Online MEng Teaching Assistant: Machine Vision

Position Title

Online MEng Teaching Assistant:
Machine Vision

0000000

Minimum: $4,000, Maximum: $4,000

Remote

The Thayer School of Engineering at Dartmouth College is seeking a Teaching Assistant for the Machine Vision course in the Online Master of Engineering (MEng) in Computer Engineering. This person will work closely with the Dartmouth faculty and academic team to support our students who are studying in this fully online, asynchronous program.

This graduate-level course combines image processing, machine learning, and system design concepts, with a focus on implementing machine vision systems on low-level hardware. In this course, students will leverage digital design tools to evaluate and compare the performance of high-speed vision algorithms implemented on an SoC (system on a chip), and they will explore system-level design through case studies of machine vision systems across industries.

This class will expand on fundamental computer vision algorithms, such as image segmentation, feature extraction, motion tracking, object detection, and filtering, emphasizing the hardware implementation of real-world machine vision applications.

This position is part-time and is expected to be 10-15 flexible hours per week.

• Bachelor's degree in engineering or related field.
• Demonstrated experience with Machine Vision system design, hardware implementation, optimization techniques, and image and video processing.
• Demonstrated experience with fundamental computer vision algorithms, such as image segmentation, feature extraction, motion tracking, object detection, and filtering.

• Master's or doctoral degree in engineering or related field.
• Research and/or industry experience in Machine Vision.

Non-Exempt

Temporary Part time

Bethany Iyobe, Thayer Online Education Academic Program Manager

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.

Dartmouth College has a Tobacco-Free Policy. Smoking and the use of tobacco-based products (including smokeless tobacco) are prohibited in all facilities, grounds, vehicles or other areas owned, operated or occupied by Dartmouth College with no exceptions. For details, please see our policy.
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Grading (40%)

• In collaboration with course faculty, grade course assignments and provide meaningful feedback to students in a timely manner.

Instructional Support (25%)

• Facilitate live TA help sessions to support student progress on assignments and team projects.
• Attend online live course sessions run by faculty to assist with facilitation.
• Provide content help or individual assistance to students when necessary.

Course Communication (25%)

• Actively monitor and respond to student interactions and questions on Slack in a timely manner.
• Respond to student emails regarding assignments and course content.

Course Administration (10%)

• Monitor student work and progress, and bring at-risk students to the attention of staff and faculty.
• In collaboration with course faculty and the Academic Program Manager, consider course-level student accommodation requests (including extensions, emergency absences, etc) and apply item setting exceptions for approved course-level student accommodations.
• Troubleshoot and elevate student technical issues with the platform.
• Report course content or settings corrections in the live course.
• Attend and contribute to weekly instructor team meetings.

Demonstrates professionalism and collegiality through actions, interactions, and communications with others appropriate to an environment that is welcoming to all.

Performs other duties as assigned.

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