Post-doctoral Fellow in High-dimensional Statistics, Machine Learning or Random Matrix Theory (Chinese version)
Applications are invited for appointment as Post-doctoral Fellow in High-Dimensional Statistics, Machine Learning or Random Matrix Theory, to commence as soon as possible for at least 21 months.
Applications should possess a Ph.D. degree in Statistics, Computer Science or related fields with expertise in statistical theory and programming. The appointee will conduct research in the group of Dr. Zhaoyuan Li and Prof. Jianfeng Yao (HKU). Current topics of the group include high-dimensional statistics, random matrix theory, machine learning and interdisciplinary research.
A highly competitive salary (350K+ RMB annual salary after tax) commensurate with qualifications and experience will be offered. Appointments will be made under the establishment of CUHK-Shenzhen, and employee benefits will be provided according to the relevant labor laws of Mainland China. Subsidies from various government sponsored talent programs will also be made available for eligible candidates.
Interested graduate applicants should email a current CV, sample publication or manuscript, short description of research interests (2 pages or less), and names of 3 references. Undergraduate applicants should have a strong mathematical or computational background, broad knowledge in statistical methods, and experience with large data sets.