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 focussed 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 18, CS 182, CS 281, 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.
Special Instructions: Please submit a Cover letter, including a description of teaching/advising experience and philosophy and comments on any efforts to encourage diversity, inclusion, and belonging; 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.
The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up-to-date on CDC -recommended vaccines.
Contact Information: Kim LaSpina
Contact Email:
klaspina@seas.harvard.edu
Equal Opportunity Employer: Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status.
Minimum Number of References Required: 3
Maximum Number of References Allowed: 5
Supplemental Questions: Required fields are indicated with an asterisk (*).
