博士申请 | 爱丁堡大学何凤翔老师招收机器学习方向全奖博士/实习生/访问学生
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爱丁堡大学
The University of Edinburgh is constantly ranked among the world’s top universities and is a highly international environment with several centres of excellence.The School of Informatics is one of the largest in Europe and currently the top Informatics institute in the UK for research power. The School is exceptionally strong in the area of AI and Theoretical Computer Science, hosting one of the largest groups for AI and Foundations of Computer Science in the world. The successful applicant will be part of the Artificial Intelligence and its Applications Institute and will have the opportunity to interact with the other members of the group and more widely within the School of Informatics.导师简介
Dr Fengxiang He is a Lecturer at Artificial Intelligence and its Applications Institute, School of Informatics, University of Edinburgh, and an Affiliate of Edinburgh's Institute for Adaptive and Neural Computation, Edinburgh Future Institute, and Edinburgh Centre for Financial Innovations. He received his BSc in statistics from the University of Science and Technology of China, MPhil and PhD in computer science from the University of Sydney. His research interest is in trustworthy AI, particularly deep learning theory and explainability, theory of decentralised learning, privacy in machine learning, symmetry in machine learning, learning theory in game-theoretical problems, and their applications in economics. He is an Area Chair of ICML, NeurIPS, UAI, AISTATS, and ACML, and an Associate Editor of IEEE Transactions on Technology and Society.
导师主页：
https://fengxianghe.github.io/
招生信息
Fully funded, full-time PhD positions to work in the field of machine learning, with emphasis on deep learning theory, privacy in machine learning, theory of decentralised learning, symmetry in machine learning, and learning theory in economics, with Dr Fengxiang He at the Artificial Intelligence and its Applications Institute, School of Informatics, University of Edinburgh.
招生要求
1. A good Bachelor’s degree (First Class Honours or international equivalent) and/or Master’s degree in a relevant subject (mathematics, statistics, economics, or related subject).
2. A strong mathematical background, with an emphasis on analysis, algebra, geometry, differential equation, probability, and statistics. Recipients of mathematics competition medals are highly desirable.
3. Proficiency in English (both oral and written).
4. Relevant research experiences in machine learning, statistics, etc. are desirable but not necessary.
5. Programming skills in Python, PyTorch, TensorFlow, etc. are a plus but not necessary.
申请方式
Applicants are highly encouraged to contact Dr Fengxiang He (F.He@ed.ac.uk) to discuss your case. Visiting Scholar/Intern positions are also possible. Please contact Dr He if you are interested.
实习内推
小红书｜快手大模型中心｜VIVO影像算法研究部｜小红书智能创作团队｜京东零售九数算法中台｜Infinity Ground｜OPPO AI中心大模型算法部｜上海期智研究院｜抖音搜索生活服务团队｜腾讯混元AIGC团队｜亚马逊上海人工智能研究院｜商汤研究院基础语言模型团队｜得物App｜阿里安全语言语音算法团队｜腾讯游戏AI大语言模型团队｜北大—百川联合实验室｜Shopee Video团队｜地平线｜美团商业增值技术部｜搜狐畅游AI中心｜蚂蚁智能引擎事业部｜抖音电商平台治理算法团队｜腾讯音乐天琴实验室｜壹点灵心理服务平台｜Liblib AI｜VIVO影像算法研究部｜卓驭科技算法团队｜百度视觉技术部
高校招生
新加坡科技设计大学段凌杰教授｜南洋理工大学Wei Dong老师｜德州大学达拉斯分校陈至玉老师｜香港科技大学（广州）许人镜老师｜北卡罗来纳大学教堂山分校丁明宇老师｜华南理工大学马宏军教授｜香港城市大学（东莞）黄志安老师｜南京大学PCA Lab｜康考迪亚大学张耕瑞老师｜布里斯托大学视觉信息实验室｜清华大学信息国家研究中心｜伦敦国王学院杜雅丽教授｜香港大学俞益洲教授｜香港科技大学韩俊老师｜中关村实验室陈力副研究员｜香港科技大学韩俊老师｜北京大学崔斌教授｜西北大学Manling Li老师｜西湖大学LINs Lab｜浙江大学王海帅老师｜普渡大学苗旭鹏老师｜大湾区大学孙庆强老师｜北京大学黄松芳老师｜澳门大学郑哲东教授
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