Undergraduate Summer Internship in Applied Statistics

Undergraduate Summer Internship in Applied Statistics The Department of Statistics has six summer internship openings in applied statistics. The internship takes place during first six-week summer session (the D period) of 2010. Any Columbia College, SEAS, GS, or Barnard student who will be enrolled in the Fall 2010 semester is eligible to apply. The internships are for students seeking opportunities for mentored research and hands-on experience in data analysis. Interns will have responsibility, under the guidance of a faculty mentor, for a collaborative cross-disciplinary application of statistics to data from the natural or social sciences; interns will also take part in the Department’s statistical consulting service, will participate in research seminars and group meetings, and will receive training in responsible and ethical research practices. Assignment to projects will be based on the intern’s experience and interests. Selection for the internships is competitive, with preference given to students with a track-record in Statistics Department courses. To apply for the internship, please deliver to Ms. Dood Kalicharan in the Statistics Department office (Room 1005 of the School of Social Work Building at 1255 Amsterdam Avenue) a copy of your transcript, a brief statement explaining your interest in the internship, and any additional material that you feel might be helpful in the selection process. The material should be addressed to Summer Internship Program. Review of the applications will begin in the first week of January. Interns receive a stipend of $2,000 and Columbia residence hall housing during the internship. Questions about the internship should be directed to Daniel Rabinowitz, dan@stat.columbia.edu Faculty mentors for 2010 include:
  • Martin Lindquist, Analysis of fMRI data.
  • David Madigan, Applications in drug safety and trauma care.
  • Liam Paninsky, Applications in neurobiology
  • Daniel Rabinowitz, Applications in medicine, public health, and genetic epidemiology.

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