PIs at SUSTech
Prof. Bing-Yi JING
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.
Prof. Hongxin WEI
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/
PI at NUS
Prof. Wang ZHOU
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/
The project team is looking for one postdoctoral researcher. The details are listed follows.
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.
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.
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]".
You can contact Prof. Bing-Yi JING(jingby@sustech.edu.cn) or Prof. Hongxin WEI (weihx@sustech.edu.cn) for an informal enquiry.
