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应助: 0 (幼儿园)
金币: 35
帖子: 2
在线: 1.5小时
虫号: 36728361

[交流] 招统计机器学习理论硕士及博士生｜南京大学人工智能学院

南京大学人工智能学院自适应非参数推断与机器学习课题组招2027硕士研究生6名，博士生1名，研究方向：统计与机器学习理论。导师Henry Reeve现任南京大学人工智能学院副教授，并兼任英国布里斯托大学统计科学荣誉高级讲师。

课题组聚焦统计学与机器学习的交叉研究，致力于开展具有坚实理论基础的前沿研究工作，研究成果目标发表于机器学习顶级会议（如 ICML、NeurIPS等）以及统计学顶级期刊（如 Annals of Statistics、JRSS-B等）

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我们的研究方向（包括但不限于）
• 自适应非参数推断（Adaptive non-parametric inference）
• 迁移学习（Transfer learning）
• 子群体发现（Subgroup discovery）
• 压缩学习（Compressive learning）
• 含噪标签分类（Classification with label noise）
• 结构化预测（Structured prediction）
• 多臂老虎机问题（Multi-armed bandits）

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我们的申请要求
• 具备扎实的数学基础
• 对科研有浓厚兴趣，具备良好的探索精神
• 具备一定编程能力者优先（非硬性要求）

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我们关于英语能力的说明

课题组为国际化科研环境，日常学术交流以英语为主。但在申请阶段，不要求申请者具备非常流利的英语水平。
我们更看重的是申请者的数学基础、逻辑思维能力以及科研潜力。在实际培养过程中，大部分学生的学术英语能力都会得到显著提升。
只要具备基本的英文文献阅读能力，并愿意积极沟通与学习，即可顺利参与科研工作。

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申请方式

有意申请者请将以下材料发送至指定邮箱：
• 个人简历（CV）
• 本科/硕士成绩单
• 个人陈述（Motivation Letter）

联系邮箱：henrywjreeve@icloud.com
henrywjreeve@nju.edu.cn

欢迎各位同学通过邮件进行咨询交流！

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I am recruiting six MSc students and a PhD student to join my research group - Adaptive Non-parametric Inference and Machine Learning at the School of Artificial Intelligence, Nanjing University. I am currently an Associate Professor in Artificial Intelligence and an Honorary Senior Lecturer in Statistical Science at the University of Bristol(UK).

My research lies at the intersection of Statistics and Machine Learning, with the aim of producing theoretically grounded work that is publishable in both leading machine learning conferences (e.g., ICML, NeurIPS) and top-tier statistics journals (e.g., Annals of Statistics, JRSS-B).

Research Interests

My group is broadly interested in Statistics, Machine Learning, and their interface, with a particular focus on:
• Adaptive non-parametric inference
• Transfer learning
• Subgroup discovery
• Compressive learning
• Classification with label noise
• Structured prediction
• Multi-armed bandits

Requirements
• A solid mathematical ability
• Strong enthusiasm and curiosity for research
• Good coding skills are helpful but not strictly required

Note on Language

Our research environment is international, and English is used for academic communication. However, applicants are not expected to have perfect English at the time of application.

We place much greater emphasis on your mathematical background, problem-solving ability, and research potential. Many students significantly improve their academic English during their studies.

If you are able to read technical materials and are willing to communicate and learn, you are strongly encouraged to apply.
Please do not hesitate to apply due to a lack of confidence in your English — we value potential and motivation above all.

Application Materials

If you are interested, please send the following materials:
• CV
• Academic transcript
• Motivation letter

Email to: henrywjreeve@icloud.com
henrywjreeve@nju.edu.cn

Informal inquiries are welcome!

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