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Full-time Research Assistant Position (1 year, starting in Spring 2022, renewable)
Recruiter: Prof. Zhitao Yin (http://www.bm.ust.hk/isom/faculty-and-staff/directory/zhitaoyin)
Location: Clear Water Bay campus, Hong Kong
Research Area: Empirical research in the human-machine interaction
Specific Tasks: 1. Conduct large-scale online experiments via Empirica (https://empirica.ly) and Ax (https://ax.dev/).
2. Analyze texts of all revisions in English-language Wikipedia for all pages (about 7 terabytes, https://en.wikipedia.org/wiki/Wikipedia: Database_download)
Expected Qualifications: 1. Bachelor/Master’s degree in Computer Science or related disciplines
2. Proficient in JavaScript and Python
3. Proficient in data collection, data cleaning, and exploratory analysis
4. Web development experience (a plus, not necessary)
5. Data analysis experience via cloud services such as AWS (a plus, not necessary)
Application Before applying for this position, read the two papers below to get a sense of what is to be accomplished in tasks 1 and 2.
Task 1: the paper below uses Empirca to do online experiments
- Almaatouq, A., Alsobay, M., Yin, M., & Watts, D. J. (2021). Task complexity moderates group synergy. Proceedings of the National Academy of Sciences, 118(36)
Task 2: the paper below uses Wikipedia revision data to measure human ideology
- Greenstein, Shane, Grace Gu, and Feng Zhu. "Ideology and Composition Among an Online Crowd: Evidence from Wikipedians." Management Science 67.5 (2021): 3067-3086.
If you are still interested, send your CV to Prof. Yin (zhitaoyin@ust.hk) along with a description of the most complex computing project you have undertaken, and 1-2 paragraphs indicating how you are a good fit to accomplish tasks 1 and 2.
Interviews will be conducted online on a rolling basis.
Note: Starting salary will be commensurate with qualifications and experience. Fringe benefits including annual leave, medical and dental benefits will be provided where applicable.
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发表于 2021-11-4 08:10:09
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