December 13, 2023---until the position is filled
A postdoctoral position is available for a high-dimensional multi-source data modeling project or for a non-Euclidean data analysis at Seoul National University.
Responsibilities
The postdoctoral researcher will engage in methodological developments under the guidance of Sungkyu Jung. Sample topics include but are not limited to theoretical investigations for generalized principal component analysis, algorithm development and implementation for sparse estimation of multi-source integrative models, and statistics for non-Euclidean data. Successful candidates are welcome to bring their own research agenda.
Position Qualifications
Ph.D. degree in statistics, biostatistics, computer science, or related quantitative fields. The following skills are desirable but not all of them are required: excellent methodological training in statistics and/or machine learning; excellent programming skills in R, Matlab, or Python; excellent writing and oral communication skills.
The starting date is negotiable. If desired, the successful candidate can start immediately. Funding is secured for at least two year, thanks to Samsung Science & Technology Foundation and National Research Foundation.
Salary Range: Competitive
Application Instructions
Please send the application with a cover letter, CV, and contact information to sungkyu@snu.ac.kr.