中科院香港AIR中心张有枝课题组招聘AI方向博士后和研究助理

中国科学院香港创新研究院-人工智能与机器人创新中心成立于2019年，是国家在港设立的首个人工智能领域的国务院直属科研机构。由中国科学院与香港政府共同出资，中科院自动化所筹建。该中心同时入选香港InnoHK计划，为14家人工智能领域的InnoHK研发中心之一。中心围绕新一代人工智能基础理论、面向医疗健康的智能技术与设备、人工智能开放平台技术等方面开展国际领先的研究；聚焦医疗健康技术、金融科技、AI艺术生成三大领域的应用。中心网页：https://www.cair-cas.org.hk

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，还有一些和我们中心的曾大军教授和刘宏斌教授等团队一起合作的偏应用的研究项目，比如手术机器人的智能控制。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.        基于强化学习（RL）的手术机器人的智能控制
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博士后。申请研究助理岗位的同学需要有比较好的强化学习技术基础。感兴趣的同学请投简历到E-mail: youzhi dot zhang dot lgc@gmail dot com

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