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-<color red>**Postdoc Position Available in Knowledge Graph for Medical Applications (March 2019)**.  A two-year full-time post-doctoral position is available at the Chinese University of Hong Kong, starting in Spring/Summer 2019.  The successful candidate will work with Prof. Irwin King and others in the group, on developing knowledge graphs for medical applications, i.e., NLP, recommender systems, graph embedding, etc.  For interested candidate, please send your CV, a publication list, and a brief (1-2 page) statement of your research interests to Prof. Irwin King, [[king@cse.cuhk.edu.hk|email]].</color>+<color red>**Multiple Positions Available (March 2020)**</color> 
 +  * Looking for qualified **PhD candidates** interested in graph neural networks, knowledge graphs, machine learning, NLP, social computing, AI, data mining, or related fields to start in August 2020 or August 2021. 
 +  * Looking for a **Research Assistant (RA)** to work in machine learning, social computing, NLP or related fields. 
 + * Looking for a **Research Assistant (RA)** to work in sparse coding, sparse network, low-dimension neural networks, or related fields in machine learning. 
 +  * Looking for a **Technical Writer** to work in technology and education writing. 
 +  * Looking for experienced **programmers/software engineers/web developers** to work in front-end and back-end web development projects involving AI, education, and related projects.  Please see this [[https://keep.edu.hk/en/careers|link]] for more information on various engineering positions available. 
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 +For interested candidates, please send your CV, a publication list, and a brief (1-2 page) statement of your research interests to Prof. Irwin King, [[king@cse.cuhk.edu.hk|email]]. 
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 +/*    * A two-year full-time post-doctoral position is available at the Chinese University of Hong Kong, starting in Spring/Summer 2019.  The successful candidate will work with Prof. Irwin King and others in the group, on developing knowledge graphs for medical applications, i.e., NLP, recommender systems, graph embedding, etc.  For interested candidate, please send your CV, a publication list, and a brief (1-2 page) statement of your research interests to Prof. Irwin King, [[king@cse.cuhk.edu.hk|email]]. */ 
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Prof. King is the Book Series Editor for "Social Media and Social Computing" with Taylor and Francis (CRC Press).  He is also an Associate Editor of the ACM Transactions on Knowledge Discovery from Data (ACM TKDD) and a former Associate Editor of the IEEE Transactions on Neural Networks (TNN) and IEEE Computational Intelligence Magazine (CIM). He is a member of the Editorial Board of the Open Information Systems Journal, Journal of Nonlinear Analysis and Applied Mathematics, and Neural Information Processing–Letters and Reviews Journal (NIP-LR). He has also served as Special Issue Guest Editor for Neurocomputing, International Journal of Intelligent Computing and Cybernetics (IJICC), Journal of Intelligent Information Systems (JIIS), and International Journal of Computational Intelligent Research (IJCIR). He is a senior member of IEEE and a member of ACM, International Neural Network Society (INNS), and Asian Pacific Neural Network Assembly (APNNA). Currently, he is serving the Neural Network Technical Committee (NNTC) and the Data Mining Technical Committee under the IEEE Computational Intelligence Society (formerly the IEEE Neural Network Society). He is also a member of the Board of Governors of INNS and a Vice-President and Governing Board Member of APNNA.  He also serves INNS as the Vice-President for Membership in the Board of Governors.  Moreover, he is the General Chair of WSDM2011, General Co-Chair of RecSys2013, and in various capacities in a number of top conferences such as WWW, NIPS, ICML, IJCAI, AAAI, etc. Prof. King is the Book Series Editor for "Social Media and Social Computing" with Taylor and Francis (CRC Press).  He is also an Associate Editor of the ACM Transactions on Knowledge Discovery from Data (ACM TKDD) and a former Associate Editor of the IEEE Transactions on Neural Networks (TNN) and IEEE Computational Intelligence Magazine (CIM). He is a member of the Editorial Board of the Open Information Systems Journal, Journal of Nonlinear Analysis and Applied Mathematics, and Neural Information Processing–Letters and Reviews Journal (NIP-LR). He has also served as Special Issue Guest Editor for Neurocomputing, International Journal of Intelligent Computing and Cybernetics (IJICC), Journal of Intelligent Information Systems (JIIS), and International Journal of Computational Intelligent Research (IJCIR). He is a senior member of IEEE and a member of ACM, International Neural Network Society (INNS), and Asian Pacific Neural Network Assembly (APNNA). Currently, he is serving the Neural Network Technical Committee (NNTC) and the Data Mining Technical Committee under the IEEE Computational Intelligence Society (formerly the IEEE Neural Network Society). He is also a member of the Board of Governors of INNS and a Vice-President and Governing Board Member of APNNA.  He also serves INNS as the Vice-President for Membership in the Board of Governors.  Moreover, he is the General Chair of WSDM2011, General Co-Chair of RecSys2013, and in various capacities in a number of top conferences such as WWW, NIPS, ICML, IJCAI, AAAI, etc.
-Prof. King is Associate Dean (Education), Faculty of Engineering and Professor at the Department of Computer Science and Engineering, The Chinese University of Hong Kong.  Recently, he was on leave with AT&T Labs Research, San Francisco and was also teaching Social Computing and Data Mining as a Visiting Professor at UC Berkeley.  He received his B.Sc. degree in Engineering and Applied Science from California Institute of Technology, Pasadena and his M.Sc. and Ph.D. degree in Computer Science from the University of Southern California, Los Angeles.+Prof. King is Professor at the Department of Computer Science and Engineering, and a former Associate Dean (Education), Faculty of Engineering at The Chinese University of Hong Kong.  He had worked at the AT&T Labs Research, San Francisco and was also teaching Social Computing and Data Mining as a Visiting Professor at UC Berkeley in early 2010s.  He received his B.Sc. degree in Engineering and Applied Science from California Institute of Technology, Pasadena and his M.Sc. and Ph.D. degree in Computer Science from the University of Southern California, Los Angeles.
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