[Ieee_vis_open_positions] Seeking Senior Lecturers in Computational and Data Science at Harvard University

[Hanspeter Pfister]

The Institute for Applied Computational Science (IACS) at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS)  is actively recruiting new Senior Lecturers of Computational Science and Data Science. 

Candidates with demonstrated excellence in teaching and a background in computational science, including the fields of Computer Science, Applied Math or Statistics are urged to apply. The full posting is listed below and is also available at:http://academicpositions.harvard.edu/postings/7028.

This is an exciting opportunity to become a key member of the group leading the growth and development of computational science and data science education - including visualization - at Harvard University.

Cheers,

Hanspeter Pfister
An Wang Professor of Computer Science
Director, Institute for Applied Computational Science
Harvard John A. Paulson School of Engineering and Applied Sciences

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Senior Lecturer of Computational Science and Data Science
Institute for Applied Computational Science, Harvard John A. Paulson School of Engineering and Applied Sciences

The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) seeks outstanding applicants for the position of Senior Lecturer in Computational Science and Data Science in the Institute for Applied Computational Science (IACS), with an expected start date of January 1, 2017. 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, 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.
Curriculum development: assist the Institute for Applied Computational Science 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, in particular with respect to the emerging field of 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 admissions committee for master's programs; 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 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. Candidates are also required to submit the names and contact information for three references. We encourage candidates to apply by September 1, 2016, but will continue to review applications until the position is filled. Applicants will apply online at:http://academicpositions.harvard.edu/postings/7028

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