Energy-Efficient Machine Learning for Mobile/Embedded Systems

这个博士生将加入新成立的国际空间计算学习中心http://spatialml.net。这是南安普顿大学（英国）、帝国理工学院伦敦（英国）、加州大学洛杉矶（美国）和多伦多大学（加拿大）以及Arm、Corerain Technologies、Imagination Technologies、Maxeler Technologies和Xilinx等公司之间的密切合作。候选人将以南安普顿为基地，但将有机会经常前往美国参加研究会议，并在加州大学洛杉矶分校或多伦多的安置期。博士将在以下一个或多个领域进行研究，与移动的/嵌入式设备上节能机器学习的硬件/软件协同设计相关：机器学习/深度学习的硬件设计机器学习/深度学习的软件/算法开发提高性能/效率的硬件/软件协同设计移动的/嵌入式系统的高效软件开发系统资源管理的运行时软件适配

This PhD student will join a newly established International Centre for Spatial Computational Learning http://spatialml.net. This is a close collaboration between the University of Southampton (UK), Imperial College London (UK), the University of California Los Angeles (USA), and the University of Toronto (Canada), as well as companies including Arm, Corerain Technologies, Imagination Technologies, Maxeler Technologies, and Xilinx. The candidate will be based in Southampton, but will have the opportunity to travel frequently to America to attend research meetings and for a placement period at either UCLA or Toronto. The PhD will undertake research in one or more of the following areas, related to hardware/software co-design for energy-efficient machine learning on mobile/embedded devices:Hardware design for machine learning/deep learningSoftware/algorithm development for machine learning/deep learningHardware/software co-design for improved performance/efficiencyEfficient software development for mobile/embedded systemsRun-time software adaptation for system resource management