清华大学经济管理深圳研究院（Shenzhen Institute of Economics and Management, Tsinghua University）是依据2020年1月深圳市人民政府与清华大学签订的合作框架协议在深圳市福田区共建成立，研究院为清华大学下设的独立法人研究机构。研究院由清华大学经管学院负责直接管理和运行，业务上接受清华大学深圳国际研究生院的领导。
The Shenzhen Institute of Economics and Management, Tsinghua University (Tsinghua SIEM), was established in Futian District of Shenzhen under a cooperation framework agreement signed between the Shenzhen Municipal People’s Government and Tsinghua University in January 2020. The institute is an independent corporate research institution under Tsinghua University. The institute is directly managed and operated by Tsinghua University's School of Economics and Management, and is operationally under the leadership of Tsinghua University's Shenzhen International Graduate School.
依据2020年9月深圳市福田区人民政府与清华大学经济管理学院签订的合作协议，研究院的建设目标是发挥各方优势，为深圳市及粤港澳大湾区提供高素质人才培养、高水平科学研究及促进高科技成果转化等方面的支持，助力清华大学积极培育与引进人文社会学科世界级顶尖人才及团队，创建世界一流的经济管理学科平台。
According to the cooperation agreement signed between the Shenzhen Futian District Municipal People's Government and the School of Economics and Management of Tsinghua University in September 2020, the aim of the institute is to fully leverage the advantages of all parties, and to provide support for the Shenzhen City and the Greater Bay Area in terms of training of high-quality talents, conducting high-level scientific research and promoting commercialization of research outputs. The institute aims to help Tsinghua University attract and cultivate world-class talents in the research field of humanities and social sciences and create a world-class platform for economics and management research.
研究院立足深圳市和大湾区高质量发展需求，推动顶尖学术人才和研究团队落户福田，建设清华大学深圳国际研究生院创新管理学科人才培养项目，发挥经济管理学院在创新创业生态体系中的赋能作用。
Based on the high-quality development needs of the Shenzhen city and the Greater Bay Area, the institute will promote and attract top academic talents and research teams to come to Futian and build the Innovation Management Discipline Talent Training Program of the Tsinghua Shenzhen International Graduate School, providing support to the important role of the School of Economics and Management in the ecosystem of innovation and entrepreneurship.
研究院由深圳市福田区支持，位于深圳市福田区深业上城，配备一流的研究和实践教学设施。
The institute is supported by Futian District, Shenzhen. It is located in Upper Hills, Futian, Shenzhen. The institute has first-class research and practical teaching facilities.
研究院下设研究中心、清华大学x-空间深圳办公室等机构。
The institute also has several research centers, Tsinghua University X-Space Shenzhen office, etc.
研究院计划于2025年之前招收长聘教授10名，现有长聘教授4名。
The institute has four tenured professors with three of them having chair professorship. The institute plans to recruit ten tenured professors by 2025.
清华大学科技金融团队由清华大学经管学院讲席教授带领，目标是在数学和统计学的基础上，对金融人工智能、金融资产定价、量化交易等主题做国际领先的研究。团队负责人目前是国际顶级期刊（Information Systems Research）的高级主编，是国家级讲席教授。负责人的论文发表在多个国际顶级期刊上，总引用量超过8000次。
The FinTech research team of Tsinghua University is led by a chair professor of Tsinghua School of Economics and Management. The goal is to conduct research, relying on tools in mathematics and statistics, on financial artificial intelligence, financial asset pricing, quantitative trading and other cutting edge research topics. The principle investigator of the team is a national level chair professor who is now a Senior Editor of a leading international journal, Information Systems Research. His papers have appeared in the most prestigious international journals and his works have been cited more than 8000 times.
团队目前聚焦研究如何应用数学、统计学、物理学、计量经济学和机器学习等工具，建立和修正金融资产定价模型。项目组主要的工作是研究算子搜索式人工智能算法理论，开发算子搜索式人工智能算法支持系统，并且将以上研究和软件应用于金融市场数据中，利用量化算法挖掘并且理解金融市场的规律以及原理，将所开发的软件和算法投入工业界作生产。项目组期望开拓出能更好结合领域专家提供的逻辑规律与强大人工智能算法的实践范式，为人工智能算法更稳健、透明、可控、高效作出学术和应用的贡献。
The team currently focuses on the application of mathematics, statistics, physics, econometrics and machine learning tools to build and modify financial asset pricing models. The main focus of the project team is to study the theory of operator-searching AI algorithms, develop an operator-searching AI algorithm support system, and apply the above research and software to financial market data, using quantitative algorithms to mine and understand the laws and principles of financial markets, and putting the developed software and algorithms into industrial production. The project team expects to develop a practical paradigm that better combines the logical laws provided by domain experts with powerful AI algorithms, and to make academic and applied contributions to more robust, transparent, controllable, and efficient AI algorithms.
We invite relevant talents involved in these disciplines to join us and create the future together.
Scientific Computing Operator Research-1 Postdoc
岗位职责
Responsibilities
01 参与研究算子计算网络的数学理论
Participate in the study of the mathematical theory of operator computing networks
02 参与设计、研究、开发适合特征提取的算子并且分析算子数学特性
Participate in the design, research and development of operators for feature extraction and analysis of the mathematical characteristics of the operators
任职要求
Qualifications
01 具有数值分析、科学计算、机器学习等相关理论专业博士学历
Doctor degree in numerical analysis, scientific computation, machine learning, etc.
02 具备较强的理论推理能力和编程能力
Strong theoretical reasoning ability and programming ability
03 在科学计算算法设计方面具有一定研究经验
Some research experience in scientific computing and algorithm design
04 具备独立攻关/团队协作和快速学习的能力
Ability to work independently/ability for team collaboration and learning quickly
Operator Machine Learning Algorithm Development-1 Postdoc
Participate in the development of scientific computing system(C++)
Participate in the development of operator implementation based on high performance parallel computing
Participate in the research and development of machine learning algorithm based on operator learning
01 具有机器学习、科学计算、计算系统设计等相关工程专业博士学历
Doctor degree in machine learning, scientific computing, computing system design, etc.
Strong programming ability and software system design ability
03 在机器学习算法开发、机器学习计算系统开发方面有一定工程经验
Some engineering experience in machine learning algorithm development and machine learning computing system development
Ability to work independently/ability for team collaboration and learning quickly
Quantitative Finance Research-2 Postdocs
01 参与研究量化金融领域专题
Participate in the research on quantitative finance
02 参与研究金融市场的量化指标的数据分布变化关系
Participate in the study of the data distribution of quantitative indicators of financial markets
03 参与研究开发量化金融因子
Participate in the research and development of quantitative financial factors
01 具有统计、物理、金融等相关专业博士学历
Doctor degree in statistics, physics, finance, etc.
02 具有定量化分析金融、经济学问题的相关经验
Relevant experience in quantitative analysis of financial and economic issues
03 具有一定的量化金融模型开发经验
Some experience in developing quantitative financial models
宏观经济学/金融市场研究 - 博士后 1名
Macroeconomics/Financial Market Research-1 Postdoc
01 参与研究机器学习在金融领域的应用
Participate in the research on the application of machine learning in the field of finance
02 参与研究量化分析宏观经济指标
Participate in the quantitative analysis of macroeconomic indicators
03 参与撰写政府政策报告
Participate in the preparation of government policy reports
01 具有金融，经济等相关专业博士学历
Doctor degree in finance, economics or related fields
02 具有定量化分析金融、经济学问题的相关经验
Relevant experience in quantitative analysis of financial and economic issues
03 具有撰写政府政策报告的经验
Experience in writing government policy reports
请有意者将简历发送至
profmikezhang@163.com
。
Please send your CV to profmikezhang@163.com.
邮件主题务必命名为：
候选人姓名+科技金融+意向岗位
Be sure to name your email subject: candidate name + FinTech + position of interest.
清华大学数字经济团队由清华大学经管学院讲席教授带领，目标是在数字经济，数据合规使用等领域做国际领先的研究。团队负责人目前是国际顶级期刊（Information Systems Research）的高级主编，是国家级讲席教授, 以及国际信息系统协会副主席（亚太地区）。负责人的论文发表在多个国际顶级期刊上。教授在国际学术期刊和会议上发表论文60余篇，其中多篇发表在Information Systems Research，Management Science, Marketing Science, Production and Operations Management, Informs Journal on Computing等管理学国际顶尖期刊。其研究成果已经被用于主流商业模式的实际应用中，并取得显著成效。
The Digital Economy team of Tsinghua University is led by a chair professor of Tsinghua School of Economics and Management. The goal is to conduct research in cutting edge topics such as digital economy and data governance. The principle investigator of the team is a national level chair professor who is now a Senior Editor of a leading international journal, Information Systems Research. She also serves as VP (Region 3) for Association for Information Systems (AIS). Her papers have appeared in the most prestigious international journals. The professor has published more than 60 papers in international academic journals and conferences, many of which have been published in international leading management journals such as Information Systems Research, Management Science, Marketing Science, Production and Operations Management, INFORMS Journal on Computing. Her research results have been applied to the practical application of the mainstream business model, and achieved significant results.
教授长期以来关注数字经济相关课题，包括数字技术带来的商业及政策挑战，以及IT对信息环境带来的新变化。如区块链，NFT与创新，数据治理与数据确权，在线内容创造与在线评论，等等。
She has long been concerned with issues related to the digital economy, including business and policy challenges brought about by digital technology, and new changes brought about by IT to the information environment such as blockchain, NFT and innovation, data governance and data validation, online content creation and online commentary, and so on.
We invite relevant talents involved in these disciplines to join us and create the future together.
Positions
Digital Economy-2 Postdocs
Participate in the research on the application of machine learning in the field of finance
Participate in the quantitative analysis of macroeconomic indicators
Participate in the preparation of government policy reports
01 具有经济学，管理科学，市场营销学等相关专业博士学历
Doctor degree in economics, management science, marketing or related fields
Relevant experience in quantitative analysis economic or business issues
Relevant machine learning experiences
Experience in writing government policy reports
请有意者将简历发送至
juan.feng@sz.tsinghua.edu.cn
Please send your CV to juan.feng@sz.tsinghua.edu.cn
邮件主题务必命名为：
候选人姓名+数字经济+意向岗位
Be sure to name your email subject: candidate name +Digital+ position of interest