Post-doctoral Fellow in the Department of Statistics and Actuarial Science
- Recruiter
- THE UNIVERSITY OF HONG KONG
- Location
- Pok Fu Lam, Hong Kong
- Posted
- 20 Jul 2023
- End of advertisement period
- 31 Oct 2023
- Ref
- 522418
- Academic Discipline
- Engineering & Technology, Computer Science, Physical Sciences, Mathematics & Statistics
- Job Type
- Academic Posts, Postdocs
- Contract Type
- Fixed Term
- Hours
- Full Time
Work type: Full-time
Department: Department of Statistics and Actuarial Science (25900)
Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff
Applications are invited for appointment as Post-doctoral Fellow in the Department of Statistics and Actuarial Science (Ref.: 522418), to commence as soon as possible for one year, with the possibility of renewal.
Applicants should possess a Ph.D. degree in statistics, mathematics, or computer science, with a strong background and experience in statistical machine learning, high-dimensional statistics and optimization. Applicants with publications in top statistics/machine learning journals or top machine learning conferences are preferred. The appointee will conduct research with Dr. Long FENG and Dr. Yuan CAO. Information about Dr. Feng, Dr. Cao and the Department can be obtained at https://lfengstat.github.io/, https://yuancaohku.github.io/ and https://saasweb.hku.hk/ respectively.
A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income.
Applicants should send a cover letter (including information on availability), a C.V., a list of publications and a research statement in this order as a single PDF to Dr. Feng at lfeng@hku.hk. They should also arrange two reference letters to be sent to Dr. Feng (e-mail: lfeng@hku.hk) directly by the referees. Review of applications will commence as soon as possible and continue until October 31, 2023, or until the post is filled, whichever is earlier.
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