Adjunct Lecturer in Data Science

Job description

Position Information

Present Position NumberP1022WRole TitlePT Instruct/LecturerPosition TitleAdjunct Lecturer in Data SciencePosition Summary

The Data Science Program at the College of William and Mary is recruiting a pool of applicants for possible adjunct teaching positions. Should funding for such adjunct teaching positions become available, the Program will contact persons in the pool whose credentials match our teaching needs. The pool will be accessed only when an opening arises. Your credentials will remain active for one year after the date you submit them. After one year, if you are still interested in adjunct teaching, you must reapply to this adjunct pool. Note that we are unable to hire applicants who are not already in the pool.

Required Qualifications

M.S. or ABD in Data Science, Computer Science, Statistics, Geography, or closely related disciplines. Strong oral presentation and communication skills.

Preferred Qualifications

Ph.D. in Data Science, Computer Science, Statistics or Geography at the time when the appointment begins. Prior teaching experience and applied experience outside of academic settings is preferred.

Department3KF110 Charles CenterLocationWilliam & MaryJob Open Date03/26/2018Review Begin Date03/26/2018Job Close DateOpen Until FilledNoJob CategoryInstructional FacultySpecial Application InstructionsBackground Check Statement

William & Mary is committed to providing a safe campus community. W&M conducts background investigations for applicants being considered for employment. Background investigations include reference checks, a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

EEO Statement

William & Mary is an Equal Opportunity/Affirmative Action/Equal Access employer and actively encourages applications from minorities, women, disabled persons and veterans.

Supplemental Questions

Required fields are indicated with an asterisk (*).

    Required DocumentsRequired Documents
    1. Resume/Curriculum Vitae
    2. Cover Letter
    Optional Documents




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      Job No:
      Posted: 7/16/2019
      Application Due: 12/16/2020
      Work Type: