Research Computing Student Assistant - University Libraries - 530082

The University of AlabamaTuscaloosa, AL
Onsite

About The Position

The University Libraries Research Computing Student Assistant will develop scripts, documentation, tutorials, and assist with teaching workshops such as programmatic retrieval of scholarly information, data manipulation, data visualization, high performance computing, and AI/machine learning. Student Assistant will also assist with HPC instruction.

Requirements

  • Current University of Alabama undergraduate student.
  • Applicants must meet enrollment requirements to be eligible for on-campus student employment.
  • Applicants must be enrolled in a UA degree program and meet minimum credit hour requirements during the academic year: Undergraduate Students must be registered for at least 6 credit hours during fall/spring semesters; Graduate Students must be registered for at least 4.5 credit hours during fall/spring semesters; International Students must be registered full-time (Undergraduate = 12 credit hours, Graduate = 9 credit hours) during fall/spring semesters.
  • Enrollment requirements must be maintained for the duration of on-campus employment.
  • Individual hiring departments and programs may also have additional eligibility requirements for employment.
  • Applicants must successfully pass a pre-employment background investigation and information obtained from social media and other internet sources.

Nice To Haves

  • Experience working with web APIs (Application Programming Interfaces).
  • Experience with high-performance computing clusters.
  • Experience with Bash or GPU programming.
  • List programming experience, including depth of knowledge (basic, intermediate, advanced).
  • Provide examples of projects or assignments completed using a programming language and/or teaching related to a programming or software.

Responsibilities

  • Develop scripts, documentation, and tutorials.
  • Assist with teaching workshops on programmatic retrieval of scholarly information, data manipulation, data visualization, high performance computing, and AI/machine learning.
  • Assist with HPC instruction.
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