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QTM Teaching Assistantships


Overview

We are accepting applications for the Spring 2024 semester. We will continue accepting applications until all positions are filled.

If you have any questions about TA and grader applications, please contact Lora McDonald

Open the tabs below to see the description for each teaching position.

For QTM 100: Intro to Statistical Inference all applicants should apply at https://forms.office.com/r/0pUwPWSy0q

For all other positions:

PhD students should apply at https://forms.office.com/r/b3faB8ZxFe

Master’s students should apply at https://collegeconnect.emory.edu/register/ecas_service_portal_login

Graduate TA Openings

Labs Meet

Fridays: 8:30-9:20, 10:00-10:50, 11:30-12:20, 1:00-1:50, 2:30-3:20 

Course Instructor: 

Dr. Jin Kim

Positions Available:

Responsibilities

  • Instruct one weekly lab section of approximately 40 students
  • Attend weekly meetings with other QTM 100 TAs and QTM 100 course instructor(s)
  • Supervise an undergraduate teaching assistant (whose role is to take attendance, hand out/collect documents, facilitate group activities, answer student questions, etc.)
  • Provide other course-related support such as grading, grade entry, development of assignments or exams/exam questions, and holding weekly office hours
  • New QTM 100 TAs are expected to attend the QTM 100 lecture

Expected Hours

  • 10-15 hours per week

Compensation

  • $2625 per semester, paid in monthly installments (e.g., $656.25 per month)

Qualifications

  • Knowledge of introductory statistics is required (e.g., basic probability, t-tests, chi-squared tests, ANOVA, linear regression)
  • Must be willing to work as a team! QTM 100 serves 450+ students a semester. The course instructors, graduate TAs, undergraduate learning assistants and undergraduate TAs all work together to serve students and ensure uniform teaching practices across sections
  • Must be a current graduate student at Emory University (no specific field preferred or required)
  • Knowledge of R is preferred, but not required; if you are unfamiliar with R, training can be provided
  • Teaching experience is preferred, but not required.

Class Meets

Tuesdays and Thursdays 4:00 -4:50 PM

Course Instructor: 

Dr. Heesun Yoo

Positions Available:

3

Responsibilities

  • Attend two 50-minute meetings of QTM 150 each week
  • Hold one office hour per week to assist students 
  • Provide prompt and timely grading support on lab assignments, problem sets, etc. based on directions provided by the course instructor

Expected Hours

  • 10 hours per week, with the specifics to be negotiated between the grader and the course instructor

Compensation

  • $2000 per semester

Qualifications

  • Must be a current graduate student at Emory University (no specific field preferred or required)
  • Must have experience with R or other statistical computing software

Course Meets:

MW 8:30-9:20

Course Instructor: 

Dr. Alejandro Sanchez-Becerra

Positions Available:

3 Graders

Responsibilities

  • Attend two 50-minute class meetings of QTM 151 each week
  • Hold one office hour per week to assist students 
  • Provide prompt and timely grading support on lab assignments, problem sets, etc. based on directions provided by the course instructor

Expected Hours

  • 10 hours per week, with the specifics to be negotiated between the grader and the course instructor

Compensation

  • $2000 per semester, paid in monthly installments (e.g. $656.25 per month)

Qualifications

  • Must be a current graduate student at Emory University (no specific field preferred or required)
  • Must have experience with R or Python 

Course Meets:

MW 4:00-5:15

Course Instructor: 

Dr. Heesun Yoo

Positions Available:

1 TA

Responsibilities

  • Provide course-related support such as in-class assistance for students, development of assignments or exams/exam questions, and holding weekly office hours

Expected Hours

  • 10 hours per week; must be able to attend lectures

Compensation

  • $2000 per semester, paid in monthly installments (e.g., $500.00 per month)

Qualifications

  • Must be a current graduate student at Emory University (no specific field preferred or required)
  • Must have experience in probability and statistics, including general linear models, econometrics, and/or regression analysis
  • Experience with R and/or Python is preferred

Course Meets:

TTH 11:30-12:45, Lab F 11:30-12:20

Course Instructor: 

Dr. Davi Cordeiro Moreira

Positions Available:

2 TAs

Responsibilities

  • Instruct one weekly lab section of approximately 45 students
  • Provide course-related support such as grading, grade entry, development of assignments or exams/exam questions, and holding weekly office hours

Expected Hours

  • 10 hours per week; must be able to attend the Friday lab session time

Compensation

  • $2000 per semester, paid in monthly installments (e.g., $500.00 per month)

Qualifications

  • Must be a current graduate student at Emory University (no specific field preferred or required)
  • Must have experience in probability and statistics
  • Experience with R and/or Python is preferred

Course Meets:

Section 1: Lecture MW 2:30-3:45 / Lab F 2:30-3:20 / Instructor: Dr. David Hirshberg

Section 2: Lecture MW 11:30-12:45 / Lab F 11:30-12:20 / Instructor: Dr. Weihua An

Course Instructor: 

Section 1: Dr. David Hirshberg

Section 2: Dr. Weihua An

Positions Available:

2 TAs (1 for each section)

Responsibilities

  • Instruct one weekly lab section of approximately 45 students
  • Provide course-related support such as grading, grade entry, development of assignments or exams/exam questions, and holding weekly office hours

Expected Hours

  • 10 hours per week; must be able to attend the Friday lab session time

Compensation

  • $2000 per semester, paid in monthly installments (e.g., $500.00 per month)

Qualifications

  • Must be a current graduate student at Emory University (no specific field preferred or required)
  • Must have experience with general linear models, econometrics, or regression analysis
  • Experience with R and/or Python is preferred