Why RMIT? - 做世界级的科研, 同时在连续四年荣获全球最宜居城市的墨尔本 Enjoy Your Life! - 独一无二的地理位置 : 墨尔本市中心,300 米对接唐人街享尽美食, 便利的交

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1 RMIT University ( 澳大利亚皇家墨尔本理工大学 ) 信息检索研究组招收博士生科研方向信息检索 ( 关键字搜索 ), 存储, 数据分析奖学金申请奖学金 :$25000~30000/ 年最近一轮申请截止日期 :2015 年 10 月 31 号面向学生群体 (1) 申请 RMIT 奖学金 :2016 年 9 月前毕业的研究生 / 本科生 ( 或之前 ) 基本要求 : 对信息存储, 搜索, 分析有兴趣 ; 有一定科研经历或者在 ACM Programming Contest 等编程竞赛中有优秀表现 (2) 通过导师面试直接提供奖学金 :2016 年 9 月前毕业的研究生 / 本科生 ( 或之前 ) 基本要求 : 有 2 篇或以上 SCI/EI 索引的科研论文发表 ( 期刊优先考虑 ), 或者在 ACM Programming Contest 有卓越表现 (3)CSC 奖学金申请者经过初步考核达到导师要求, 可以提供 invitation letter 用于其申请 CSC 奖学金学费全免! 申请和入学时间灵活培养模式 : 同国内合作大学联合培养 1-4 年, 或全职在 RMIT 攻读博士学位申请流程有意向者请联系鲍老师咨询具体情况统一联络人 :Dr. Zhifeng Bao (zhifeng.bao@rmit.edu.au) 申请邮件请附上 : 简历, 成绩单, 发表论文, 或是编程竞赛参与 / 获奖记录两位导师的名字 ( 意向跟随读博的导师名字 ) 雅思 / 托福 : 需要有参加过雅思 / 托福考试的证明, 或是已经安排雅思 / 托福考试时间的说明 RMIT IELTS:overall 6.5, no band less than 6.

:2016 年 9 月前毕业的研究生 / 本科生 ( 或之前 ) 基本要求 : 有 2 篇或以上 SCI/EI 索引的科研论文发表 ( 期刊优先考虑 ), 或者在 ACM Programming Contest 有卓越表现 (3)CSC 奖学金申请者经过初步考核达到导师要求, 可以提供

2 Why RMIT? - 做世界级的科研, 同时在连续四年荣获全球最宜居城市的墨尔本 Enjoy Your Life! - 独一无二的地理位置 : 墨尔本市中心,300 米对接唐人街享尽美食, 便利的交通 ( 免费电车, 下楼地铁站 ), 学校周边公园无数,100 米对接各大购物中心! 信息检索研究组简介 (Information Storage, Analysis and Retrieval Group) 排名澳洲排名 :rank-1; 亚太排名 :rank-2; 国际排名 :rank-12 以上排名根据 Microsoft Academic Search 对论文发表数量, 引用次数等指标综合评定团队成员 Leader: Professor Mark Sanderson ( 计算机学院副院长, 主管科研 ;RMIT-NICTA 数据分析联合实验室主任 ) 特聘研究员 (Distinguished Research Fellow): Professor Bruce Croft Team Member: Dr. Zhifeng Bao Dr. Shane Culpepper Associate Prof. Lawrence Cavedon Dr. Falk Scholer Associate Prof. James Thom Dr. Sandra Uitdenbogerd Associate Prof. Jenny Xiuzhen Zhang RMIT 的 Information Storage, Analysis and Retrieval (ISAR) Group 长期活跃在信息检索顶级会议 ACM SIGIR, ACM CIKM 以及顶级期刊 ACM Transactions on Information System (TOIS), 其研究领域涵盖搜索结果的评价体系 (evaluation), 搜索算法的 efficiency 和 scalability, 文本挖掘, 异构数据的搜索和查询, 可视化和互动式搜索, 探索式查询, 等方面自 2011 年起,RMIT 聘请信息检索全球领军人物 (H-index: 92),Bruce Croft 教授为 RMIT 特聘杰出研究员在 Sanderson 教授和 Croft 教授的带领下, 团队在过去五年获得超过三百万澳币科研经费, 其中包括澳洲国家自然科学基金 (Australian Research Council Discovery Project), 高校企业联合科研基金 (Australian Research Council Linkage Project), Google Faculty Research Award, Microsoft Faculty Research Award 等国内国际科研经费目前信息检索研究组拥有 5 名博士后,25+ 博士研究生,9

信息检索研究组简介 (Information Storage, Analysis and Retrieval Group) 排名澳洲排名 :rank-1; 亚太排名 :rank-2; 国际排名 :rank-12 以上排名根据 Microsoft Academic Search 对论文发表数量, 引用次数等指标综合评定

3 faculty 成员, 同全球顶级信息检索研究组如 UMASS, UMELB, 一直保持密切合作

4 导师介绍 Leader: Professor, Mark Sanderson Deputy Head (Research), School of CSIT, RMIT University Co-Director of RMIT-NICTA Data Analytics Lab Leader of the RMIT Information Retrieval Group Sanderson 在信息检索会议 ACM SIGIR 上发表了大量论文按照 ACM 数字图书馆的统计,Sanderson 进入该会议发表论文数量排行榜的前十名过去的十年中 Sanderson 是 15 个资助项目的首席研究员获得资助的项目总计超过 $2000 万澳币 Sanderson 曾任 ACM SIGIR 2004 大会主席,SIGIR 联席主席, 信息处理管理和网络事务处理杂志副主编, 以及在信息检索期刊 ACM TOIS,JASIST,IP&M 担任编委个人主页 : H-index: 39 DBLP entry: Google Scholar Entry: Sanderson published extensively in the premier information retrieval conference ACM SIGIR. According to statistics on the ACM's Digital Library, Sanderson is in the top 10 of most published authors at this conference. For the last 10 years Sanderson was principal investigator/coordinator (PI) or coinvestigator of 15 funded research projects. At current exchange rates, the grants provided (AUD) $4.5 million for Sheffield University. Many of Sanderson's grants were large consortia grants, the total value of those where Sanderson led or wrote 50% of the proposal was $6.6 million. The total value of grants is over $20 million. Sanderson was general chair of ACM SIGIR 2004, co-pc chair of SIGIR in 2009 and Sanderson is associate editor of Information Processing and Management and Transactions on the Web. In the past he was on the editorial board of the Journal of Information and Retrieval, ACM TOIS, JASIST, IP&M. He is on the advisory board of the US government funded information retrieval evaluation exercise, TREC. This is an annual IR evaluation meeting, run by National Institute of Standards and Technology in the US. 特聘杰出研究员 (Distinguished Research Fellow) Professor Bruce Croft, ACM Fellow W. Bruce Croft 是 RMIT 的特聘教授,ACM Fellow, 并在麻省大学的信息和计算机科学学院担任代院长 1992 年, 创立了智能信息检索中心 (CIIR), 致力于将基础研究与技术结合, 并应用在与政府和工业伙伴的广泛合作中 Croft 博士于在该部门担任主席 Bruce 为信息检索畅销教科书 Search Engines: Information Retrieval in Practice 的作者 1974 年获得学士学位,1975 年在澳大利亚墨尔本的莫纳什大学获得

Sanderson 曾任 ACM SIGIR 2004 大会主席,SIGIR 2009 2012 联席主席, 信息处理管理和网络事务处理杂志副主编, 以及在信息检索期刊 ACM TOIS,JASIST,IP&M 担任编委个人主页 :http://marksanderson.

5 计算机科学硕士学位 1979 年于英国剑桥大学获得了计算机博士学位研究方向涵盖了信息检索的许多领域, 包括检索的模型和表示, 网络搜索, 查询处理, 交叉语言检索和搜索架构等他在这些领域中发表了 250 多篇学术论文, 服务过众多项目委员会, 也参与了许多知名研讨会和会议的组织工作 Citations: ; H-index: 92; 发表论文 270+ DBLP: Google Scholar: 个人主页 : W. Bruce Croft is a Distinguished Professor and Interim Dean in the College of Information and Computer Sciences at the University of Massachusetts, Amherst, which he joined in In 1992, he founded the Center for Intelligent Information Retrieval (CIIR), which combines basic research with technology transfer to a variety of government and industry partners. Dr. Croft was Chair of the then-department from He is the author of a popular IR book Search Engines: Information Retrieval in Practice. He received the B.Sc. (Honors) degree in 1974, and an M.Sc. in Computer Science in 1975 from Monash University in Melbourne, Australia. His Ph.D. in Computer Science was from the University of Cambridge, England in His research interests are in many areas of information retrieval, including retrieval models, representation, Web search, query processing, crosslingual retrieval, and search architectures. He has published more than 250 articles on these and other subjects, has served on numerous program committees, and has been involved in the organization of many workshops and conferences. Faculty Team Members: 1. Dr. Zhifeng Bao 鲍芝峰博士现就职于澳大利亚 RMIT University 计算机学院任助理教授, 同时为 RMIT-NICTA (National ICT of Australia) Data Analytics Lab 的 faculty 成员毕业于新加坡国立大学数据库组, 新加坡国立大学计算机学院最佳博士毕业论文唯一获奖者, 新加坡信息发展部科技金牌获得者,5 篇国际一流会议的 best papers award nomination, 自 2009 年起发表 60 多篇国际会议 / 期刊论文研究领域 ( 详见 1. 异构数据的查询和信息检索 :

com/citations?user=arv74zmaaaaj 个人主页 :http://ciir.cs.umass.edu/personnel/croft.html http://www.rmit.edu.au/contact/staff-contacts/academic-staff/c/croft-professor-bruce/ W.

6 科研重点 :spatio-textual data (e.g. google map service), (structured) relational data, social network data (graph+text) 研究方法 : 探索式查询 (Exploratory Search Paradigm); Efficiency & Scalability Study 2. 社交网络的数据管理和分析 : 侧重 publisher/subscriber 系统的研发 3. 可视化信息检索和查询 : 侧重交通数据和 Multi-graph 上的可视化数据探索问题个人主页 : sites.google.com/site/baozhifengcs/home (Google Zhifeng Bao ) zhifeng.bao@rmit.edu.au; baozhifeng.cs@gmail.com 675+ citations, H-index: 10 (Since 2009) DBLP Entry: Google Scholar: Research Interests: How to make data usable to data consumers, and make the implementation of such usability module as efficient and generalized as possible. In particular, I am interested in Improving the Usability of Heterogeneous Cross-domain Data - (Semi-)Structured data: relational, XML, spatial - Unstructured data: text string - Social network data: modelling, management and analysis - High-dimensional data: image, video, time-series trajectory Research Topics: - Data Exploration - Spatio-Textual query processing - Publisher/Subscriber over social media streams - Real Time Personalized Search Methodology: (1) Keyword Search, (2) Query Relaxation/Suggestion, (3) Visualized Data Analytics, (4) Exploratory Search Paradigm, (5) Provenance Data Storage and Tracking. 2. Dr. Shane Culpepper Shane Culpepper 为澳大利亚研究理事会优青获得者,RMIT 计算机科学信息技术学院担任助理教授当前工作重点是如何设计高效算法和数据结构来解决多种信息的存储和检索问题主要研究领域包括信息检索, 文本索引, 数据压缩, 自然语言处理, 实验性算法和可拓展分布式并行计算科研重点 : 开发新的模型以帮助推理复杂数据表示, 并从理论和实际角度来探索算法和数据结构, 从而有助于支持现代数据处理任务我们特别关注的包括文本索引, 数据压缩, 模式搜索和信息探索许多计算领域依赖大量的数据集, 比

社交网络的数据管理和分析 : 侧重 publisher/subscriber 系统的研发 3. 可视化信息检索和查询 : 侧重交通数据和 Multi-graph 上的可视化数据探索问题个人主页 : sites.google.

7 如信息检索, 自然语言处理, 机器学习, 数据挖掘, 数据科学, 生物信息学和数据流等, 皆受益于我们的研究领域个人主页 : DBLP Entry: Google Scholar: Shane Culpepper is an ARC DECRA Research Fellow and senior lecturer at RMIT University in the School of Computer Science & Information Technology. My current work focuses on how to design efficient algorithms and data structures for a wide variety of information storage and retrieval problems. Broadly speaking my research interests include information retrieval, text indexing, data compression, natural language processing, experimental algorithmics, and scalable distributed/parallel computing. See my webpage at for more details on grants, publications, and key selection criteria for students and postdocs. You can also find PhD theses from previous my previous students on the webpage. Research Summary The velocity of digital information being produced everyday continues to outpace efficient storage and processing capacities. The volume of data that must be manipulated presents unique challenges in algorithm design, and makes efficiently computing statistics, finding interesting patterns, or answering queries difficult in many practical settings. Our group focuses on developing new models to help reason about complex data representations, and discovering algorithms and data structures of both theoretical and practical interest that are capable of efficiently supporting modern data processing tasks. Our specific areas of focus include text indexing, data compression, pattern search, and information discovery. Many computational domains that are heavily reliant on the processing of massive data sets, such as information retrieval, natural language processing, machine learning, data mining, data science, bioinformatics, and data streams benefit from this line of research. Research Topics - Information Storage and Retrieval - Data Compression - Empirical Algorithmics - Distributed and Parallel Computing - Natural Language Processing - Operating Systems - Data Streams 3. Associate Professor Lawrence Cavedon 个人主页 : lawrence.cavedon@rmit.edu.au Lawrence 副教授拥有多年的工业界和学术界经验最近的研究领域包括对话式搜索, 搜索结果摘要提取, 文本挖掘 H-index: 21

user=oflbseeaaaaj Shane Culpepper is an ARC DECRA Research Fellow and senior lecturer at RMIT University in the School of Computer Science & Information Technology.

8 DBLP Entry: Google Scholar Entry: user=zaeiieuaaaaj&hl=en Research Topics: Text Mining/Analytics for Biomedical applications Search Result Summarization Conversational Search Spoken dialogue management and spoken language interfaces 4. Dr. Falk Scholer Falk,RMIT 计算机科学信息技术学院担任助理教授研究领域包括对信息的检索存储和分析, 信息检索系统评估, 相关性和用户感知研究, 交互搜索和用户建模, 文档概要, 网络和企业搜索引擎个人主页 : DBLP entry: Google scholar entry: user=qoljlqsaaaaj Falk is a senior lecturer at RMIT. His research is in the domain of information retrieval, the study of storing, analysing and retrieving information. Information retrieval has many applications, the best known of which are probably web search engines such as Google and Bing. Dr Scholer has supervised 14 PhD and Masters by Research Completions. Research Topics: Evaluation of information retrieval systems Relevance and user perceptions Interactive search and user modelling Document summarisation Web and enterprise search engines 5. Associate Professor, James Thom James 副教授的主要研究领域在以下三个方面 :1) 结构化文档, 文件结构可以通过标记语言如 XML 来表示, 该主题包括 : 文档数据库系统, 文档管理, 文本索引,XML 检索 2) 本体论, 知识可以通过诸如 RDF 和 OWL 的标记语言表示, 内容包括关联数据, 面向对象数据库, 本体设计, 语义信息检索, 语义网, 数据网 3) 图像及视频检索,

9 虽然很多信息被包含在文本文件中, 其它媒体也很重要, 尤其是图像和视频研究点包括 : 图像和视频检索系统, 多媒体数据库, 社会媒体图像检索个人主页 : james.thom@rmit.edu.au DBLP Entry: Research Interests: Theme 1: Structured Documents. Document structure can be represented by markup languages such as XML. Research interests under this theme include: document database systems; document management; text indexing; XML retrieval. Theme 2: Ontologies. Knowledge can represented by markup languages such as RDF and OWL. Research interests under this theme include: linked data; object oriented databases; ontology design; semantic information retrieval; semantic web; web of data. Theme 3: Image and Video Retrieval. Although much information is contained in text documents, other media are important, especially image and video. Research interests under this theme include: image and video retrieval systems; multimedia databases, social media image retrieval. 4. Dr. Sandra Uitdenbogerd Sandra 博士的研究方向为多媒体信息检索 ( 如音乐视频文本 ) 计算机辅助语言学习 (CALL) 搜索引擎技术易读性度量模式匹配压缩技术计算机音乐 ( 机器听力 ) 推荐系统等 sandra.uitdenbogerd@rmit.edu.au 个人主页 : Research Topics: Multimedia information retrieval (e.g. music, video, text) Computer-Assisted Language Learning (CALL) Recommender systems 5. Associate Professor Jenny Zhang Jenny 在数据挖掘领域中已经深入工作了超过 15 年, 最近的工作重点在社会网络数据分析, 情感分析和观念挖掘曾在 IEEE TKDE, KDD

Research interests under this theme include: document database systems; document management; text indexing; XML retrieval. Theme 2: Ontologies.

10 等知名期刊和会议中发表数篇论文其研究工作得到澳大利亚研究委员会维多利亚州政府和工业界的资助, 并一直作为 PAKDD, DEXA 和 ADC 等国际和澳大利亚知名会议的评审委员 Jenny 在澳大利亚墨尔本大学获得了计算机科学的博士学位 H-index: 14 个人主页 : 代表性科研资助项目以下简要列举国立科研经费如澳大利亚研究理事会 (Australian Research Council), 国际知名公司联合研究项目如 Google, Microsoft,Yahoo ARC Linkage: User-Adaptive search and evaluation for complex information seeking tasks ( ) Google Faculty Research Award: Magnitude Estimation for the Evaluation of Search Systems (2015) Industry grant from Seek Ltd.: User-Adaptive search and evaluation for complex information seeking tasks (2015) ARC Linkage: Spoken Conversational Search: Contextual interactive techniques to support effective information search over a speech-only communication channel ( ) QNRF: Answering Real-time Questions from Arabic Social Media ( ) ARC Discovery: Effective summaries for search results ( ) ARC Discovery Early Career Research Award DE : Beyond keyword search for ranked document retrieval. ( ) ARC Discovery Grant: "Efficient and effective ad-hoc retrieval using structured and unstructured geospatial information." Australian government Office for Learning and Teaching Seed Grant. Defining a Unified Model of Vocabulary Acquisition via Extensive Reading ( ) ARC Discovery: Sub-collection retrieval: understanding and improving search engines ( ) ARC Linkage: TRIIBE - TRacking Indoor Information BEhaviour ( ) ARC Linkage: Data mining complex transactional and criminal networks ( ). Google Faculty Award: Orchestrated search: exploiting differences between sub-collections to improve retrieval accuracy (2013) Google Faculty Research Award: Searching, combining and interpreting tabular data in scientific papers (2013) ARC Discovery Grant: Efficient and effective algorithms for searching strings in secondary storage. ( ) ARC Linkage: The Circus Oz Living Archive: developing a model of online digital engagement for the performing arts ( ) Yahoo: Refinding information in the Web (2012) ARC Linkage: Accounting for Sustainability: Developing an Integrated Approach for Sustainability Assessments ( ) ARC Linkage: Accurate Context-Aware Search for Managed Document Collections ( ) Microsoft Research Award: Extracting query semantics from past query sequences to support exploratory search (2008)

au/~zhang/ 代表性科研资助项目以下简要列举国立科研经费如澳大利亚研究理事会 (Australian Research Council), 国际知名公司联合研究项目如 Google, Microsoft,Yahoo ARC Linkage: User-Adaptive search and

说明为了反映教运行的基本状态, 为校和院制定相关政策和进行教建设与改革提供据依据, 校从程资源 ( 开类别开量规模 ) 教师结构程考核等维度, 对 2015 年春季期教运行基

说明为了反映教运行的基本状态, 为校和院制定相关政策和进行教建设与改革提供据依据, 校从程资源 ( 开类别开量规模 ) 教师结构程考核等维度, 对 2015 年春季期教运行基内部资料东北师范大教运行基本状态据报告 2015 年春季期教务处 2015 年 10 月 27 日说明为了反映教运行的基本状态, 为校和院制定相关政策和进行教建设与改革提供据依据, 校从程资源 ( 开类别开量规模 ) 教师结构程考核等维度,

Why RMIT? - 做 世 界 级 的 科 研, 同 时 在 连 续 四 年 荣 获 全 球 最 宜 居 城 市 的 墨 尔 本 Enjoy Your Life! - 独 一 无 二 的 地 理 位 置 : 墨 尔 本 市 中 心,300 米 对 接 唐 人 街 享 尽 美 食, 便 利 的 交

Why RMIT? - 做世界级的科研, 同时在连续四年荣获全球最宜居城市的墨尔本 Enjoy Your Life! - 独一无二的地理位置 : 墨尔本市中心,300 米对接唐人街享尽美食, 便利的交