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2020/10/24 10:50:38
方式:电子邮件
需求学科(供参考):计算机与软件类 数学 统计学


Profile
Dr. XU Cong, an assistant professor of Department of Statistics and Data Science, SUSTech, obtained her PhD degree in Statistics from University of California, Davis in 2014. She worked as a Postdoctoral Researcher in Plevritis Lab, School of Medicine, Stanford University from 2015 to 2017. Her research interests include Survival Analysis, Design of Clinical Trials and Computational Statistics. She has published papers in top tier journals like Journal of Statistical Software, Biostatistics, JAMA, etc.
The research team is seeking exceptional candidates for full time, academic research position at the rank of research and teaching assistant. Salary is highly competitive based on performance. Relying on Department of Statistics and Data Science, the team has been making the upmost effort to create a free and flexible theoretical research environment, and a good experimental platform with an international research vision.
● Research Assistant
Research Areas: Statistics, Mathematics, Computer Science and other interdisciplinary areas in related fields.
Job Requirements:
1.    With a strong spirit of teamwork and a good command of English.
2.    Good at or have interest in machine learning algorithms. A solid foundation in Python/R or any other data analysis programming language.
3.    Bachelor’s degree or Master’s degree from prestigious universities domestic and abroad is preferred.
4.    Candidates with strong research interest in Survival Analysis, Design of Clinical Trials, Neural Network and Traditional Statistical Model, etc. are preferred.
To apply:
If you are interested in the position, please send the following application materials to Miss Teng (tengyr@mail.sustech.edu.cn) with the email subject “Research and Teaching Assistant -Your Name -Your Major - gaoxiaojob”.
Application should include:
-Resumes (PDF format) in English or Chinese
-Academic Transcripts (PDF format) in English or Chinese (if available)
-Personal statement
-The earliest on-board time
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