Math Learning Lab (MLL) - Computer Science Learning Assistant for 2026-2027
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Job no: 497244
Full time/Part time: Part-time
Location: South Orange
Categories: Student Employment
JOB SUMMARY
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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.
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DUTIES & RESPONSIBILITIES
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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.
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REQUIRED QUALIFICATIONS
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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.
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DESIRED QUALIFICATIONS
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Proficiency in Racket-based student language, Java, Python, and Program-by-Design methodology.
Previous tutoring experience preferred.
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SPECIAL INSTRUCTIONS
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After applying please email Dr. Sethi at wendiann.sethi@shu.edu with your grades for CSAS classes taken and have CSAS 1114/1115 professor send a letter of recommendation letter.
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CONTACT
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Dr. Wendiann Sethi. email wendiann.sethi@shu.edu
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FEDERAL WORK STUDY ELIGIBILITY
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Not Required
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Seton Hall University is committed to programs of Equal Employment Opportunity (EEO).
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Applications close: Eastern Daylight Time
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