学界|南科大风险院Didier Sornette院士等诚聘数量金融与复杂系统方向博士研究生

风险分析预测与管控研究院是由南方科技大学与瑞士苏黎世联邦理工学院于2019年共同成立的联合研究院，由中科院院士、南方科技大学地球与空间系系主任陈晓非教授和欧洲科学院院士、瑞士工程院院士、苏黎世联邦理工学院企业风险系系主任Didier Sornette教授联合领导，致力于搭建一个革命性的动态风险管理平台，以交叉学科和数据驱动的方法为基础，发展应对不同自然和社会系统中极端风险的实时动态监控、模拟仿真、趋势分析和预警预测工具。研究院主要方向包括金融与经济系统风险、自然灾害、能源安全、公共健康、重大基础设施、社会动态与稳定等高度跨学科交叉的方向。

The Institute of Risk Analysis, Prediction and Management (Risks-X), is a research institute co-founded by SUSTech and ETH Zurich in 2019. Led by Prof. Didier Sornette, member of the Academia Europaea, fellow of the Swiss Academy of Engineering Sciences as well as Full Professor of Entrepreneurial Risks at the Department of Management, Technology and Economics at ETH Zurich, and Prof. Chen Xiaofei, the Academician of Chinese Academy of Sciences as well as initiatory departmental head of Earth and Space Sciences, Risks-X is committed to establishing a revolutionary management platform for dynamic risks and developing tools of real-time monitoring, analog simulation, meta-analysis and prediction and early warning responding to various extreme risks in the natural and social system based on interdisciplinary studies and data-driven approach. Risks-X mainly involves in the studies of six highly-interdisciplinary domains, including risks of financial and economic system, natural disasters, energy security, public health, major infrastructure, social dynamism and stability.

Didier Sornette院士简介：

Didier Sornette，欧洲科学院院士、瑞士工程院科学院院士，南方科技大学风险分析预测与管控研究院联席院长和讲席教授，瑞士苏黎世联邦理工学院创业风险中心、地球科学学院、物理学院讲席荣休教授，全球金融危机监测站主任，ETH风险中心联合创始人，瑞士金融研究所金融学教授，美国促进科学会会士（AAAS Fellow），世界创新基金会会士（WIF Fellow）。Sornette教授在复杂系统与极端风险管控领域是世界级的开拓者，在复杂系统、统计物理学、地球物理学和经济物理学等学科领域是世界知名的领导者。他提出了“龙王”极端事件理论，运用严谨的数据驱动的数理统计分析方法，对复杂系统不稳定性和各类极端风险进行识别、控制和预测，将成果成功应用到了金融风险、地震预测、核能安全、网络信息安全、社会网络、医学等一系列复杂系统中。

Didier Sornette, member of the Academia Europaea, Fellow of the Swiss Academy of Engineering Sciences, Co-dean and Chair Professor of the Institute of Risk Analysis, Prediction & Management (Risks-X) at Southern University of Science and Technology, Professor Emeritus at ETH Zurich, Professor on the Chair of Entrepreneurial Risks, associated with the Department of Earth Sciences (D-ERDW) and the Department of Physics (D-PHYS), ETH Zurich, Director of the Financial Crisis Observatory, Co-founder of the ETH Risk Center, Member of the Swiss Finance Institute, Fellow of the American Association for the Advancement of Science (AAAS), and Fellow of the World Innovation Foundation (WIF). Prof. Sornette is a pioneering figure in the domain of complex systems and extreme risk management. He is renowned as a leader in various disciplines like complex systems, statistical physics, geophysics, and econophysics. His “Dragon-King” theory of extreme events, coupled with rigorous data-driven statistical analysis methods, identifies, mitigates, and predicts instability in complex systems and various types of extreme risks. His work has been successfully applied to financial risks, earthquake prediction, nuclear safety, network and information security, social networks, medicine, and other complex systems.

Sornette教授已连续五年入选斯坦福大学《全球前2%顶尖科学家榜单》的“终身科学影响力”榜单和“年度科学影响力”榜单。他已发表学术论文800余篇，出版专著15本，谷歌学术引用次数超过57000次，H-index引用指数达到118。近5年，Sornette教授持续奋战在科研一线，每年发表20-40篇学术论文，每年平均被引超过3000次。 

For five consecutive years, Prof. Sornette has been listed in the “Career-long Impact” and “Single Recent Year Impact” of the Stanford University “Top 2% Scientists in the World”. He has authored over 800 academic papers, published 15 monographs, with over 57,000 citations on Google Scholar and an H-index of 118. In the past five years, Prof. Sornette has continued to be at the forefront of research, publishing 20-40 academic papers annually, with an average yearly citation exceeding 3000.

他还曾在多家世界知名航空航天企业、银行、基金和再保险公司担任过专家顾问等角色，包括美国银行首席风险顾问、美国洛斯阿拉莫斯国家实验室专家顾问、法国再保险集团科学基金会董事会成员等。

He has also served as an expert consultant for several world-renowned aerospace companies, banks, funds, and reinsurance companies, including roles such as Chief Risk Advisor for Bank of America, Expert Consultant at Los Alamos National Laboratory, and Board Member of the Scientific Foundation of SCOR, a leading global independent reinsurance company.

Sandro Lera助理教授简介：

南方科技大学商学院、风险分析预测与管控研究院助理教授，博士生导师，美国麻省理工学院访问学者。研究方向为社会经济系统数据挖掘、金融物理、复杂系统等。Sandro Lera于2018年取得苏黎世联邦理工学院经济管理技术与工程系的博士学位。毕业后曾在美国麻省理工学院媒体实验室（MIT Media Lab）师从著名数据科学家Alex Pentland任博士后，曾主持参加瑞士国家科学基金，新加坡国家研究基金等项目。在信息科学领域，尤其是在管理科学与复杂系统方面发表了一系列高水平的研究成果，Sandro Lera作为第一/通讯作者在PNAS等期刊上发表论文10余篇，其中部分科研工作被多个杂志媒体报道。此外，Sandro Lera具有算法交易的行业背景，并为多家国际知名公司制定量化交易策略。

Prof. Lera is an Assistant Professor at Business School and the Institute of Risk Analysis, Prediction & Management (Risks-X) at Southern University of Science and Technology, Ph.D. supervisor, and Visiting Scholar at MIT. His research focuses on data mining in socio-economic systems, financial physics, and complex systems. Sandro Lera earned his Ph.D. in Economics, Management, and Technology from ETH Zurich in 2018. Post-graduation, he worked as a postdoctoral researcher under the guidance of renowned data scientist Alex Pentland at the MIT Media Lab, and led projects funded by the Swiss National Science Foundation and Singapore National Research Foundation. He has published a series of high-level research contributions in the field of information science, especially in management science and complex systems, including ten first-author papers in prestigious international journals such as PNAS. Some of his research has been covered by multiple magazines and media outlets. Additionally, Sandro Lera has a background in algorithmic trading and has formulated quantitative trading strategies for several internationally renowned companies.