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Careers at IDS

Post-doctoral Fellow in Optimization/Machine Learning

Position

Applications are invited for the appointment as Post-doctoral Fellow in the Department of Mathematics and HKU Musketeers Foundation Institute of Data Science (HKU-IDS), to commence as soon as possible no later than fall 2022 for at least one year, with the possibility of renewal subject to satisfactory performance. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

Qualification

  • They should have research background in optimization or machine learning. Applicants with research areas in stochastic or nonconvex optimization are preferred, while individual research interests will also be taken into consideration.
  • Applicants should possess a Ph.D. degree in Mathematics, Computer Science, Industrial Engineering or a related area.
  • Applicants with extensive research experience, strong skills in mathematics are welcome to apply. Proficiency in coding languages such as MATLAB, Python or R is preferred.

Application

An up-to-date C.V., a cover letter, a list of publications and 2 academic references are required. If interested, the applicants may email their C.V. and a cover letter to Dr. Yue Xie (yxie21@hku.hk) first. Any enquiry can be sent to the same email address.

About the mentor

The appointee will be working under the supervision of Dr. Yue Xie, who joined Department of Mathematics and HKU-IDS at HKU in November, 2021 as a research assistant professor. He was a postdoc at UW Madison working in the nonconvex optimization group led by Professor Stephen J. Wright. He received his PhD degree in Pennsylvania State University and Bachelor degree from Tsinghua University. Dr. Yue Xie has been focusing on algorithm design and analysis to address nonconvex and stochastic optimization problems with all types of applications including machine learning and data science. He has published/served as the referee of top-tier journals including Mathematical Programming, SIAM Journal on Optimization, and IEEE Transactions on Automatic Control, etc. He has delivered numerous presentations at major international conferences such as International Conference on Continuous Optimization (ICCOPT), International Symposium on Mathematical Programming (ISMP), SIAM Conference on Optimization and International Conference on Machine Learning (ICML). More details about him can be found at: https://yue-xie.github.io.