Signal Processing Course Teaching Assistant Position Available In Grafton, New Hampshire

1,678 of 10,000 Salary Confidential Signal Processing Course Teaching Assistant
Trustees of Dartmouth College

Occupation:

Teaching Assistants, Postsecondary

Location:

Hanover, NH – 03755
Positions available: 1
Job #: 521323

Source:

NHWorks Job Match

Posted:

2/28/2025

Updated:

3/2/2025

Expires:

5/29/2025

Web Site:

NHWorks Job Match
Onsite /

Remote:

Not Specified

Job Type:

Regular, Part Time (Less than 30 Hours), Permanent Employment

Agency Job ID:

82846334 Job Requirements and Properties Job Requirements and Properties MD Job Description Help for Job Description. Job Description Help for Job Description. Position Information Position Title
Signal Processing Course Teaching Assistant Department
Dartmouth Engineering Position Number
0000000 Hiring Range Minimum
$4000 stipend total Hiring Range Maximum
$4000 stipend total Location of Position
Remote Advertisement Text Position Purpose
This Teaching Assistant (TA) position is for the Signal Processing course of the Online Master of Engineering (MEng) in Computer Engineering at Dartmouth College. TAs are an essential component of the asynchronous learning experiences of students in this fully remote degree offering. They support faculty and students during live remote courses in areas including facilitation of live sessions, holding 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. Required Qualifications
Master’s degree in area related to Signal Processing or equivalent experience in the field.
Proficiency in:
Mathematical theories that underpin the discipline of signal processing
Signal processing in Python using NumPy and SciPy
Discrete-time signals and linear time invariant systems
Discrete-time Fourier transform and z-transform
Sampling and aliasing
Signal filtering and filter design
Modeling a random signal as a stochastic process Preferred Qualifications
MS/PhD or equivalent experience in computer engineering or a related field
Experience as a teaching assistant or course instructor
Familiarity with learning management systems, particularly Coursera
Experience in online education as a learner or instructor FLSA
Exempt Employment Category
Temporary Part time Schedule Department Contact for Recruitment Inquiries Department Contact Phone Number
Bethany.

M.Iyobe@dartmouth.edu Department Contact for Cover Letter
Bethany Iyobe Contact’s Phone Number Equal Opportunity Employer
Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. 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 by members of all underrepresented groups are encouraged. Background Check
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. Special Instructions to Applicants
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.

https:

//policies.dartmouth.edu/policy/tobacco-free-policy Additional Instructions Quick Link
https://searchjobs.dartmouth.edu/postings/77527 Key Accountabilities Key Accountabilities
Instructional/Course Content Support (70%)
In collaboration with course faculty, grade course assignments including labs and problem sets while providing meaningful feedback to students.
In collaboration with course faculty, provide content help or tutoring to individual students when necessary.
Facilitate live TA help sessions to support student progress on assignments and group projects.
Attend online live course sessions run by faculty, answer student questions during live sessions in the chat, and facilitate portions of the live sessions. Course Communication (15%)
Actively monitor and respond to discussion forum questions in a timely manner.
Create threads during the live course to spark discussion in the discussion forums.
Review any reported inappropriate activity in discussion forums that need to be reviewed against academic integrity policy and take action in accordance with Dartmouth College policies.
Answer student emails regarding assignments and course content. Course Administration (15%)
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 escalate student technical issues with the platform.
Report course content or settings corrections in the live course. —
Demonstrates a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others. —
Performs other duties as assigned. Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of race, color, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications by members of underrepresented groups are encouraged.