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Ph.D. Openings @ University of Illinois Urbana-Champaign (UIUC)
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实验室简介及招生信息： Social Sensing & Intelligence Lab是由Dong Wang教授领导的以社交感知及人工智能的交叉领域为研究重点的实验室，其主要研究方向包括： (1) human-centered AI and AI for social good; (2) trustworthy AI, XAI, and responsible machine learning; (3) social media, big data analytics, and misinformation detection; (4) crowdsourcing and crowdsensing, human-AI collective intelligence; (5) human-cyber-physical systems, smart cities, IoT; (6) privacy, robustness, and FATE (fairness, accountability, transparency, ethics)。实验室主要科研成果发表于AAAI, IJCAI, Web Conference (WWW), ACL, INFOCOM, RecSys, CIKM, CSCW, HCOMP, ICWSM, IWQoS, IPSN, IEEE TCSS, TBD, TIST, IoT Journal, Elsevier KBS 等顶级学术会议及期刊。导师及实验室具体信息请见：https://www.wangdong.org/ 实验室正在招收有兴趣在2024年秋季入学的博士生。实验室配备独立办公空间以及企业级高性能cpu，gpu计算集群。导师旨在培养最优秀的博士生并会为学生提供定制化的学业指导以及职业规划，博士生毕业后可进入研究型大学任教或进入业界领先的企业或实验室工作。 伊利诺伊大学信息科学学院(https://ischool.illinois.edu/)信息科学专业自1996年以来一直稳居世界排名首位。学院将为博士生提供5年全额奖学金。 申请条件： 1. 已经或即将取得学士或硕士学位，专业包括但不限于计算机科学、信息科学、数据科学，软件工程等专业； 2. 具有刻苦钻研，持之以恒的科研精神，积极创新的科研热情， 对科学探索有较高的好奇心和求知欲； 3. 熟练掌握至少一种常用编程语言，具备良好的编程习惯； 4. 良好的性格，较强的沟通能力和团队协作能力； 5. 具有一定科研经验，在人工智能、机器学习、计算机系统与网络、社会计算，数据挖掘等相关领域的学术会议或者期刊发表过论文为加分项； 联系方式： 感兴趣的同学请发送自我介绍及简历cv到邮箱 dwang24@illinois.edu，邮件标题写明“Prospective Ph.D. Student for 2024”。请在邮件中介绍个人研究兴趣及经历，并清晰阐述个人研究经历和Social Sensing & Intelligence Lab主要研究方向的匹配程度及原因。此外，可以在邮件中简单提及自己的工作风格和职业规划。 申请截止日期： - 信息科学专业 Information Sciences Ph.D.: 2023年12月1日（研究生院fellowship申请截止日期为2023年10月20日），具体申请要求请见：https://ischool.illinois.edu/deg ... tion-sciences/apply - 信息学专业 Informatics Ph.D.: 2023年12月1日，具体申请要求请见：https://informatics.ischool.illinois.edu/phd-admission/ openings: The Social Sensing & Intelligence (SSI) Lab at the School of Information Sciences (iSchool) at the University of Illinois (https://ischool.illinois.edu) has multiple openings for Ph.D. students to work under the guidance of Dr. Dong Wang (https://www.wangdong.org) from Fall 2024 (for Information Sciences and Informatics Ph.D. applicants). Prospective students with an M.S. or B.S. degree (or expected by the time of admission) in computer science, information science, data science, software engineering, or related fields are encouraged to apply. Successful candidates will have the opportunity to work on exciting research projects in emerging areas of Social Sensing & Intelligence. Example topics include: - human-centered AI and AI for social good; - trustworthy AI, XAI, and responsible machine learning; - social media, big data analytics, and misinformation detection; - crowdsourcing and crowdsensing, human-AI collective intelligence; - human-cyber-physical systems, smart cities, IoT; - privacy, robustness, and FATE (fairness, accountability, transparency, ethics). Preferred candidates should have a strong background in AI/data analytics/machine learning/social computing/system and networking/statistics/estimation theory and/or solid system implementation and development skills. Preferred candidates are also expected to be self-motivated and have good communication skills. Previous research experience and/or publications in relevant fields will be a plus. The Social Sensing & Intelligence lab has state-of-the-art computing facilities to support research. Our works are published in top AI/machine learning and systems venues such as AAAI, IJCAI, Web Conference (WWW), ACL, INFOCOM, RecSys, CIKM, CSCW, HCOMP, ICWSM, IWQoS, IPSN, IEEE TCSS, TBD, TIST, IoT Journal, Elsevier KBS, etc. The lab also has a very collaborative working environment and provides individualized mentorships and tailored career plans (including both academia and industry-oriented career paths, and industry/national lab internship opportunities) for students in the lab. Examples of recently graduated ph.d. students from the lab can be found at: https://www.wangdong.org/sslab/team.html The iSchool's flexible program prepares students with the intellectual guidance and experiences necessary for vibrant research careers in a wide range of academic, business, and public sector settings. The iSchool at UIUC has been the #1 ranked graduate program in information sciences since 1996. If you are interested, please send your CV (including GPA, GRE, and TOEFL scores as applicable), transcripts, publications, and other relevant information to Dr. wang at dwang24@illinois.edu with the title of “Prospective Ph.D. Student for 2024”. In your email, please clearly explain your research interest/expertise and justify how it aligns with the main topics and directions in SSI Lab. It will also be helpful to mention your career goal and working style/philosophy. Accepted students are guaranteed funding for five academic years to explore their dedicated areas of research. The application deadline for Information Sciences Ph.D. in Fall 2024 (for early consideration for a graduate college fellowship) is October 20, 2023, and the final application deadline is December 1, 2023. The application can be found at https://ischool.illinois.edu/deg ... tion-sciences/apply. The application deadline for Informatics Ph.D. in Fall 2024 is Dec. 1, 2023. The application can be found at https://informatics.ischool.illinois.edu/phd-admission/. |
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2楼2023-09-21 04:51:13
