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Massachusetts Institute of Technology Lecturer/Digital Learning Lab Fellow in Cambridge, Massachusetts

Lecturer/Digital Learning Lab Fellow

  • Job Number: 20179

  • Functional Area: Academic (non-faculty)

  • Department: Electrical Engineering & Computer Science

  • School Area: Engineering

  • Employment Type: Full-Time

  • Employment Category: Exempt

  • Visa Sponsorship Available: No

  • Schedule:

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    Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren’t found together anywhere else. We value diversity and strongly encourage applications from individuals from all identities and backgrounds, like yours. If you’re motivated, want to be part of a unique, multicultural, collaborative, and inclusive community, and help shape the future – then take a look at this opportunity.

    Information on MIT’s COVID-19 vaccination requirement can be found at the bottom of this posting.

LECTURER/DIGITAL LEARNING LAB (DLL) FELLOW, Electrical Engineering and Computer Science (EECS), to teach and develop content for one or more existing EECS and DLL courses, sustaining the course(s) across the semester. Will help to plan and coordinate the priorities/tasks necessary to meet deadlines as set by the overall plan and the successful production of online course offerings. Full-time participation in educational activities during the fall and spring terms and the January Independent Activities Period (IAP) will also be expected. Responsibilities will include interacting with students (e.g., lecturing, leading recitations, staffing labs, holding office hours, and helping with undergraduate advising); creating course content, e.g., lecture materials, problem sets, quizzes, videos, and other online materials; performing administrative responsibilities (e.g., locating/hiring/supervising course staff, record-keeping, and interacting with the Registrar’s Office); and participating in the creation/migration of courses onto MIT's internet-based educational platforms (OCW and MITx). May also participate on departmental committees. Research opportunities such as cosupervision of undergraduate or master’s projects may also arise. Course assignments will include some of the following and may include related courses: 6.0001/6.0002 Intro to CS/Programming in Python/Data Science; and 16.0002x Introduction to Computational Science and Engineering (online). Fellows benefit from additional mentorship from the Office of Digital Learning by participating in the Digital Learning Lab community and by collaborating in educational research with peer fellows and participation in regular DLL fellows meetings.

Job Requirements

REQUIRED: Ph.D. in topical area related to responsibilities; teaching experience in related undergraduate courses; demonstrated interest in educational innovation; expertise with digital learning technology, including the Edx/MITx platforms; and good time management skills and experience in a project setting with firm deadlines. Job #20179

This is a career-track Lecturer position. The initial appointment will be for two years, with the potential for appointment extensions.

Application material should include a cover letter speaking to qualifications and preferred course assignments; a teaching statement specifying teaching beliefs and practices; a CV listing educational background, publications, talks, and other applicable experience; and two letters of recommendation from previous teaching experience(s). The MIT application only allows for submission of a cover letter and resume/CV. As a result, the teaching statement, CV, and letters need to be submitted as a single pdf as part of the resume field. revised 10/22/21

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