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Position: Senior Lecturer in Computational and Data Science
Institution: Harvard University
Department: Institute for Applied Computational Science
Location: Cambridge, Massachusetts, United States
Duties: 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. 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
Requirements: 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
   
Text: Title Senior Lecturer in Computational and Data Science School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Institute for Applied Computational Science Position Description The Harvard John A. Paulson School of Engineering and Applied Sciences ( SEAS ) seeks applicants for the position of Senior Lecturer in Computational and Data Science in the Institute for Applied Computational Science ( IACS ), with an expected start date of January 1, 2018. 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 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. Basic Qualifications 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. Additional Qualifications In addition, we seek candidates with a demonstrated record of successful teaching at the undergraduate or 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. Special Instructions Required documents include a cover letter, CV, a one-two page statement of teaching philosophy and interests, course syllabi, 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, 2017, but will continue to review applications until the position is filled. Contact Information Sheila Coveney IACS Program Manager Contact Email coveney@seas.harvard.edu Equal Opportunity Employer We are 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. Minimum Number of References Required 3 Maximum Number of References Allowed 5
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