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这是一条镜像帖。来源:北邮人论坛 / go-abroad / #372555同步于 2020/9/12
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HKUST -【硕士/博士/博士后/访问】- 区块链/机器学习/分布式计

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2020/9/12镜像同步0 回复
香港科技大学广州校区信息枢纽李松泽博士拟招收两到三名博士及研究型硕士研究生、一名博士后研究员。同时开放短期访问学生、学者科研职位。最早入学时间为2021年春季学期。我们将提供非常有竞争力的奖学金https://pg.ust.hk/prospective-students/scholarship-fees/generous-scholarship。博士后研究员可申请额外的人才补助计划。具体信息如下: 科研方向: o Algorithm, theory, and implementation of blockchain systems o Machine learning systems o Coded distributed computing ----------------------------------------------------------------------------------- 招聘要求: Highly self-motivated students and researchers who are interested in developing and reasoning algorithms, and (or) building computer systems. Past experiences on conducting theory and system research and publishing academic papers are preferred. ----------------------------------------------------------------------------------- Technical preferences: o Strong mathematical foundations o Probability and stochastic processes o Background in information theory, learning theory, and optimizations o Cryptography o Strong practical computer science background o Strong programming skills o Experience in building distributed systems ----------------------------------------------------------------------------------- 录取信息: 港科大广州校区正在积极的建设当中。建立在清水湾校区现有的科研及教学结构的基础之上,港科大广州校区将进一步践行培养跨学科复合型领军人才的办学方针。所有于2020/21年录取的硕士及博士研究生将加入广州校区先导计划,并在清水湾校区开始学习。招生详细信息请见港科大广州先导计划https://pg.usthk.cn/prospective-students/admissions/GZ-Pilot-Scheme。 ----------------------------------------------------------------------------------- 导师简介: Dr. Songze Li will be joining the Hong Kong University of Science and Technology (HKUST), Guangzhou campus in November 2020, as an assistant professor in the IoT Thrust of the Information Hub. His research interests lie on the intersection of theory and system of designing efficient, scalable, and secure distributed computing solutions for machine learning and blockchains. Among his major contributions, Dr. Li first introduced leveraging techniques from information/coding theory to design theoretically optimal distributed computing/learning algorithms. Recently, he has been working on designing and implementing efficient and scalable blockchain systems, in both permissionless and permissioned settings. Before joining HKUST, Dr. Li was a research scientist at Stanford University. Prior to that, he spent a year as a research scientist with Applied Protocol Research working on blockchain technologies. Dr. Li received PhD degree from the University of Southern California in 2018, and BSc degree from New York University in 2011, both in electrical engineering. ----------------------------------------------------------------------------------- 联系方式: 请将个人简历、成绩单、学术论文(如有)发送至songzeli@ust.hk。
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