FPGA acceleration of computationally-intensive algorithms

   Department of Automatic Control and Systems Engineering

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  Prof D Coca  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

The reconfigurable computing paradigm, which exploits the flexibility and versatility of Field Programmable Gate Arrays (FPGA’s), has emerged as a powerful solution for speeding up time-critical algorithms.

This project will focus on the development of high-performance FPGA-based bioinformatics solutions for proteomics (protein identification and quantitation) and genomics (next-generation sequencing) or the development of FPGA solutions for real-time sensing, optimization and model based control.

Computer Science (8) Engineering (12)

Funding Notes

This is a self-funded research project.
We require applicants to have either an undergraduate honours degree (1st) or MSc (Merit or Distinction) in a relevant science or engineering subject from a reputable institution. Prospective candidates for this project should have either an undergraduate honours degree (2:1) or MSc (Merit or Distinction) in Electrical and Electronic or Control and strong VHDL/Verilog, C and Matlab skills.
Full details of how to apply can be found here:
Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive: https://www.sheffield.ac.uk/postgraduate/phd/scholarships

Where will I study?

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