Lecturer in Computational Science and Data Science

The Harvard John A. Paulson School of Engineering and Applied Sciences seeks applicants for a Lecturer in Computational Science and Data Science in the Institute for Applied Computational Science (IACS) (http://iacs.seas.harvard.edu), with an expected start date of July 1, 2019. The position is an annual (twelve month) academic appointment renewable for up to three years, depending on continuing curricular need and performance. 

Duties include teaching three computational or data science courses per year, supervising and advising master’s student projects, and conducting independent research in an area of the lecturer’s choosing. In addition, the lecturer will be expected to participate in the planning and execution of community events planned by the IACS.

Candidates are required to have a doctoral degree in Computer Science, Applied Mathematics, Statistics, or a related field (physical science or social science with a focus on computational methods) by the expected start date as well as programming skills in some programming language.  In addition, we seek candidates with a record of teaching at the undergraduate or graduate level. 

Required documents include: a cover letter; CV; a one-page statement of teaching philosophy and interests; and course evaluations for all recently taught courses. In addition, we ask for a one-page statement of commitment to encouraging diversity, inclusion, and belonging, including past and current contributions in these areas. Candidates are also required to submit the names and contact information for three references. Applicants can apply using this link: https://academicpositions.harvard.edu/postings/8557. We encourage candidates to apply by December 15, 2018, but will continue to review applications until the position is filled.

Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.