Senior Lecturer in Computational and Data Science


Harvard University

Application Deadline:

Type

Faculty / asst. prof. / lecturer

Location

Cambridge, Massachusetts 02138

Cambridge

United States

Start Date:

End Date:

Location

United States

Cambridge

Type

Faculty / asst. prof. / lecturer

Application Deadline:


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 IACS 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 master’s programs in data science and 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 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, 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.