博士申请 | 新西兰奥克兰大学MARS Lab招收计算机视觉/深度学习全奖博士生

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University of Auckland

奥克兰大学（Waipapa Taumata Rau | University of Auckland），简称奥大（UoA），建于1883年，位于新西兰奥克兰市，是一所享誉世界的综合研究型大学。奥克兰大学由八所学院（含法学院）及三个研究中心组成，是新西兰最重要的高等教育和学术研究机构，是环太平洋大学联盟、“一带一路”国际科学组织联盟、Universitas 21、世界大学联盟等成员。在2024QS世界大学排名中，奥克兰大学位列全球第68名、新西兰第1名。

导师简介

Yun Sing Koh is an Associate Professor at the School of Computer Science, The University of Auckland, New Zealand. Her main research area is Artificial Intelligence (AI) and Machine Learning (ML). Specifically focusing on several research strands: continual learning and adaptation, transfer learning anomaly detection, and data stream mining. Yun Sing is passionate about using machine learning for social good, and her research has been applied to interdisciplinary applications in environmental and health domains. Yun Sing has published 100+ peer-reviewed publications in top conferences and journals, including IJCAI, IEEE ICDE, IEEE ICDM, Machine Learning Journal and Journal of Artificial Intelligence. She won the New Zealand Royal Society Fast-Start Marsden funding (2018) and the United States Office of Naval Research Grant (2019). Yun Sing has been active in the research community, including serving as the General Co-Chair at the IEEE International Conference on Data Mining 2021 and Australasian Data Mining Conference 2022, Workshop Co-Chair at the ECML/PKDD conference 2021, Program Co-Chair of the Australasian Data Mining Conference 2018 and as the Workshop Co-Chair for the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining. She leads the Advanced Machine Learning and Data Analytics Research (MARS) Lab and the Director of the Centre of Machine Learning for Social Good (https://ml4sg.auckland.ac.nz/).

个人主页：

https://profiles.auckland.ac.nz/y-koh

招生简介

Advanced Machine Learning and Data Analytics Research (MARS) Lab is a research group in the School of Computer Science at the University of Auckland. The lab is developing the next generation of Machine Learning theory, algorithms, and applications. 现有2~3个博士生名额，优秀者可提供全额奖学金。入学时间灵活。

实验室网站：

https://datascience.blogs.auckland.ac.nz/

招生要求

1. 本硕有CS相关背景；

2. 具有较强的Coding能力；

3. 本硕期间有学术文章发表者优先。

申请方式

有意者可联系邮箱 [email protected] [中文]，请附简历。亦可直接联系导师 [email protected] [in English]。