南方科技大学统计与数据科学系招聘AI和大数据方向博士后
PIs at SUSTech
Prof. Bing-Yi JING (荆炳义讲席教授)
Prof. Jing received his Ph.D degree in Statistics from University of Sydney in 1993. He was a postdoctoral fellow at Australian National University from 1992-1994, supervised by the world well-known Statistician Prof. Peter Hall. He worked at Hong Kong University of Science and Technology as Professor at the Department of Mathematics and Director of the Center for Statistical Science from 1994-2022. Prof. Jing is now a chair professor at the Department of Statistics and Data Science at Southern University of Science and Technology (SUSTech), the head of the Big Data Institute at SUSTech. His research interests include Probability and Statistics, Financial Econometrics, Reinforcement Learning, Network Data Analysis, Bioinformatics and etc. He undertook many pioneering research in several fields and achieved groundbreaking results. He has published over 100 papers and his research work appeared in many high-impact scientific journals. Prof. Jing was awarded the State Natural Science (Second Class) in 2015, the Research Excellent in Natural Science by the Ministry of Education of China both in 2010 and 2015. Prof. Jing was a Fellow at American Statistical Association (ASA), Institute of Mathematical Statistics (IMS), an elected member at International Statistical Institute (ISI), the head of Chinese Association for Applied Statistics-Transition of the Professional Committee on Multivariate Analysis Application. He was associate editors for 7 international journals.
In early December 2023, Prof. Jing's group, together with IDEA (International Digital Economy Academy), released the 34B Chat model, which had super strong multi-round dialogue capabilities. It ranked first in the Open LLM Leaderboard supported by the Hugging Face community in the United States, which is dedicated to tracking, ranking, and evaluating the performance of large language models. At the same time, it topped the Open compass list of models of the same scale released by Shanghai AI Lab, becoming one of the most advantageous open-source 34B instruction fine-tuning models at that time.
For more detailed information, please refer to the homepage:
https://faculty.sustech.edu.cn/?tagid=jingby&iscss=1&snapid=1&orderby=date&go=2.
荆炳义，南方科技大学统计与数据科学系科研副系主任、讲席教授、南方科技大学大数据创新中心主任。于1993年在悉尼大学获得统计学博士学位，1992-1994 年在澳洲国立大学做博士后，师从国际著名统计学家Peter Hall 教授。1994-2022年在香港科技大学工作，任数学系教授、统计科学中心主任。荆炳义研究兴趣广泛，包括概率论与数理统计，金融计量及高频数据分析，机器学习理论与算法，生物信息，网络数据分析，强化学习等。他在各领域中有许多开创性研究，取得了很多突破性科研成果。共发表论文100余篇。荆炳义教授荣获2015年度国家自然科学奖二等奖, 教育部特聘教授，及两年度(2010，2015)获教育部高等学校自然科学奖二等奖。荆炳义教授是美国统计协会(ASA)和数理统计协会(IMS)会士(Fellow)，国际统计学会(ISI)当选会士，泛华统计协会理事会成员，中国现场统计研究会多元分析应用专业委员会理事长，并先后分别担任七家国际期刊副主编。
2023年12月初，荆炳义教授课题组联合IDEA研究院发布34B Chat模型，具备超强多轮对话能力，在由美国Hugging Face社区支持的、致力于追踪、排名和评估大语言模型性能的开放大语言模型排行榜（Open LLM Leaderboard）中占据榜首，同时登顶上海AI Lab发布的Opencompass榜单同规模模型榜首，成为当时最具优势的开源34B指令微调模型之一。
更多详细信息请参考学术主页：(荆炳义 - 教师个人主页 - 南方科技大学)
https://faculty.sustech.edu.cn/?tagid=jingby&iscss=1&snapid=1&orderby=date&go=2
Prof. Hongxin WEI（魏鸿鑫助理教授）
Prof. Hongxin Wei is an Assistant Professor (Principal investigator, PhD supervisor) at the Department of Statistics and Data Science at SUSTech. He obtained Ph.D. degree at the School of Computer Science and Engineering, Nanyang Technological University, supervised by Prof. Bo An. He work as a visiting scholar in the group of Prof. Sharon Yixuan Li at the University of Wisconsin Madison in 2022. Previously he spent a wonderful year as a research assistant in the Institute for Interdisciplinary Information Sciences at Tsinghua University. Prior to that, Prof. Wei received his B.E. in Software Engineering from Huazhong University of Science and Technology in 2016. Prof. Wei has published about 20 academic papers in CCF A-class top international conferences or journals such as ICML, NeurIPS, CVPR, AAAI, TKDE, etc. in the past three years. He currently serves as a member of the program committee for top academic conferences such as ICML, NeurIPS, ICLR, CVPR, KDD, IJCAI, and as a reviewer for top journals such as TPAMI, IJCV, TNNLS, and PR.
Prof. Wei’s research interest falls in the scope of Open World Machine Learning, Robust Deep Learning, AI Safety and Alignment, Data-centric Artificial Intelligence. The goal of his research is to build a reliable learning system, which can work safely and adaptively in the presence of unexpected data conditions across the entire pipeline. His research is closely related to data-centric machine learning and foundation model. For more detailed information, please refer to the homepage: https://hongxin001.github.io/
魏鸿鑫，南方科技大学统计与数据科学系助理教授 / 博士生导师 / 独立PI，他的研究方向主要包括人工智能的数据优化和可靠性研究。其课题研究的长期目标在于构建可靠的机器学习系统，使其能在各阶段不可预知的数据条件下安全可靠地运行。魏鸿鑫老师于2023年在新加坡南洋理工大学完成博士学位，于2016年在华中科技大学获得本科学位。他曾在清华交叉信息研究院担任研究助理，读博期间曾在美国威斯康辛大学麦迪逊分校进行研究访问。他近四年在 ICML, NeurIPS, CVPR, AAAI, TKDE 等 CCF A 类顶级国际会议或期刊上发表学术论文约三十篇，其工作受到工业界和学术界的广泛关注。学术兼职方面其目前已担任NeurIPS领域主席，ICML, ICLR, CVPR, KDD, IJCAI等顶级学术会议的程序委员会成员，并在TPAMI, IJCV，JMLR等顶级期刊担任审稿人， 更多详细信息请参考学术主页：Hongxin Wei @ SUSTech (hongxin001.github.io)。
PI at NUS
Prof. Wang ZHOU (周望教授)
Prof. Wang ZHOU is a full Professor at the Department of Statistics and Data Science at the National University of Singapore (NUS). He has been working at NUS since July 2004 and was appointed as a tenured professor in January 2009. His main research interests include random matrices, SLE, high dimensional statistic. In recent years, Prof. Zhou has published more than 70 papers; more than ten papers have been published in internationally recognized top journals in the fields of probability statistics, including Annals of Statistics, Journal of American Statistical Association, Biometrika, Annals of Probability, Probability Theory and Related Fields, and Annals of Applied Probability. He was elected as an Elected Member of the International Statistical Institute in 2012, and he has led over ten Singapore government fund projects since 2005. For more detailed information, please refer to the homepage: https://www.stat.nus.edu.sg/wang-zhou/
周望, 2004年7月起在新加坡国立大学统计系任教，并于2009年1月获终身教授。现为新加坡国立大学正教授。主要研究方向为: random matrices, SLE, high dimensional statistics。近年来发表有较高学术水平的论文七十多篇。其中在概率统计学方面的国际公认的顶尖杂志Annals of Statistics, Journal of American Statistical Association, Biometrika, Annals of Probability, Probability Theory and Related Fields, Annals of Applied Probability上发表论文十余篇。2012获得国际统计学会当选成员（Elected Member of International Statistical Institute）。2005年起主持新加坡政府基金项目十余项。
周望教授个人网页：https://www.stat.nus.edu.sg/wang-zhou/
The project team is looking for one postdoctoral researcher. The details are listed follows.
项目组现公开招聘博士后1名；具体岗位信息如下：
Job Requirements:
1. Applicants should possess a Ph.D. degree (graduated or will defense soon) in Statistics, Mathematics, Computer Science, Electrical Engineering, Automation or a related field.
2. Applicants with experience in publishing high-level papers or participating in related projects in the field of artificial intelligence and large language models will be given priority.
3. Excellent programming skills, particularly in Python and PyTorch, coupled with strong English writing and independent research abilities.
4. Possesses strong independent innovation abilities and a passion for technological research and innovation.
5. Strong responsibility and excellent teamwork spirit.
岗位要求:
1. 博士期间的专业方向是统计、数学、计算机科学、电气工程、自动化等，相关背景在相关专业已毕业或者即将毕业的博士，双一流/境外名校毕业生优先。
2. 在人工智能及大模型领域发表过高水平文章者或者主持（或参与）过具体项目者优先。
3. 具备熟练使用Python和Pytorch的编程能力，具备较强的英语写作能力，具有较强的科研能力，能独立完成科研流程。
4. 思维活跃、创新能力强、具有强烈的技术创新和研发热情。
5. 责任心强，良好的团队意识。
Benefits and Rewards:
1. The postdoctoral tenure period is two years. We offer an annual salary starting at 330,000 RMB, including a living allowance of pre-tax 150,000 RMB from Guangdong Province and 60,000 RMB from Shenzhen City. Meanwhile, we provide endowment insurance and a provident fund in accordance with Shenzhen’s regulations. Other welfare fees are also given, referring to the university’s standards for faculty and staff.
2. Outstanding applicants can apply for the Principal's Distinguished Postdoctoral Fellowship, with an annual salary of over 500,000 RMB (including living allowances from Guangdong Province and Shenzhen City).
3. Postdoctoral researchers can apply for public rental housing in Shenzhen based on the university's support. We provide a pre-tax housing allowance of 2,800 RMB per month for two years for those who do not apply for public rental housing in Shenzhen through the university.
4. We offer an excellent working environment and opportunities for domestic and international academic cooperation and exchange. Postdoctoral researchers will be provided a total of 25,000 RMB for academic exchange during their two-year tenure.
5. We will assist postdoctoral researchers to apply for the Postdoctoral Talent Project. Upon successful application, the postdoctoral fellow can enjoy Up to a total subsidy of 1 million RMB (can not enjoy simultaneously the living allowance from both Guangdong Province and Shenzhen City).).
6. Postdoctoral researchers who choose to stay in Shenzhen to engage in scientific research after their tenure, and sign a labor (employment) contract of more than 3 years with enterprises and institutions in the city, can apply for Shenzhen Postdoctoral Stay-in Shenzhen Research Funding. The Shenzhen Municipal Government provides each person with 100,000 RMB in research funding per year, for a total of three years (according to the latest application requirements of Shenzhen City).
7. According to the Implementation Measures for the Living Allowance for Newly Introduced Talents with Ph.D. degree in Shenzhen, the living allowance for people with Ph.D. degree (100,000 RMB) can not be enjoyed simultaneously with the living allowance for postdoctoral researchers at the provincial and municipal levels.
待遇与福利
1. 博士后聘用期两年，年薪33万元起，含广东省生活补贴15万元（税前）及深圳市生活补贴6万元，并按深圳市有关规定参加社会保险及住房公积金。博士后福利费参照学校教职工标准发放。
2. 特别优秀候选人可以申请校长卓越博士后，年薪可达50万元以上。（含广东省及深圳市在站生活补贴）。
3. 在站期间，可依托学校申请深圳市公租房，未依托学校使用深圳市公租房的博士后，可享受两年税前2800元/月的住房补贴。
4. 拥有优良的工作环境和境内外合作交流机会，博士后在站期间享受两年共计2.5万学术交流经费资助。
5. 课题组协助符合条件的博士后申请博士后人才项目。如成功申请，最高可享受总计100万元补贴（与广东省及深圳市在站博士后生活补贴不同时享受）。。
6. 博士后出站选择留深从事科研工作，且与本市企事业单位签订3年以上劳动（聘用）合同的，可以申请深圳市博士后留深来深科研资助。深圳市政府给予每人每年10万元科研资助，共资助3年（以深圳市最新申报要求为准）。
7. 根据《深圳市新引进博士人才生活补贴工作实施办法》规定，新引进博士人才生活补贴（10万元）与省市博士后在站生活补贴不同时享受。
Application Process
To apply for this position, please submit the following documents:
1. Curriculum vitae (CV) detailing your educational background, transcript, research experience, publications and any other relevant information.
2. At least 2 representative papers.
All the materials needed for application should be integrated into a PDF document, and sent to lil36@sustech.edu.cn with the subject line: " SUSTECH&NUS JOINT RESEARCH PROJECT - Postdoctoral Application - [Your Name] – [Your Major]".
申请流程
如果您想申请这个职位，请提交以下文件：
1. 详细介绍您的教育背景、成绩单、研究经验、出版物和任何其他相关信息的简历。
2. 至少2篇代表性论文。
所有申请材料请整合成一个PDF文件，并发送到李兰lil36@sustech.edu.cn，邮件标题请注明：" SUSTech&NUS联合研究项目 - 博士后申请 - [您的姓名] – [您的专业]"。
You can contact Prof. Bing-Yi JING(jingby@sustech.edu.cn) or Prof. Hongxin WEI (weihx@sustech.edu.cn) for an informal enquiry.