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本帖最后由 youhire 于 2022-10-3 21:54 编辑
我们在中科院香港的团队有算法博弈论及其在安全领域的应用相关的项目,还有一些和大牛团队一起合作的偏应用的研究项目(有一些项目和RL相关),比如医疗决策智能。我们继续招聘博士生、研究助理和博后来做这些项目。欢迎具有优化或者强化学习等背景的同学来申请做研究助理或者博后。也欢迎有一定数学基础的同学来申请读博(和香港城市大学联合培养)或者实习。感兴趣的同学请投简历到E-mail: youzhi dot zhang dot lgc@gmail dot com
中国科学院香港创新研究院人工智能与机器人创新中心 Centre for Artificial Intelligence and Robotics (CAIR), Hong Kong Institute of Science & Innovation (HKISI), Chinese Academy of Sciences (CAS)
https://www.cair-cas.org.hk
CAS-HKISI-CAIR成立于2019年,位于香港科学园。创新中心围绕新一代人工智能基础理论、新型人机交互技术、面向健康的先进机器人技术、跨模态人工智能开放平台技术等方面开展研究工作。 创新中心依托于中科院自动化所,其定位是成为世界一流的人工智能和机器人研究机构。中心旨在充分结合香港本地和全球合作伙伴在医疗、金融科技和艺术领域的优势,助力粤港澳大湾区的科创建设,实现人工智能和机器人技术突破,更好地服务社会。
Descriptions:
Responsibilities:
The successful candidates will conduct fundamental research in artificial intelligence, multi-agent systems, game theory, optimization, and real-world applications in, e.g., security and medical intelligence on decision making. Expected outputs are scientific publications and/or patents/prototype systems. The applicant's professional background includes, but is not limited to:
Algorithmic Game Theory
Algorithm Design
Computational Complexity
Optimization
Multi-agent Reinforcement Learning
The applicant is expected to:
Undertake important scientific and technological tasks and achieve research outputs.
Prepare funding applications in existing and new areas of research, if required.
Assist CAIR R&D and other activities to facilitate our strategic growth of research.
Qualifications:
Ph.D. (or Master degree for RA, or Bachelor degree for Ph.D students) in computer science/engineering, mathematics, economics, operations research, physics, biology or related disciplines.
Good teamwork ability. Willingness to conduct multi-discipline research and engage with researchers with different backgrounds.
Research experience with a proven track record of publication and technology innovation
Benefits:
Highly competitive salary to local universities (negotiable case by case).
Medical insurance, annual leave, etc.
导师团队介绍:
Introduction to Principal Investigators:
曾大军 Daniel Dajun Zeng
Dr. Daniel Dajun Zeng is the Senior Deputy Director of CAIR, HKISI-CAS. He is a research professor at CASIA and also serves as Vice President of CASIA. Dr. Daniel Dajun Zeng (Fellow, IEEE) received the B.S. degree in economics and operations research from the University of Science and Technology of China, Hefei, China, in 1990, and the M.S. and Ph.D. degrees in industrial administration from Carnegie Mellon University, Pittsburgh, PA, USA, in 1994 and 1998, respectively. He has authored more than 300 peer-reviewed articles. His research interests include intelligence and security informatics, infectious disease informatics, social computing, recommender systems, software agents, and applied operations research and game theory. Dr. Zeng currently serves as the Editor-in-Chief of ACM Transactions on MIS.
张有枝 Youzhi Zhang
Dr. Youzhi Zhang is an assistant professor of CAIR, HKISI-CAS. Before joining CAIR, he was a postdoctoral researcher at the Northwestern University, USA, working with Professor V.S. Subrahmanian. From August 2020 to August 2021, he was a postdoctoral researcher at the Dartmouth College, USA, working with Professor V.S. Subrahmanian. He received the Ph.D degree in Computer Science from the Nanyang Technological University, Singapore, where he was advised by Professor Bo An. Prior to that, he received the Bachelor and Master degrees from the Sun Yat-sen University, China.
His research interests include artificial intelligence, multi-agent systems, computational game theory, multi-agent reinforcement learning, and optimization. He focuses on equilibrium computation in multiplayer games and the application of game theory. He has published over 20 referred conference/journal papers, including top conference papers at AAMAS, IJCAI, AAAI, ICLR, and ICML, including the paper of Long Oral Presentation at IJCAI 2022. For contributions to algorithms for equilibrium computation in multiplayer games and their applications, he won the Ph.D Best Thesis Award from the School of Computer Science and Engineering, Nanyang Technological University, in 2021. He was one of the Outstanding Reviewers at ICML 2022 (the Top 10% of reviewers) and won the Best Paper Award at DASC 2022. For more information, please visit: https://youzhi333.github.io/index.html |