Preceptor in Computational and Data Sciences

Institute for Applied Computational Science
Massachusetts, United States
Salary Commensurate with experience
Posted date
Aug 27, 2021

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Position Type
Faculty Positions, Science, Technology & Mathematics, Computer Sciences & Technology, Engineering, Mathematics, Other Science & Technology, Statistics
Employment Level
Non-Tenured Track
Employment Type
Full Time
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The Institute for Applied Computational Science (IACS) in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seeks applications for a Preceptor in Computational and Data Sciences.  Preceptors are expected to launch a successful teaching career by developing superior teaching and administrative abilities as part of a team of educators, and the position offers the applicant the opportunity to work closely with Harvard faculty and staff to develop and implement innovative curricula and course material.    IACS is the home for students and faculty who are tackling major challenges in science and the world through the use of computational and data science methods.  IACS trains graduate students to solve real-world problems by using mathematical models, algorithms, systems innovations, statistics, and machine learning. Embedded within a large liberal arts research University, IACS serves as the focal point for interdisciplinary collaborations in computational science and data science at Harvard and the Boston area community.   The Preceptor will collaborate with IACS faculty and staff on teaching, developing, and supporting its courses in computational science and engineering (CSE) and data science (DS) and help to coordinate consistency and coherence across these curricula by creating unified structures for course content and managing web content curation.   Duties include: (1) teaching weekly review lectures and leading sections and labs; (2) working with teaching faculty to prepare problem sets, section activities, review sessions, and written examinations and to develop instructional materials and software; (3) overseeing course administration as well as  supervising and training teaching fellows; and (4) acting as primary liaison between teaching faculty and the academic computing support group.   The position is an annual (twelve-month) academic appointment with an expected start date of January 1, 2022.  The initial appointment is for three years, with the second and third years contingent on successful review after the first year, followed by a term of up to five years.    For more information and to apply, please see our full posting at:
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