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Preceptor in Computer Science

3 months ago


Cambridge, Massachusetts, United States Harvard University Full time
Title Preceptor in Computer Science
School Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area Computer Science
Position Description
The Harvard John A.

Paulson School of Engineering and Applied Sciences (SEAS) seeks applications for a full-time Preceptor in Computer Science with an expected start date of July 1, 2024.

The initial appointment is for three years, with the second and third years contingent on successful review after the first year as well as continuing curricular need, followed by a term of up to five years.


This position is focused on support for AI, machine learning, and data science courses, The Preceptor will be responsible for assisting instructors of four large machine learning and data science courses for master's and undergraduate students.

Responsibilities may include course management, development of course materials, student support, guidance and training of course assistants and teaching fellows, section instruction, and opportunities to teach in primary class sessions.

Instructional assignments will be made jointly by the Faculty Director of the Data Science Master's program and the Area Chair in Computer Science based on need and candidate preference and expertise.

Assignments will be taken from a set of courses in machine learning and data science including, but not limited to, CS 1810, CS 1820, CS 2810, and AC 221.

Basic Qualifications
A bachelor's or higher degree in computer science or closely related field is required.
Additional Qualifications

A successful applicant should have experience in teaching courses in computer science, data science, or a related field, either as a lecturer or teaching assistant, and evidence of proficiency with team management.

Other helpful qualifications would include experience with instruction of ethical issues as they relate to data science/computer science and experience with development of course materials such as lectures, problem sets, and examination questions.