• Casual Staff - Stern College

    Posting Date 3 months ago(1/31/2018 10:28 AM)
    Job ID
    2018-10019
    Employee Classification
    Temporary and/or Hourly
    Department
    Stern College for Women
    Position Type
    Hourly
    Campus : Location
    US-NY-Beren- Lexington & 33rd St
  • ABOUT US

    Founded in 1886, Yeshiva University (YU) has a strong tradition of combining Jewish scholarship with academic excellence and achievement in the liberal arts, sciences, medicine, law, business, social work, Jewish studies, education, psychology, and more.  

     

    We are a leading global educational institution that employs over 6,000 people across our various campus locations -- Wilf Campus, Beren Campus, Brookdale Center, Resnick Campus in the Bronx, the Gruss Institute in Jerusalem, the Boys High School in Manhattan and the Girls High School in Queens. From the distinguished faculty who teach here, to the dedicated staff, we work to fulfill our mission: to “bring wisdom to life” through all that we teach, by all that we do and for all those we serve. We seek to attract and retain engaged and committed individuals who contribute to an exciting working environment, where there is a sense of community and belonging, balanced with a significant cross section of people from diverse backgrounds working and studying together.

     

    The University offers an excellent compensation package, and a broad range of employee benefit plans, including immediate participation in the University’s retirement plan. Staff members are typically eligible for four weeks paid vacation each year and a shuttle to nearby subway locations.

     

     

     

    POSITION RESPONSIBILITIES

    • The Technology Coordinator will assist the Stern College Computer Science department by holding workshops to lead and train students in the development of code - in the Python language, or for app development on the Android or similar platforms. 

       

    QUALIFICATIONS

    Experience and Educational Background:

    • Must be fluent in Python, and at least one other programming language
    • Must have mastered Data Structures and Algorithms, as evidenced by successful completion of college level coure(s) in these areas.
    • Must be a YU graduate

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