Description

Harvard University


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 September 1, 2025. 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 being posted in advance of an anticipated curricular need. We welcome applications at this time in order to ensure a timely search process should the position move forward.

This position is focussed on support for data science, artificial intelligence, and machine learning courses. The Preceptor will be responsible for assisting instructors of large AI-related courses for master's and undergraduate students. Responsibilities may include course management, student support, guidance and training of course assistants and teaching fellows, and section instruction. Successful candidates will eventually have opportunities for development of course materials and teaching in primary class sessions. We expect the preceptor to help with two courses per semester. 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 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 recent AI tools, 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.

Special Instructions: Please submit a cover letter, including a description of teaching/advising experience and philosophy; a current CV; and the names and contact information of three to five referees, who will be asked by a system-generated email to upload a letter of recommendation once the candidate's application has been submitted. Three letters of recommendation are required, and the application is considered complete only when at least three letters have been received.

Contact Information: Kim LaSpina

Contact Email: [email protected]


Minimum Number of References Required: 3

Maximum Number of References Allowed: 5


Supplemental Questions: Required fields are indicated with an asterisk (*).

PI278014521