Recruitment

Contact Information

Name:Ms. Li

Phone:

Email:stat-ds@sustech.edu.cn

Opening for Research Assistant, Research Scholar on Data Science

Yifang Ma, Ph.D., is an Assistant Professor at Department of Statistics and Data Science of Southern University of Science and Technology (SUSTech). He earned his Ph.D. in mathematics in 2016 from School of Mathematical Sciences, Peking University. He was a postdoctoral research fellow at the Northwestern Institute on Complex Systems (NICO) and Kellogg School of Management, Northwestern University from 2016 to 2019. His research focuses on Network Science, Data Science and Computational Social Science, and he has published papers in top tier journals like Nature, PNAS, Nature Physics, The Journal of the American Medical Association (JAMA), Physics Reports, etc.

 

The research team is seeking exceptional candidates for full time, academic research position at the rank of research assistant, research scholar, and postdoctoral research fellow. Salary is highly competitive based on performance. Candidates will work on topics related to Science of Science, Computational Social Science, Network Science, AI, etc. Our priority is to attract technically strong researchers who are interested in asking new questions with data and enthusiastic to work with data.

 

  •  Research Assistant

Research Areas: Applied mathematics, computer science, econometrics 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 social network analytics, block chain, financial technology, computational social science, data visualization and etc. are preferred.

 

Benefits and Rewards:

  1. Monthly salary is about 5000-10000 CNY. Salary is highly competitive for talented candidates. Performance bonus is available to successful candidates.

  2. National holidays, paid annual leave and benefits from SUSTech including subsidy for meals, hot weather, festivals, free body check and other benefits required by the law.

  3. Good space for personal growth and development. If qualified, the candidates are recommended to apply for a PhD position at SUSTech with a higher priority.

 

  •  Research Scholar

Research Areas: Applied mathematics, computer science, econometrics and other interdisciplinary areas in relating fields.

 

Job Requirements:

  1.  An earned Ph.D. in the above-mentioned research areas. Candidates with a Ph.D. degree from prestigious universities domestic or abroad are preferred.

  2. With strong research abilities and can independently conduct tasks including data mining, analysis, modelling, etc.

  3. Good at or have interest in machine learning algorithms. A solid foundation in Python/R or any other data analysis programming language.

  4. Candidates with solid research background in social network analytics, block chain, financial technology, computational social science, data visualization, etc. are preferred.

 

Benefits and Rewards:

  1. Annual salary is about 150,000 - 300,000 CNY.

  2. National holidays, paid annual leave and benefits from SUSTech including subsidy for meals, hot weather, festivals, free body check and other benefits required by the law.

  3. Good space for personal growth and development.


To apply:

If you are interested in the position, please send the following application materials to Mrs Zhou (zhouzd3@mail.sustech.edu.cn) with the email subject “Research Assistant/Research Scholar/Postdoctoral Research Fellow -Your Name -Your Major”.

Application should include:

-Resumes (PDF format) in English or Chinese

-Academic Transcripts (PDF format) in English or Chinese (if available)

-Personal statement

-Research statement (Only for Postdoctoral Research Fellow)

-The contact information of three recommenders (Only for Postdoctoral Research Fellow)

-The earliest on board time

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