纽约大学stern商学院的兼职科研助理机会
纽约大学stern商学院的兼职科研助理机会,隶属营销科学系和管理信息系统系。
Research Assistant/Associate Job Description
NYU Stern – Quantitative Marketing & Information System Basic Description
My name is Hongxian Huang, a second-year Ph.D. student at NYU Stern. My advisors are Professor Anindya Ghose (Marketing & IS), Professor Masakazu Ishihara (Marketing), and Professor Runshan Fu (Marketing & IS). My current research projects mainly focus on topics such as Online Platform, Generative AI, and general consumer behavior-related topics, by using methodologies from different disciplines such as structural modeling (main), statistical modeling (main),
applied causal inference (main), deep learning, and analytical modeling.
I am now seeking 1-2 qualified undergraduate and/or graduate research assistants to assist my research projects with my advisors and other co-authors. Please do not hesitate to send you CV to my e-mail: hh1643@stern.nyu.edu. I will schedule Zoom meetings with qualified candidates to learn more about your motivations, career plans, and other thoughts.
Minimum qualifications/requirements
• Proficiency in R and/or STATA
• Proficiency in Python (Bonus)
• Micro-Economics and Econometrics coursework, at least at undergraduate level.
• Basic Mathematics and Statistics coursework: Calculus, Multi-variate Calculus, Linear Algebra, Probability,
and Statistics.
• Proficiency in basic data analysis techniques, such as cleaning and manipulating data, providing summary statistics, and running generalized linear models.
While a research assistant is expected to contribute in many ways to the research project, typical responsibilities include the following:
• Conduct literature reviews.
• Collect and analyze data.
• Attend project meetings with both me and my advisors.
• Other issues such as communicate with local data providers in China.
What you can expect from this position:
• Solid training in conducting academic research.
• Detailed training in building structural and statistical models.
• Recommendation letter.
• Writing sample under my guidance.
• (Only for excellent RAs) Coauthor-ship.