博后招募 | 中科院香港AIR中心张有枝课题组招聘人工智能方向博士后/RA

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中国科学院香港创新研究院

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）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。

导师简介

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

招生简介

我们在中科院香港的团队有计算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（比如我们中心的曾大军教授和刘宏斌教授）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。我们继续招聘研究助理和博后来做这些项目。具体研究方向包括：

1. 用优化算法（凸优化或者近似算法）来求解博弈中的均衡；

2. 用ML的方法来求解博弈中的均衡；

3. RL特别是MARL；

4. 从博弈的角度来研究ML中的一些问题；

5. Adversarial（robust）ML；

6. 以及以上研究方向在一些具体场景（比如安全或者医疗场景）上的应用。

招聘要求

欢迎对以上任何研究方向方向有研究经验或者虽然没有经验但感兴趣且具有优化，运筹学，数学，算法设计和分析、强化学习等背景的同学来申请做研究助理或者博后。另外由于funding的原因，做RA的同学需要有硕士学位。

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