Research Associate/Senior Research Associate in Computer Science/Electronic Engineering
Based in the Department of Electrical and Electronic Engineering at Bristol University, you will investigate the possibility of creating energy efficient computing systems based on CPU+GPU+FPGA hybrids.
In particular the post will focus on developing a hardware/software system in which tasks are assigned to the computing resource that minimizes overall energy requirements and/or maximizes performance.
The computing resources consider in this work will include multi-core CPUs, GPUs and FPGA devices. Predicting optimal execution resources during application execution and minimizing overheads during state transitions are key milestones required for the success of the project.
The researcher will collaborate with industrial partners that will donate the devices embedding the multi-core CPU and GPU technology that will directly interface with an FPGA device in the same board.
You will have extensive C/C++ programming expertise for multi-core CPU and GPUs and/or FPGAs. In addition, good understanding of the inner workings of the Linux OS, signal processing algorithms and machine learning (i.e. k-means, SVM, LSTM) will be beneficial. Ideally you will also be familiar with high-level synthesis tools from major FPGA vendors and have a PhD degree in Microelectronics, signal processing or related discipline.
This position is being offered on a full-time fixed term contract for 12 months.
Informal enquiries can be made to Dr Jose Nunez-Yanez, project lead (firstname.lastname@example.org).
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