Ph.D.
Minimum Qualifications:
All candidates must have demonstrated excellence as scholars and teachers. The successful candidate will have a deep commitment to graduate training and teaching, along with excellent judgment and strong interpersonal skills.
Preferred Qualifications:
Specialization in applied statistics, data science, machine learning, text analysis, and familiarity with coding in R and/or Python.
All applications must be submitted through Columbia University’s Academic Search and Recruitment (ASR/Interfolio) system.
Please upload a cover letter describing your dissertation, teaching, and research experience, a CV, teaching evaluations, a sample syllabus, and contact information for three references.
Optional Applicant Documents to upload :
Writing Sample/Publication 1;
Writing Sample/Publication 2;
Other Document 1: Statement of Teaching Philosophy