Postdoctoral Associate – Digital Learning | MIT Sloan

Job Number: 25977
Functional Area: Research – Other
Appointment: One year, with the possibility of renewal subject to funding and satisfactory performance
Visa Sponsorship: Not available
Application Deadline: September 1, 2026

Position Overview

The MIT Sloan School of Management is seeking a Postdoctoral Associate to serve as a Digital Learning Fellow and develop course curricula for a set of modules for a bachelor's degree in Entrepreneurship and Management designed for an African audience.

The Digital Learning Fellow will draw on existing MIT courses and resources from MITx Online, MIT Sloan, OpenEdX, and Canvas to support the development and delivery of online courses.

The position will work closely with Professors Suri and Van der Hilst, educational staff at MIT, and faculty at partner institutions in Africa.

Responsibilities

The Digital Learning Fellow will:

• Develop courses with clear learning objectives, detailed content outlines, and measurable outcomes.
• Design interactive learning activities, engaging video content, and thoughtful discussion forums.
• Create assessment systems for some existing MIT Sloan courses.
• Help explore how artificial intelligence can be used in online education.
• Collaborate with MIT educational staff and faculty at partner institutions in Africa.
• Participate in content creation in studios in West Africa, requiring travel and collaboration with local creatives.
• Develop and launch courses on time, within budget, and according to MIT quality standards.

Required Qualifications

Candidates must have:

• An advanced degree (Ph.D. or graduate-level degree) in applied entrepreneurship, management, or a related field.
• A minimum of two years of relevant teaching experience for college-level courses. Teaching assistant experience may qualify.
• Demonstrated experience as an instructional designer or course developer.
• A proven record of delivering projects on time and within budget.
• Demonstrated knowledge of best practices, current research, and innovations in digital teaching and learning in higher education.
• Strong project management, time management, and communication skills.
• Ability to work both independently and collaboratively as part of a team.
• A desire to learn new technical skills.
• Proficiency with Python, JavaScript, XML, CSS, and LaTeX.

Preferred Qualifications

Preferred qualifications include:

• Experience creating plots and 3D interactive images using Mathematica, MATLAB, or Python.
• Ties to Africa or experience on the continent, given the African context of the content and local course production.
• Experience using Adobe tools and video editing software, including Illustrator, Photoshop, After Effects, and Premiere.

Appointment and Compensation

This is a full-time, exempt, one-year position with the possibility of renewal, subject to funding and satisfactory performance.

The salary range is $73,308 to $90,000 per year.

Visa sponsorship is not available for this position.

Application Deadline

Applications are due September 1, 2026.

Location

Massachusetts Institute of Technology
Cambridge, Massachusetts

The position requires travel for some content production activities in West Africa.

How to Apply

Review the full job description and application information at:

https://web.mit.edu/sloan-hr/jobs/DLLFellowAdvertEntrepreneurship.pdf

If you decide to apply for this position, kindly mention that you found it on AcademyHire.

About MIT Sloan School of Management

This position is based within the Sloan School of Management at the Massachusetts Institute of Technology (MIT). The Digital Learning Fellow will collaborate with MIT faculty and educational staff as well as faculty at partner institutions in Africa to develop digital learning content in entrepreneurship and management.

Equal Employment Opportunity

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.