AI职位招聘：巴斯大学招多尺度机器学习博后-University of Bath

Posted 2021-04-27 猿人AI

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职位概览

职位名称：Research Associate in Multiscale Machine Learning at the Edge

职位数量：1

院系：Department of Mathematical Sciences

申请截至日期：2021年1月31日

年薪：£33,797 to £40,322

职位性质：Fixed term contract

学校简介

巴斯大学（University of Bath），位于英国英格兰埃文郡巴斯，是一所以科研为导向的著名公立研究型大学。现任校监位英国女王伊丽莎白二世的三子-爱德华王子，威塞克斯伯爵。

巴斯大学拥有全球领先的教学质量和科研成果，多次位列全英前十名的英国公立研究型大学。在2020完全大学指南大学排名中居全英第9位，2020卫报大学排名全英第6位。在2021QS世界大学排名第173位，2020THE泰晤士世界大学排名201-250位，2020软科世界大学学术排名301-400位。

目前，由英国研究与创新署斥资1亿英镑建立的人工智能博士培训中心（UKRI）中的“UKRI负责任，负责任和透明AI的博士培训中心”在巴斯建立。

项目介绍

We invite applications for a Research Associate on the EPSRC-funded project "Multiscale Machine Learning At the Edge", led by Dr. Matthew Nunes.

Machine learning has opened up exciting avenues of research in technology, computer science and mathematics. Learning is commonly performed with cloud-based computing, in which processing is performed centrally before updating individual contributing devices. However, this costs a lot of time and energy in data transfer, and with potential data security risks. With more tasks being required on personal devices, there is a need to devise new machine learning algorithms suitable for such settings.

On this exciting project you will undertake, under the guidance of Dr. Nunes, cutting-edge research to develop new methodology to tackle machine learning challenges under resource constraints. The aim will be to combine novel statistical signal processing methods with state-of-the-art learning techniques to drive algorithm efficiency. Methodological challenges will centre around tailoring learning methods to different data types and ensuring robustness in the face of data dropout due to sensor failure. We will focus on applications common on 'edge' devices, such as activity monitors and low-powered tablets. You will be expected to disseminate the results in leading academic journals and conferences.

项目要求

You are expected to hold, or be about to receive, a PhD degree in statistics, signal processing, machine learning or a related discipline. A specialism in developing novel computational or theoretical contributions is essential. Expertise in frequency-domain or wavelet-based techniques is highly desirable. Programming experience in R, Python or equivalent languages is also required. You will be expected to learn quickly, engage with new ideas, and contribute new insights.

具体要求请点击以下链接：

https://www.bath.ac.uk/jobs/Vacancy.aspx?ref=CC8003

申请方式

网申链接：

https://www.bath.ac.uk/jobs/Logon/?jobId=17611

For further information and an informal discussion about the role please contact Dr. Matthew Nunes ([e-mail]).

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