奖学金最高40万港币/年，CV、ML、AI方向，港大韩锴课题组2022年博士招生启动

今天药忘吃喽~ 2022-08-28 00:47 218阅读 0赞

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转载于：机器之心

**985人工智能博士笔记推荐**

**[周志华《机器学习》手推笔记正式开源！附pdf下载链接，Github2500星！][pdf_Github2500]**

**香港大学统计系助理教授韩锴**

![5c0efb27249ec3dd31f4bcd24176bef4.png][]

**导师简介**

韩锴（Kai Han）博士即将加入香港大学统计系担任助理教授，其课题组有 2022 年入学的博士生名额、博士后和研究助理职位。

韩锴目前在 Google Research 担任 Visiting Faculty Researcher。此前，他在英国布里斯托大学担任助理教授；在牛津大学著名的 VGG 组进行博士后研究，师从 Andrew Zisserman 教授和 Andrea Vedaldi 教授。韩锴博士毕业于香港大学，师从 Kenneth Wong 教授。博士期间曾到法国国家信息与自动化研究所和巴黎高等师范学院的 WILLOW 组进行实习研究，师从 Jean Ponce 教授。

韩锴的研究兴趣主要聚焦于计算机视觉和机器学习。其研究成果发表于领域顶级学术会议（CVPR、ICCV、ECCV、NeurIPS和ICLR 等）和顶级学术期刊（TPAMI、IJCV和TIP 等）。韩锴博士长期担任这些会议和期刊审稿人，被评为 CVPR2018、CVPR2020、CVPR2021 和 ICCV2021 优秀审稿人。

个人主页：https://www.kaihan.org/

**学校简介**

香港大学（The University of Hong Kong, HKU），简称港大，是一所国际化公立研究型大学，位于香港岛中西区，成立于 1911 年。在最新 QS 世界排名和泰晤士世界排名中，分别位列第 22 位和第 30 位。

![fa140e74430e7e4c8982aea4a1fcc1cf.png][]

*图源：hku.hk*

**申请要求及待遇**

计算机、统计、数学、电子、自动化等相关专业；诚实守信，对科研有热情，做事有毅力；有扎实的编程能力和数学基础；有较强英语阅读、写作和沟通能力；有计算机视觉、机器学习、深度学习相关论文发表者加分；博士后申请者须有发表于相关领域顶会和顶刊的研究成果。

博士生奖学金 21 万港币每年起（特别优秀者可申请港府奖学金或校长奖学金，最高可达 40 万港币每年）；博士后申请者将根据其背景提供具有竞争力的待遇。

**联系方式**

欢迎感兴趣的同学邮件联系：kaihanx@hku.hk

请在邮件标题注明申请职位，并在邮件中附上简历。

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我是[王博Kings][Kings]，985AI博士，华为云专家、CSDN博客专家（人工智能领域优质作者）。单个AI开源项目现在已经获得了2100+标星。现在在做AI相关内容，欢迎一起交流学习、生活各方面的问题，一起加油进步！

我们微信交流群涵盖以下方向（但并不局限于以下内容）：人工智能，计算机视觉，自然语言处理，目标检测，语义分割，自动驾驶，GAN，强化学习，SLAM，人脸检测，最新算法，最新论文，OpenCV，TensorFlow，PyTorch，开源框架，学习方法...

这是我的私人微信，位置有限，一起进步！

**![a3ad7c7f44189e436df522a2462a4298.png][]**

**王博的公众号，欢迎关注，干货多多**

**手推笔记：**

**增长见识：**

**其他学习笔记：**

![e656d33e27b50f286d2d2924ab6c3ec0.gif][]

**点分享**

![d3f980df401a1b8288a8566f8617dd91.gif][]

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**点点赞**

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**点在看**

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[fa140e74430e7e4c8982aea4a1fcc1cf.png]: /images/20220828/368da4f197a5450d8c77beaae69ae8ea.png
[Kings]: https://blog.csdn.net/Sophia_11/article/details/114274846
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[Top2_2021_ _]: http://mp.weixin.qq.com/s?__biz=MzU2NTc5MjIwOA==&mid=2247505138&idx=1&sn=ef6102d36f7aa7191982c6b6eddb9872&chksm=fcb4c84dcbc3415be45e48c522029fb90f1c395278708f38c6d9b68d2aadaa0afff68b3ff607&scene=21#wechat_redirect
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[_ _ _]: http://mp.weixin.qq.com/s?__biz=MzU2NTc5MjIwOA==&mid=2247498631&idx=2&sn=7a91e5850ec4885a4d7028b925e6f2d2&chksm=fcb4e738cbc36e2e8ed92fcc6acbf5024ee73d4f5b2e05bcd2c31333fad86d6d4638b06fef6f&scene=21#wechat_redirect
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[PyTorch_Tensor]: http://mp.weixin.qq.com/s?__biz=MzU2NTc5MjIwOA==&mid=2247504061&idx=1&sn=207d2bd4895e0b4e303c3d9d63511c72&chksm=fcb4cc02cbc3451449159333c651688e7d71c7a744a4e4e0d914fb14adb5ad4f7e122eff7e18&scene=21#wechat_redirect
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[Transformer _]: http://mp.weixin.qq.com/s?__biz=MzU2NTc5MjIwOA==&mid=2247502134&idx=1&sn=ed4a262db0be219feb017c08f2185779&chksm=fcb4d589cbc35c9f0156ac454dccb82a501f4b8129adbbcf94a3ca83d3af129f4ebadf173e75&scene=21#wechat_redirect
[Scaled-YOLOv4_ _]: http://mp.weixin.qq.com/s?__biz=MzU2NTc5MjIwOA==&mid=2247500056&idx=2&sn=95a04371dc0b49e8c862b03a88edbb8c&chksm=fcb4dda7cbc354b14c4cd4f63eadf02680112ee21015fe372cf3055f9b577b7dd989843eda1f&scene=21#wechat_redirect
[PyTorch_ _]: http://mp.weixin.qq.com/s?__biz=MzU2NTc5MjIwOA==&mid=2247497349&idx=3&sn=b4b1ea0af5d42c817bc776cab0a8ac28&chksm=fcb4ea3acbc3632cd61c21d40df0c8cd9e84603fcbe551ceea721e4d8c43959a3c74e929a0fe&scene=21#wechat_redirect
[PyTorch_ _ 1]: http://mp.weixin.qq.com/s?__biz=MzU2NTc5MjIwOA==&mid=2247497036&idx=2&sn=552069978cf317b9581b4c9a62a003e2&chksm=fcb4e9f3cbc360e51de7a7ceb3a6adde123e488d98a3baf4204270311ef609fa5510682ff29b&scene=21#wechat_redirect
[Numpy]: https://blog.csdn.net/dafeidouzi/article/details/100520906
[10]: https://blog.csdn.net/lvsehaiyang1993/article/details/80342473
[CVPR 2020]: https://blog.csdn.net/u013685264/article/details/104984809
[Link 27]: https://blog.csdn.net/fengdu78/article/details/107308594
[YOLOv4]: https://blog.csdn.net/fengdu78/article/details/106450074
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