Graduate Assistant/EAC (Multiple Open Positions)

University of Arkansas SystemLittle Rock, AR
70d

About The Position

The University of Arkansas at Little Rock is a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible leaders in their fields. Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock's thriving cultural community and a major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation. The EAC is seeking talented student researchers for the academic semester. The student researchers will participate in project development of EAC relevant fields such as interactive immersive technologies or cyber security. The position can be extended to future semesters. Students are expected to have an adequate background in software-development processes or digital workflows. The position is governed by state and federal laws.

Requirements

  • Bachelor’s Degree from an accredited institution of higher education
  • Regular admission to a UA Little Rock graduate degree program or good standing with the UA Little Rock Graduate School for continuing graduate students
  • Ability to work the required hours (FT-50% - 20 hours per week/PT-25% - 10 hours per week) with regular attendance
  • Proficient in advanced computer literacy including automation technologies
  • Proficiency in programming languages such as C++, Python, or JavaScript.
  • Excellent problem-solving skills, critical thinking, and a passion for research.
  • Familiarity with reading and analyzing scientific publications and writing project documentation

Nice To Haves

  • Enrolled in a relevant graduate program (e.g., Computer/Information Science, Computer Engineering, or a related field)
  • Strong background in (real-time) computer graphics, game engines, human-computer interaction, or machine learning.
  • Experience in software-development processes or digital workflows preferred
  • Experience with computer-graphics APIs (e.g., OpenGL, DirectX, Vulkan) and frameworks (e.g., Unity, Unreal) or interactive software frameworks (e.g., Flutter/Kotlin, Angular JS)
  • Machine-learning software frameworks (e.g., TensorFlow, PyTorch) and data analysis techniques.
  • For Cyber Security web development, data bases, machine learning, and cloud API’s
  • Applicants are encouraged to provide samples of their previous experiences (e.g., software repositories, published papers, portfolios)

Responsibilities

  • Participate in supervised as well as non-supervised research and development of EAC projects
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