返回信息流指导老师: Fang Yuan,助理教授,新加坡管理大学计算机与信息系统学院
电子邮件: yfang "at" smu.edu.sg
网站: https://www.yfang.site/
申请方式:请通过电邮发送简历和成绩单
我们正在招聘2024年8月入学的博士生,主要研究方向为数据挖掘和机器学习,特别关注图神经网络、推荐系统、知识图谱以及社交/网络数据分析。
为什么选择新加坡管理大学(SMU)?
1. 我们为博士生提供全额奖学金,包括学费和每月津贴。津贴金额免税,在通过博士资格考试后达3200新加坡元,若获得校长奖学金则为3750新加坡元。另外还将提供额外的会议差旅支持。
2. 通过与团队的研究旅程,您将有很好的自我发展机会,并有机会在顶级会议和期刊上发表高质量的论文。我们的团队每年都在KDD、WWW、SIGIR、AAAI、TKDE、NeurIPS等发表多篇论文。
3. 新加坡管理大学在CSRankings的泛AI类别中全球排名第40(亚洲第16),在整体计算机学科中全球排名第84(亚洲第15);在2022年QS学科排名(计算机科学和信息系统)中全球排名第104。
博士生要求:
1. 在知名大学获得/将获得计算机科学或相关领域的学士或硕士学位
2. 优异的学术表现,具有扎实的计算和其他STEM科目基础
3. 在数据挖掘和机器学习方面有研究经验或发表论文者优先
4. 需要有强大的编程/实施能力;有深度学习技术栈的工作知识者优先
5. 对探索未知事物有浓厚的学术好奇心
6. 良好的英文沟通和团队协作能力
Supervisor: Fang Yuan, Assistant Professor, School of Computing and Information Systems, Singapore Management University
Email: yfang "at" smu.edu.sg
Website: https://www.yfang.site/
To apply: email me your CV and academic transcripts.
We are actively hiring a PhD student in the broad areas of data mining and machine learning, with an emphasis on graph neural networks, recommendation systems, knowledge graphs and social/web data analysis.
Why SMU?
1. We offer full scholarships to PhD students covering tuition fees and monthly stipends。 The monthly stipend includes a tax-free amount of 3200 SGD after qualifying exam, or 3750 SGD if awarded Presidential Doctoral Fellowship. Additional conference travel support will be provided too.
2. Through the research journey with the team, you will have a great opportunity for self-development and generating high-quality publications at top-tier conferences and journals. Our team has published extensively and consistently in top venues such as KDD, WWW, SIGIR, AAAI, TKDE, NeurIPS and more.
3. Overall, SMU is ranked No. 40 globally (No. 16 in Asia) in the broad AI category and No. 84 globally (No. 15 in Asia) in the overall CS discipline according to CSRankings; No. 104 globally in QS 2022 Subject Ranking (Computer Science and Information Systems);
Requirements for PhD Student
1. Obtained/expected to obtain Bachelor or master's degree in Computer Science or related fields at a reputable university
2. Excellent academic performance with strong foundation in computing and other STEM subjects
3. Prior research experience or publications in data mining and machine learning a strong plus
4. Strong programming/implementation skills required; working knowledge of deep learning stack a plus
5. Intellectual curiosity to explore the unknown
6. Good communication and teamwork skills
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【招生】新加坡管理大学招聘2024年8月入学的博士生
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2023/10/16镜像同步0 回复
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