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Lecturer and Computing Education Lead
  • 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.

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