港科大广州信息枢纽：面向全球招募优秀学者加入教授队伍

在瞬息万变的数字化时代，多学科融合的现象愈发繁杂，各行各业对于复合型人才的需求也在与日俱增。香港科技大学不断地融合多元学科，并开创崭新的前沿学科知识，以回应广大社会不断展现的需求。

正在建设中的香港科技大学（广州）（简称港科大（广州））校园位于广州市南沙区，计划于2022年9月正式开放。

自2019年获得教育部批准办学以来，港科大（广州）就充分体现了港科大在融合学科方面重塑未来教育的理想与抱负。她拥有连接多个学科的四大枢纽（Hub）：功能枢纽、信息枢纽、系统枢纽和社会枢纽。在四个枢纽中，信息枢纽和功能枢纽环环相扣，成为系统枢纽的基础，从而为社会枢纽提供支持。所有枢纽互联互通，将共同为社会带来影响和改变。

2022·RECRUITMENT

信息枢纽，旨在应对当今数字化转型时代里人类与信息技术互动带来的全球性挑战。在广州新校园建成开放的元年之际，信息枢纽面向有潜力的科研人才发起全球招贤令！

如果您不满足于单一学科的积累

如果您有意于深耕交叉学科研究

如果您想要培育更多的

数字化转型时代的科研先锋军

那么港科大广州信息枢纽

将为您提供难得的机遇和挑战

从计算媒体艺术到数据分析

再到物联网和人工智能

……

在这里，

您可以与全球顶尖的学者教授共事

传教最前沿的信息技术

为各行各业的数字化转型赋能

01

在信息枢纽，您将收获

港科大一体，享受双重资源

按照规划，在“法人独立、财务独立”的前提下，港科大和港科大（广州）未来将实现学科和行政架构的一体化运作。

“港科大一体，双校互补”，两个校园没有总部、分校之别，只有学科差异。两个校园课程、教研设施，图书馆资源等将完全互相开放。无论身居香港还是广州，均可享受双重资源。港科大和港科大（广州）未来将隶属同一个大学系统，两校一体。 

信息枢纽背靠港科大扎实的传统学科，却又能够突破传统学科的界限，目前设置的学域包括人工智能（AI）、数据科学（DSA）、物联网（IoT）和计算媒体与艺术（CMA），都能够与生物医学、先进材料、金融科技、智能制造等领域完美融合，并在其中发挥关键的作用。

信息枢纽将培养一支跨学科团队，配合国家信息化发展战略，每一位加入枢纽的教授和学生都需要采取全新的视角来应对全球挑战。 

极具竞争力的薪酬 充足的科研经费

港科大（广州）的教师待遇在国际标准上也极具竞争力，与港科大整体相若，教授的起薪领先于亚洲和大湾区的大部分大学。具体待遇与教师资历与科研经验密切相关。 我们还将提供丰厚的项目启动资金，充足的实验室空间和优良的研究设备与研究支持。

所有职位，将由香港科技大学（广州）根据中国劳动法的要求进行任命。

国际一流的科研水平和教学环境

港科大是香港大学教育资助委员会“2020研究评审工作”的佼佼者，最新发布报告中，由七成来自全球各地（非本地）学者组成的评审小组认定：港科大81%教学人员的研究评级为“国际卓越”或“世界领先”水平。

在香港各大学中，港科大的国际化程度最高，国际学生比例常年居首。

在建设广州新校园之际，港科大会将这一文化传承到大湾区，让您无论身处哪个校园，都能够与来自世界各地的学者与学生交流合作，享受世界一流学府般的学术气氛和科研环境。 

大湾区的人才政策与创业环境

港科大广州校园将坐落于广州市南沙区，南沙区政府也对新引进的教授人才制定了丰厚的政策补贴。符合条件的录用者可有机会申请南沙区高端领军人才认定和南沙区骨干人才奖，特别杰出的还可申请广州市乃至广东省高层次人才认定，享受相应的住房及待遇补贴。

两个校园分布港穗，粤港澳大湾区科创带来的机遇，将有助您的科研成就迅速转化。港科大（广州）就处在广州最新规划的高科技园区，师生的科研成果及创新理念可透过园区内完善的高科技产业链进行转移。

而港科大于全球有超过300个合作伙伴，亦有多个受政府资助、由港科大牵头的国际科研项目，两地人才合作将可发挥最大效力。

此外，港科大目前在大湾区内还有位于广州的霍英东研究院、深圳研究院、深港协同创新研究院、和佛山的LED中心多个知识转移基地，都会在您寻找商业伙伴时助一臂之力。 

02

 四大学域， 虚位以待 

AI

Artificial Intelligence

人工智能

开展人工智能基础研究和一系列涉及人工智能技术的应用研究项目，推动经济转型和社会发展。

港科大（广州）新校区人工智能（AI）学域，全球诚邀教授团队，岗位包括教授、副教授和助理教授级别，助力港科大广州校区信息枢纽AI学域的建设与完善。

候选人应具备在人工智能及其应用方面进行高影响力研究的能力。我们特别欢迎对人工智能应用研究感兴趣的候选人才，以及能够与各领域的专家密切合作，在目标应用领域运用人工智能开发出变革性技术的AI人才。涉及的重点领域包括但不限于AI+设计、AI+金融、AI+制造、AI+医疗、AI+安全与隐私、AI+智能生活等。我们欢迎资深的人工智能学者踊跃报名，特别是对广州新校区人工智能学域的战略发展有帮助的饱学之士。应聘人员需要具有相关学科的博士学位。

DSA

Data Science and Analytics

数据科学与分析

通过整合统计、机器学习、优化以及各种相关技术，推进数据科学与分析工作的发展。此学域将扩大数据科学与分析的应用层面，研发端到端的解决方案，有助解决现实难题，造福社会。

数据科学与分析（DSA）学域侧重于研究统一统计、机器学习、数据优化及其相关技术。通过分析数据和数据建模，我们希望将数据分析结果转化为工业和商业洞察，以便做出更有效的决策。我们希望应聘者具有能够在数据科学与分析领域做出高影响力研究的能力。DSA学域目前的重点领域包括但不限于数据驱动的人工智能和机器学习、统计学习和建模、工业和商业分析（运营相关的数据分析、商业智能和战略等）、特定领域的数据分析（医疗保健、金融、保险、市场、制造、运输等领域）。

 CMA

Computational Media and Arts

计算媒体与艺术

运用新技术进行艺术创作和视觉传意，集中增强现实（AR）和虚拟现实（VR）的艺术、人工智能艺术创作、信息艺术和设计，以及数据可视化等范畴。此学域亦有利促进艺术与科技的结合，并以最先进的技术进行艺术创作和视觉传意，为社会带来正面影响。

港科大广州校区的计算媒体与艺术 （CMA） 学域诚邀您来填补各个级别的多个教师职位的空缺。CMA学域目前提供研究型硕士和博士学位，专注于使用新兴技术的艺术研究和艺术实践。它由来自不同背景的教职员工和学生组成，加速艺术与技术的相互融合，并利用最先进的技术进行具有社会影响的创造。

访问下面的链接，了解关于CMA的更多信息：

https://cma.hkust-gz.edu.cn

CMA学域希望候选人能够在跨学科学术领域中茁壮成长，并丰富用创意驱动的课程体系，能够在以科学、技术和工程为主要导向的大学环境中开展具有高影响力的艺术相关的研究。CMA学域欢迎来自不同背景的候选人，尤其是研究以下领域的候选人：

增强/虚拟/混合现实 （VR、AR、XR）

互动媒体和游戏

计算机图形设计和 3D 动画

人机/人-机器人/人-AI交互

数据、人工智能和艺术机器学习

图像和音频处理

物理计算、电子和机器人艺术

数字制造技术

多媒体性能

批判性媒体研究、媒体艺术史和理论

其他形式的基于代码的艺术或计算介质

将计算与其他学科（如生物学、材料科学、环境研究等）联系起来的跨学科艺术实践

拥有技术背景的应聘者应具有相关学科的博士学位，并拥有在计算媒体相关领域进行高影响力研究的能力。拥有艺术实践背景的应聘者应具有博士学位，或者在经过认可的机构担任学术职务，并曾为艺术研究生提供咨询与指导，或者有知名的媒体艺术展览参与史，并在其相关的领域有持续的创造性实践。

  IoT

Internet of Things

物联网

采用交叉学科教学法，协助学生以跨界知识革故鼎新及探索崭新研究前沿领域，由此发展出由物联网技术主导的未来智能城市和数字化社会。致力成为全球知名的物联网研究中心，推进物联网的基础研究及相关领域的应用和发展，并进一步推动中国成为物联网领域的全球领导者。

物联网（IoT）学域在教授、副教授和助理教授的职级中拥有多个终身教职（tenured）/终身轨教职（tenure-track）岗位。IoT学域感兴趣的是能够创建多学科物联网课程并在以科学、技术和工程为主要导向的学术环境中进行高影响力研究的应聘者。应聘者必须拥有博士学位，并在以下一个或多个与物联网相关的领域工作：物联网基础设施和设备（传感设备、处理器、集成电路和嵌入式系统）、物联网系统和通信（无线通信和网络、中间件和云/边缘计算）、物联网智能和自动化（数据分析、机器学习和算法设计）、物联网应用（智能网格、 智能家居、智能城市、智能交通和自动驾驶以及智能医疗保健）、物联网安全和隐私增强技术。在港科大广州校园，应聘者同样需要具备优秀的英文书面和口语水平。

✔  终身助理教授的申请者应具有扎实强大的研究与教学潜力。

✔  副教授申请者应在研究、教学、学生监督和科研资金方面拥有经过考证的经验。

✔  教授申请者应具有世界一流的学术成就、国际学术领导才能，并在教学、学生监督和科研资金方面有已获确认的经验。

03

  您将与以下学者共事  

向上滑动阅览

TSUNG Fugee 宗福季

- Acting Dean, Information Hub

- Chair Professor

Data Science and Analytics Thrust

- PhD in Industrial and Operations Engineering, University of Michigan

Research Interests:

• Quality Analytics

• Industrial Big Data

• Statistical Process Control (SPC)

• Monitoring and Diagnosis

• Helping Solve the World's Problems Using Quality, Analytics, and Innovation

Biography:

TSUNG Fugee is a Chair Professor at HKUST and the Acting Dean of the Information Hub at HKUST(GZ). He received both his PhD and MSc in Industrial and Operations Engineering from the University of Michigan, Ann Arbor. Prof. Tsung is also the Director of the Quality and Data Analytics Lab, and former Editor-in-Chief of the Journal of Quality Technology (JQT). Based on his pioneering contribution to Quality Analytics research and education, he has been elected Academician of the International Academy for Quality (IAQ), Fellow of the American Statistical Association (ASA), Fellow of the Institute of Industrial and Systems Engineers (IISE), Fellow of the American Society for Quality (ASQ), Elected Member of the International Statistical Institute (ISI), and Fellow of the Hong Kong Institution of Engineers (HKIE). His research interests include industrial big data and quality analytics. He has authored over 170 refereed journal publications and received IISE Transactions' Best Paper Award three times, in 2004, 2009, and 2018, respectively.

CHEN Lei 陈雷

- Acting Thrust Head, Chair Professor

Data Science and Analytics Thrust

- Chair Professor

Dept of Computer Science & Engineering, School of Engineering

- PhD in Computer Science, University of Waterloo

Research Interests:

• Data-driven machine learning

• Crowdsourcing-based data processing

• Uncertain and probabilistic databases

• Web information management

• Multimedia systems

Biography:

CHEN Lei is a Chair Professor at HKUST and the Acting Head of the Data Science and Analytics Thrust. He received his BS degree in Computer Science at Tian Jin University ,P.R.China(BS 94), and an MA degree in computer science at Asian Institute of Technology (AIT) Asian Institute of Technology (MS 97). He received a Ph.D. degree in Computer Science at University of Waterloo. Lei Chen is an IEEE Fellow and ACM Distinguished Scientist.

TSANG Hin Kwok Danny 曾宪国

- Acting Thrust Head, Professor

Internet of Things Thrust

- Professor

Dept of Electronic & Computer Engineering, School of Engineering

- Ph.D. in electrical engineering, Moore School of Electrical Engineering at the University of Pennsylvania

Research Interests:

• Smart grids

• Networking

• Wireless networking

• Cloud/Edge computing

Biography:

TSANG Hin Kwok Danny received the Ph.D. degree in electrical engineering from the Moore School of Electrical Engineering at the University of Pennsylvania, U.S.A., in 1989. Upon graduation, he joined the Department of Computer Science at Dalhousie University in Canada. He later joined the Department of Electronic & Computer Engineering at the Hong Kong University of Science and Technology in 1992 and is now a professor in the department. He was a Guest Editor for IEEE Journal of Selected Areas in Communications’ special issue on Advances in P2P Streaming Systems, an Associate Editor for Journal of Optical Networking published by the Optical Society of America, and a Guest Editor for IEEE Systems Journal. He currently serves as Technical Editor for IEEE Communications Magazine. He was nominated to become an IEEE Fellow in 2012 and an HKIE Fellow in 2013. During his leave from HKUST in 2000-2001, Dr. Tsang assumed the role of Principal Architect at Sycamore Networks in the United States. He was responsible for the network architecture design of Ethernet MAN/WAN over SONET/DWDM networks. He invented the 64B/65B encoding (US Patent No.: US 6,952,405 B2) and contributed it to the proposal for Transparent GFP in the T1X1.5 standard that was advanced to become the ITU G.GFP standard. The coding scheme has now been adopted by International Telecommunication Union (ITU)’s Generic Framing Procedure recommendation GFP-T (ITU-T G.7041/Y.1303)) and Interfaces for the Optical Transport Network (ITU-T G.709). His current research interests include cloud computing, edge computing, NOMA networks, mmWave communications and smart grids.

QU Huamin 屈华民

- Acting Thrust Head

Computational Media and Arts Thrust

- Chair Professor

Dept of Computer Science & Engineering, School of Engineering

- Chair Professor

Dept of Electronic & Computer Engineering, School of Engineering

- PhD in Computer Science, Stony Brook University

Research Interests:

• Big data

• Information visualization

• Human-computer interaction

• Artificial intelligence

• Mobile augmented reality

Biography:

QU Huamin is a full professor in the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST) and also the director of the interdisciplinary program office (IPO) of HKUST. He obtained a BS in Mathematics from Xi’an Jiaotong University, China, an MS and a PhD in Computer Science from the Stony Brook University. He is the director of the VisLab and also serves as the coordinator of the Human-Computer Interaction (HCI) group at the CSE department. His main research interests are in visualization and human-computer interaction, with focuses on urban informatics, social network analysis, E-learning, text visualization, and explainable artificial intelligence (XAI). He has co-authored about 200 refereed papers and more than 50 papers are published in the IEEE Transactions on Visualization and Computer Graphics (TVCG), making him one of the most productive researchers in this journal. He is currently an associate editor of Computer Graphics Forum (CGF), and was an associate editor of IEEE TVCG, a paper co-chair for IEEE VIS’14, VIS’15 and VIS’18, a program co-chair for IEEE PacificVis’11 and IEEE PacificVis’12, a conference co-chair for VINCI’11 and VINCI’12, and a program vice chair for ChinaGraph 2014.

XIONG Hui 熊辉

- Acting Thrust Head, Chair Professor

Artificial Intelligence Thrust

- Affiliate Professor

Dept of Computer Science & Engineering, School of Engineering

- PhD in Computer Science, University of Minnesota - Twin Cities (UMN)

- PhD in Statistics, University of Minnesota - Twin Cities (UMN)

Research Interests:

• Data mining and knowledge discovery

• Big data analytics

• Mobile computing

• Business intelligence

• Information assurance

Biography:

XIONG Hui is currently the Head and Chair Professor of the Artificial Intelligece Thrust at the Hong Kong University of Science and Technology (Guangzhou).Prof. Xiong’s main research areas are data mining, business intelligence, mobile computing, and big data of human resources. He has obtained AAAS Fellow, IEEE Fellow, ACM Distinguished Scientist, Changjiang Chair Professor of the Ministry of Education of China, Overseas Jieqing B (Collaborative Research Fund for Overseas, Hong Kong and Macau Scholars) of the National Science Foundation of China, Harvard Business Review’s “2018 Ram Charan Award for Management Practices”-- Full Prize, 2017 IEEE ICDM Outstanding Service Award, ICDM-2011 Best Research Paper Award,and AAAI-2021 Best Paper Award. In terms of talent cultivation, most of the PhD supervised by Prof. Xiong have become tenure-track professors at prestigious universities in United States, including University of Tennessee-Knoxville, University of Arizona, Stony Brook University, University of Central Florida, George Mason University, City University of Hong Kong, University of Kansas and ESCP Business School-Paris.

YANG Qiang 杨强

- Chair Professor

Artificial Intelligence Thrust

- Chair Professor

Dept of Computer Science & Engineering, School of Engineering

Research Interests:

• Artificial intelligence

• Transfer Learning

• Machine Learning

• Planning & Data Mining

ZHOU Xiaofang 周晓方

- Affiliate Professor

Data Science and Analytics Thrust

- Chair Professor

Dept of Computer Science & Engineering, School of Engineering

- PhD in Computer Science, The University of Queensland

Research Interests:

• Database systems

• Spatial databases

• Big data

• Information and multimedia processing

• Machine learning

Biography:

ZHOU Xiaofang is Otto Poon Professor of Engineering and Chair Professor of Computer Science and Engineering at HKUST. From 2006 to 2020, he was a Professor of Computer Science at The University of Queensland, Head of Data and Knowledge Engineering (DKE) research group, and Leader of Data Science Discipline. Under his leadership, UQ DKE/Data Science discipline received 5 out of 5 ranking in the Australian Research Council's research quality assessment for three consecutive rounds (ERA 2012, 2015, 2018). Before joining UQ in 1999, he worked as a Senior Research Scientist in the Commonwealth Scientific and Industrial Research Organisation (CSIRO), leading its Spatial Information Systems group. Xiaofang received his BSc and MSc degrees in Computer Science from Nanjing University in 1984 and 1987 respectively, and PhD in Computer Science from UQ in 1994. He is a Fellow of IEEE.

CHU Xiaowen 褚晓文

- Professor

Data Science and Analytics Thrust

- Affiliate Professor

Dept of Computer Science & Engineering, School of Engineering

- PhD in Computer Science, Hong Kong University of Science and Technology

Research Interests:

• GPU Computing

• Parallel and Distributed Computing

• Cloud Computing

• Wireless Networks

Biography:

CHU Xiaowen received his B.Eng. degree in the Computer Science from Tsinghua University, Beijing, P. R. China, in 1999, and the Ph.D. degree in the Computer Science from the Hong Kong University of Science and Technology in 2003. He is a full  profeesor in the Data Science and Analytics Thrust, Information Hub in the Hong Kong University of Science and Technology (Guangzhou).He was a professor in the Department of Computer Science, Hong Kong Baptist University. He was serving as the Director of the High Performance Cluster Computing Centre of HKBU, the Director of Blockchain and Fintech Laboratory, and the Director of High Performance Machine Learning Laboratory. He is a senior member of IEEE and a member of ACM. He is a vice-chairman of the Blockchain Technical Committee of China Institute of Communications.

His current research interests include GPU Computing, Parallel and Distributed Computing, Cloud Computing, and Wireless Networks. He is especially interested in the modelling, parallel algorithm design, application optimization, and energy efficiency of GPU computing.

WANG Wei 王炜

- Professor

Data Science and Analytics Thrust

- Affiliate Professor

Dept of Computer Science & Engineering, School of Engineering

- PhD in Computer Science, Hong Kong University of Science and Technology

Research Interests:

• Understanding high-dimensional data

• Integration of database and artificial intelligence technologies

• Knowledge graphs

• Security issues of deep learning models

• Cross-disciplinary research and applications

Biography:

WANG Wei is currently a Professor in the Information Hub, The Hong Kong University of Science and Technology (Guangzhou), and he is also an affiliated Professor in the Department of Computer Science and Engineering, HKUST. Previously, He was a Redbird Visiting Professor in the Department of Computer Science and Engineering, HKUST, and a Professor in the School of Computer Science and Engineering, University of New South Wales, Australia. He has published over 100 research papers in these areas, with a majority of them in prestigious international journal (ACM TODS, VLDB Journal, IEEE TKDE) and conferences (SIGMOD, VLDB, ICDE, WWW, SIGIR, IJCAI, AAAI, ACL).

HUI Pan 许彬

- Professor

Computational Media and Arts Thrust

- Affiliate Professor

Division of Emerging Interdisciplinary Areas, Interdisciplinary Programs Office

- PhD in the Computer Laboratory, University of Cambridge

Research Interests:

• Mobile computing

• Computer networking

• Data analytics

• Human-computer interaction

Biography:

HUI Pan is a Professor of Computational Media and Arts and Director of the HKUST-DT Systems and Media Lab at the Hong Kong University of Science and Technology (HKUST). He is also the Nokia Chair in Data Science at the University of Helsinki, Finland. Professor Hui received his PhD from the Computer Laboratory at University of Cambridge, and both his Bachelor and MPhil degrees from the University of Hong Kong. He was an adjunct Professor of social computing and networking at Aalto University, Finland, and a Distinguished Scientist at the Deutsche Telekom Laboratories (T-labs), Germany. His industrial profile also includes his research at Intel Research Cambridge, UK and Thomson Research Paris, France. Professor Hui is a world-leading expert in Augmented Reality and Mobile Computing, with more than 400 research papers, 30 patents, and over 20,000 citations. He is an International Fellow of the Royal Academy of Engineering, a member of Academia Europaea, an IEEE Fellow, and an ACM Distinguished Scientist.

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END

文字 | Sherry、方智

排版 | Sherry

审核 | 宗福季、蒋丽滢

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