Distributed Computing Course Teaching Assistant (TA) Online MEng

Hanover, NH / Remote

Many modern computing tasks benefit from coordinating processing across multiple systems. Distributed platforms enable a vast range of services including cloud storage, media streaming, remote sensing, the Internet of Things, federated learning, and swarm robotics. This course introduces the key principles and challenges involved in designing and implementing distributed systems. Students are introduced to computer networking, concurrent programming, distributed architectures and algorithms, and system analysis. Frequent programming exercises, laboratories, and case studies develop student proficiency with these concepts that are then applied in a term-long, hardware-centric team project.

Familiarity with concurrent programming, computer networking, interprocess communication (e.g. remote procedure calls) is a plus. Previous teaching or mentoring experience is also desirable.

Online Master of Engineering (MEng) in Computer Engineering Course Teaching Assistants (TAs) will support faculty and students during course run in areas including assisting the professor with facilitation of Synchronous Sessions, holding online office hours, monitoring discussion forums, assisting with administration of the Coursera platform, grading of assignments, and providing technical support related to course content for students when necessary. TAs should have demonstrated proficiency in Computer Engineering course content at or above the graduate level.

Lectures for the course are offered asynchronously, with weekly Synchronous Sessions that are optional for students. The expected TA time commitment is approximately 15 hours per week. The online MEng courses will be offered on the Coursera platform. There will be required TA training in June before the term begins.

Dartmouth College is an equal opportunity employer under federal law. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications are welcome from all.

Employment in this position is contingent upon consent to and successful completion of a pre-employment background check, which may include a criminal background check, reference checks, verification of work history, conduct review, and verification of any required academic credentials, licenses, and/or certifications, with results acceptable to Dartmouth College. A criminal conviction will not automatically disqualify an applicant from employment. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.

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