Faculty, Research, & Lecturer Positions

Tenured Professor in Computer Science

The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) seeks applicants for a position at the tenured level in the area of Machine Learning, with an expected start date of July 1, 2019.

We seek a computer scientist whose research accomplishments include fundamental advances in machine learning.

Computer Science at Harvard is enjoying a period of substantial growth in numbers of students and faculty hiring, and in expanded facilities. We benefit from outstanding undergraduate and graduate students, world-leading faculty, an excellent location, significant industrial collaboration, and substantial support from the Harvard Paulson School. For more information, see http://www.seas.harvard.edu/computer-science.

The associated Center for Research on Computation and Society (http://crcs.seas.harvard.edu/), Berkman Klein Center for Internet & Society (http://cyber.harvard.edu), Data Science Initiative (https://datascience.harvard.edu/), and Institute for Applied Computational Science (http://iacs.seas.harvard.edu) foster connections among computer science and other disciplines throughout the university.

Candidates are required to have a doctoral degree in computer science or a related area.

Required application documents include a cover letter, CV, a statement of research interests, a teaching statement, and up to three representative papers. Candidates are also required to submit the names and contact information for at least three references. Applicants can apply online at http://academicpositions.harvard.edu/postings/8609.

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.

 

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.

 

Senior Lecturer of Computational Science and Data Science

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/postings/8564. 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.