Math Learning Lab (MLL) - Computer Science Learning Assistant for 2026

Math Learning Lab (MLL) - Computer Science Learning Assistant for 2026-2027 Job no: 497244 Full time/Part time: Part-time

Location:

South Orange

Categories:

Student Employment

JOB SUMMARY

The Math Learning Lab is seeking qualified and motivated individuals to join our academic support team as Undergraduate Learning Assistant for CSAS Introduction to Program Design I & II. The successful candidates will play a key role in enhancing student success by supporting the students in the class and leading structured group study sessions. As an Undergraduate Learning Assistant, you will collaborate with faculty, provide academic support, and create a positive and engaging learning environment.

DUTIES & RESPONSIBILITIES

Attendance to every class for either CSAS 1114 or

CSAS 1115

as assigned Answering student questions during class Solving computer technical issues that arise in class Developing and presenting a selection of programs throughout the semester Evaluating student programs Preparing study guides as a student for students Two weekly office hours with the Professor Approximately 6-8 hours of tutoring/recitation hours. Assist in supervision and training of the Computer Science tutors.

REQUIRED QUALIFICATIONS

Currently enrolled undergraduate student. Proficiency in Mathematics and Computer Science, with at least a B+ in

CSAS 1114, CSAS 1115

GPA in Math and Computer Science of 3.0 or higher. Experience as a programmer using the Racket-based student language and the Program-by-Design methodology. Excellent communication and interpersonal skills. Demonstrated ability to work effectively with diverse student populations. Enthusiasm for supporting student success and fostering a positive learning environment. Recommendation from Dr. Morazan, Dr. Dr. Albagli-Kim or Dr. Hemann is required. Must have been a CS Peer Tutor for the Math Learning Lab.

DESIRED QUALIFICATIONS

Proficiency in Racket-based student language, Java, Python, and Program-by-Design methodology. Previous tutoring experience preferred.

SPECIAL INSTRUCTIONS

After applying please email Dr. Sethi at wendiann.sethishu.edu with your grades for CSAS classes taken and have

CSAS 1114/1115

professor send a letter of recommendation letter. CONTACT Dr. Wendiann Sethi. email wendiann.sethishu.edu

FEDERAL WORK STUDY ELIGIBILITY

Not Required Seton Hall University is committed to programs of Equal Employment Opportunity (EEO).

Advertised:

23 Apr 2026 Eastern Daylight Time Applications close: 02 Oct 2026 Eastern Daylight Time