Massachusetts Institute of Technology, Schwarzman College of Computing

Position ID:

Massachusetts Institute of Technology-Schwarzman College of Computing-LEC [#32389]

Position Title:

Lecturer Computing Education and AI Initiative

Position Type:

Other

Position Location:

Cambridge, Massachusetts 02139, United States of America

Subject Area:

Artificial Intelligence / Biostatistics and Data Science

Appl Deadline:

2026/08/31 23:59:59 (posted 2026/07/29, listed until 2027/01/29)

Position Description:

The MIT Schwarzman College of Computing and Department of Electrical Engineering and Computer Science (EECS) is seeking a Lecturer to contribute to its computing education initiatives, which bring together the goals of the Common Ground for Computing Education and other related programs, such as the AI Educators Pilot initiative. The Common Ground for Computing Education is an institute-wide academic effort that brings together faculty across MIT to develop and deliver interdisciplinary subjects integrating computing with diverse academic disciplines, with the goal of expanding computational thinking throughout the curriculum. The AI Educators Pilot initiative is a program designed for external faculty and other instructors that engages participants through workshops and collaborative activities to build expertise in artificial intelligence and support the integration of AI concepts and applications into their teaching.

Position Overview

Lecturer and Computing Learning Lead, Schwarzman College of Computing (SCC) and Department of Electrical Engineering and Computer Science (EECS), will support the delivery and development of curricular content for core computing education in the College, primarily offered with EECS. This includes advancing the Common Ground for Computing Education and efforts that extend MIT’s impact. The role has an emphasis on interdisciplinary computing education, curriculum design, and instructional innovation. The lecturer will play a central role in translating foundational computing and AI concepts into accessible, domain-relevant learning experiences for students.

Principal Duties and Responsibilities (Essential Functions**):

• Serve as instructor or co-instructor for core computing and AI classes in the Common Ground. • Help develop online classes and class materials building on Common Ground classes. Lead course forums, webinars, workshops, or comparable learning settings to support the teaching of Common Ground classes and online classes that build on them. • Deliver lectures, lead recitations, and hold office hours. • May serve as a primary instructor for one or more classes. • Help develop, revise, and manage courses and related materials, including digital and online learning components where applicable. • Manage course materials and related content; design, build, and optimize learner assessment tools, such as problem sets, exams, and other activities. • Lead teaching assistants or other course staff. • Support learner communication, performance tracking, and exam administration for live or online course offerings, including coordination of online proctoring technology as appropriate. • Conduct data analysis on learning materials and outcomes; propose and help implement course revisions and improvements; and support related educational and research activities. • Engages with students and/or program participants to support learning and academic success. • Contribute to interdisciplinary computing education efforts across departments. • Support the development and refinement of courses that integrate computing with other disciplines. • Evaluate the effectiveness of courses and pedagogical approaches by working with other instructors and following up on learner feedback. • Assist in developing, maintaining, and updating the education strategy, and particularly any digital learning strategy. • Contribute to building a community of educators integrating AI into their teaching.

Supervision Received: Will report to Asu Ozdaglar, SCC Deputy Dean for Academics, Rob Miller, EECS and SCC Education officer.

Supervision Exercised: Supervises Teaching and Laboratory Assistants and other course staff.

Qualifications & Skills: • PhD in Computer Science, Statistics, Operations Research, Applied and Computational Mathematics, or related field. • Proficiency in evaluating the effectiveness of learning materials and academic assessment. • Significant successful teaching experience in related undergraduate courses. • A demonstrated interest in educational innovation. • Strong problem-solving, debugging skills and working knowledge or familiarity with machine learning, deep learning, statistical software, and analytics tools to analyze big data sets. • Strong communication and collaboration skills.

Preferred: -Background in AI or related areas -Experience in curriculum development or educational initiatives -Experience with HTML and LaTeX. -Minimum of one year of relevant experience in online or higher education. - An interest in educational technology, digital teaching and learning in higher education, production of educational content, academic assessment methodologies, and the delivery and management of online educational programs.

Appointment Details: • The position will be a 12-month appointment. • Initial appointment will be for three years, with potential for appointment extensions. • Position start date could be as soon as July 1, 2026.

To apply, candidates must submit a cover letter speaking to qualifications and preferred course assignments and a CV listing educational background, publications, talks, and other applicable experience. Applications will be considered until the position is filled.

Employment is contingent upon the completion of a satisfactory background check.

MIT is an equal opportunity employer. We strongly encourage applications from individuals from all identities and backgrounds. All qualified applicants will receive equitable consideration for employment based on their experience and qualifications and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, pregnancy, religion, disability, age, genetic information, veteran status, or national or ethnic origin. View MIT Policy on Non Discrimination and EEOC’s Know Your Rights. Employment is contingent upon the completion of a satisfactory background check, including possible verification of any findings of misconduct (or pending investigations) from prior employers.

We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply at https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails/jobDetail.html?jobPostId=34349&localeCode=en-us .

Contact: Diane Ramirez-Riley

Email: email address

Postal Mail:

: 51 Vassar Street (Building 45)
Cambridge, MA 02139-4307

Web Page: https://computing.mit.edu/lecturer/