加拿大西安大University of Western Ontario招收统计机器学习方向全奖博士

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帮老师发招生!!!!!

加拿大西安大略大学招收统计机器学习方向博士生(统计/计算机专业)

Hello, 本人是加拿大西安大略大学(University of Western Ontario, UWO现更名为Western University)计算机系和统计系的助理教授,同时也是加拿大著名的人工智能研究中心Vector Institute的associate member。现招收一名统计机器学习方向的PhD。

Requirements:
1. BA/MSc in Statistics/Computer Science or related fields
2. Strong background in mathematics, statistics, and machine learning
3. Proficiency in Python/R/Matlab
4. Good written and verbal skills in English
5. A strong publication record in top-tier conferences/journals is a big plus.

博士生将由本人 (Boyu Wang)以及Grace Yi co-supervise。我们将优先考虑统计及数学相关专业的学生,但优秀的计算机专业的学生亦可申请。关于申请详情请发送邮件至1point3acres.com(请同时附上CV及成绩单)。

关于UWO:
西安大略大学是位于加拿大安大略省伦敦市的一所世界著名学府,加拿大顶尖大学之一。长期以来,稳居加拿大top10,世界top200。学校历史悠久,是加拿大Old Four成员之一 (另外三所为麦吉尔大学,多伦多大学,以及女皇大学),并且拥有全加拿大最美丽的校园。
关于PI:
本人博士毕业于McGill University计算机系,后分别在Princeton University和University of Pennsylvania从事博士后研究,并于2019年加入UWO。近年来,我们主要的研究方向为transfer/continual/meta learning及其相关的机器学习核心问题,并将相关技术应用到实际问题中去(目前以脑科学为主)。近年来,我们的工作已经发表在NeurIPS, AISTATS, AAAI, IJCAI等顶级机器学习会议上,也有诸如Journal of Neuroscience, Journal of Neural Engineering, IEEE TNNLS, TKDE, TCYB, TSG, TBME, TNSRE, JBHI等顶级期刊。去年招收的2个PhD和1个master现在已经分别有一篇IEEE TKDE以及ICML的submission。与此同时,我们跟诸多大学(e.g., University of Pennsylvania, Princeton University, University of Toronto, McGill University, University of Tokyo)都有广泛的合作关系,在合适的条件下,会为学生提供交流访问的机会。

About Grace Yi:
Grace Y. Yi is a professor of the University of Western Ontario where she currently holds a Tier I Canada Research Chair in Data Science. She is recognized as one of the influential women in Statistics. Professor Yi's research interests focus on developing methodology to address various challenges concerning Data Science, public health, cancer research, epidemiological studies, environmental studies, and social science. Professor Yi's recent research has been centered around investigating machine learning and statistical methods to tackle problems concerning imaging data, missing data, measurement error in variables, causal inference, high dimensional data, survival data, and longitudinal data.
Professor Yi received her Ph.D. in Statistics from the University of Toronto in 2000 and then joined the University of Waterloo as a postdoctoral fellow (2000-2001), Assistant Professor (2001-2004), Associate Professor (2004-2010), Professor (2010-2019), and University Research Chair (2011-2018). Professor Yi is a Fellow of the Institute of Mathematical Statistics (IMS), a Fellow of the American Statistical Association (ASA), and an Elected Member of the International Statistical Institute (ISI). In 2010, Professor Yi received the prestigious Centre de Recherches Mathmatiques and the Statistical Society of Canada (CRM-SSC) Prize, which recognizes a statistical scientist's excellence and accomplishments in research during the first fifteen years after earning their doctorate. Professor Yi was a recipient of the University Faculty Award (2004-2009) granted by the Natural Sciences and Engineering Research Council of Canada (NSERC). Her work with Xianming Tan and Runze Li won The Canadian Journal of Statistics Award in 2016.
Professor Yi has served the professions in various capacities. She was the Editor-in-Chief of The Canadian Journal of Statistics (2016-2018) as well as the President of the Biostatistics Section of the Statistical Society of Canada in 2016, and the Founder of the first chapter (Canada Chapter, established in 2012) of International Chinese Statistical Association (ICSA).
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