The Department of Statistics invites applications from undergraduates in CC, GS, SEAS, and Barnard College, to the Summer Internship Program.
Intern positions are available on the following projects.
Project Title: Investigating Temporal Properties of Financial Objects Through Statistical Learning
Project Description: Investigating the predictive nature of a financial object is a difficult and continuously evolving problem. To fully understand a financial objects’s predictive nature is obviously a false hope; however, any interesting and useful information about the object’s predictive behavior will always remain valuable to both academia and the private sector. The goal of this project is to identify important predictive indicators of several financial object’s through time. To accomplish this task, several methods from both traditional time series analysis and modern statistical learning will be utilized. We seek to identify important market indicators based on statistical properties such as predictability and stationarity.
Project Description: We have a number of applied research projects that can offer summer research experience for undergraduate students. These include, but are not limited to, applying spectral filtering algorithms to understand neural dynamics, analyzing large networks such as email networks and citation networks, and text mining of comments on social media. Desired skill set includes linear algebra, calculus, statistics, R/Matlab/Python.
The internship takes place from May 28 through July 5; interns receive a stipend of $3,000 and are housed in undergraduate dormitories during the internship period.
To be considered for a position, please submit a cover letter, resume/CV, and transcripts to Dood Kalicharan in Room 1005 SSW, or email to email@example.com
, by Friday, April 19.