The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) seeks applicants for the position of Senior 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 for five years and is renewable contingent upon performance, enrollments, and curricular need.
The Senior Lecturer will have teaching responsibility for three computational or data science courses per year. In addition, the Senior Lecturer will assist in the development and implementation of the Institute’s curricular vision through collaboration with faculty partners in Computer Science, Applied Mathematics and Statistics, as well as other areas and institutes across Harvard. The Senior Lecturer will be a member of the IACS team and have an opportunity to shape Harvard University’s vision for education and research in the strategically important areas of computational and data science. Home to a master’s program in computational science and engineering and data science, IACS is a key member of the group leading the growth and development of computational science and data science education at Harvard University.
Duties and Responsibilities:
Teaching: teach or co-teach three graduate-level courses per year with a focus on interdisciplinary collaboration that allows students to develop problem-solving skills in computational science and data science. Candidates must be able to show course evaluations from recently taught courses and should have a record of strong teaching at the graduate level. Senior lecturers ordinarily have taught within the ladder ranks at a university or peer undergraduate institution or have a commensurate scholarly record.
Curriculum development: assist IACS in the continuing assessment and improvement of the Institute’s curriculum in order to stay abreast of the latest developments in computational science and engineering and data science; assist in development of computational content for existing courses across SEAS, and develop new courses as needed with a focus on hands-on, project-based classes that allow students to work collaboratively.
Student advising: serve as an intellectual mentor and advisor to students, advise master’s students in their development of independent study projects and theses, develop proposals for integrated graduate training and faculty activities that provide research experiences and thesis projects for students, serve on the admissions committee for master’s programs, and review and approve student final exams and project presentations.
Programmatic: contribute to the Institute’s extracurricular program of conferences, student competitions, open houses and workshops, advising sessions, special events, and co-curricular research and academic visits, with a goal of building community, skill and knowledge in computational and data science at Harvard.
Research: conduct independent and collaborative research. Participate in the scientific and research communities in your discipline.
Candidates are required to have a doctoral degree in Computer Science, Applied Mathematics, Statistics or another field of science or engineering, as well as programming skills in some programming language. In addition, we seek candidates with a strong record of teaching at the graduate level and experience developing courses in computational science and engineering or data science. Broad knowledge in the computational methods and approaches required for modeling, exploration and analysis of data, documented through scientific publications, or patents and projects executed in an industrial setting is a benefit. Candidates with documented ability to mentor graduate students, excellent communication, writing, and presentation skills and a strong commitment to education and mentoring are preferred.
Required documents include a cover letter, CV, a one-page statement of teaching philosophy and interests, and course evaluations for all recently taught courses. Applications without course evaluations will not be considered. 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/hr/postings/8563. 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.
About Harvard, Institute for Applied Computational Science
At the Harvard John A. Paulson School of Engineering and Applied Sciences, the Institute for Applied Computational Science (IACS) is the home for students and faculty who are tackling major challenges in science and the world through the use of computational methods. We train graduate students to solve real-world problems and conduct innovative research by using mathematical models, algorithms, systems innovations and statistical tools. Embedded within a large liberal arts research University, IACS serves as a focal point for interdisciplinary collaborations in computational science and data science at Harvard and the Boston area community.