grained arrays of relatively simple processing elements, and address the needs of neuromorphic, event-based computation schemes. Objectives of the project are to analyse a broad class of application requirements, propose suitable architectures, evaluate their performance on a system level, and carry out exploratory designs. Prototype processor implementations will be build using FPGAs and scoping studies will be carried out to investigate the implementation of the processors as custom VLSI circuits. The project is done in collaboration with an industrial partner. The student will be expected to liaise with the engineers at the collaborating company, and occasionally travel to project meetings at their premises, as well as international conferences and training workshops.

The candidates should have a first class honours degree (or equivalent) in electronics, computer science, or similar. Masters-level degree in a field related to computer engineering, and/or relevant industrial experience, is an advantage. The suitable applicants will have a strong interest in computer architecture, microprocessor design, digital circuits, and enthusiasm for both software and hardware developments.

Funding Notes

The studentship is fully-funded (covering fees and a bursary of £15,000 per year) and opened to applicants of any nationality. The duration of this PhD project is 3.5 years plus 6 months of thesis writing-up period.

References

For further details please contact Professor Piotr Dudek ([email protected]).

Interested applicants should send an up-to-date CV to Ms Marie Davies at [email protected] with a cover letter explaining their interest and suitability for this research. The project can start as soon as possible depending on admissions cycles and the availability of the most suitable candidates.

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