Lecturer and Computing Education Lead

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Job description

Job Number: 25839

Functional Area: Academic (non-faculty)

Department: Schwarzman College of Computing

School Area: Schwarzman College of Computing

Pay Range Minimum: 166,700

Pay Range Maximum: 200,000

Employment Type: Full-Time

Employment Category: Exempt

Visa Sponsorship Available: No

Schedule: Monday-Friday 8 Hours a Day

Pay Grade: No Grade

Posting Description

LECTURER AND COMPUTING EDUCATION LEAD, MIT Schwarzman College of Computing and Department of Electrical Engineering and Computer Science (EECS), to contribute to 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 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.

The full job description is available here: https://computing.mit.edu/lecturer/

Job Requirements

REQUIRED: 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; and strong communication and collaboration skills. PREFERRED: Background in AI or related areas; or experience in curriculum development or educational initiatives.

How to apply

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.

This is a 1-year term appointment with the possibility of renewal.

6/29/2026

MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, national origin, veteran status, or disability.

The mission of MIT is to advance knowledge and educate students in science, technology and other areas of scholarship that will best serve the nation and the world in the 21st century — whether the focus is cancer, energy, economics or literature.