HARVARD UNIVERSITY

Tenure-Track Professor in Statistics

Location
Cambridge, Massachusetts (US)
Posted
03 Jan 2018
End of advertisement period
31 Jan 2018
Ref
8033
Contract Type
Permanent
Hours
Full Time

The Department of Statistics invites applications for a tenure-track professor for the 2018-19 academic year. We seek exceptionally strong candidates in any field of statistics and probability as well as in any interdisciplinary areas where innovative and principled use of statistics and/or probability is of vital importance.

Harvard is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Basic Qualifications

Completion of the doctorate, or an equivalent terminal degree, in statistics or a related discipline will be required by the start date of the appointment.

Additional Qualifications

We seek candidates with strong doctoral records and a strong commitment to teaching.

Special Instructions Contact Information

Karen Barkow
Department of Statistics
Harvard University
1 Oxford Street
Cambridge, MA 02138

Contact Email karen_barkow@harvard.edu

Equal Opportunity Employer

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Minimum Number of References Required 3 Maximum Number of References Allowed 5 Supplemental Questions

Required fields are indicated with an asterisk (*).

Applicant Documents Required Documents

  1. Curriculum Vitae
  2. Cover Letter
  3. Statement of Teaching Philosophy
  4. Statement of Research

Optional Documents

  1. Publication
  2. Publication 2
  3. Publication 3
  4. Course Evaluation
  5. Sample Syllabus
  6. URL
  7. Dissertation Abstract
  8. Paper 1
  9. Paper 2
  10. Transcript