The Advanced Research in Computing and Artificial Intelligence Division at GTRI's Information and Communications Lab (ICL) currently seek students to start Fall 2023 who are interested in applying their Computer Science and Engineering skills to solve applied research problems. The division works on projects ranging from machine learning for predictive maintenance; natural language processing for healthcare, defense, intelligence, etc.; creating high-performance modeling and simulation environments for a variety of industry and defense applications; building scalable solutions for decision support from a full-stack perspective; and building and maintaining large-scale high-performance research clusters. The team is looking for students with a full range of skills in programming, high performance computing, machine learning, statistical analysis, web development, scalable software, etc. Students with backgrounds in Computer Science/Engineering that who are self-starters, adaptable, and quick learners are encouraged to apply.

Required Minimum Qualifications

Student Assistant/Research Assistant

• Pursuing a Bachelor’s degree in Computer Science, Computer Engineering or a related field.
• Must be registered for at least 6 credit hours with your university
• 2.0 or higher cumulative GPA

Preferred Qualifications

• Experience in 1 or more programming languages
• Task / team leadership experience
• Strong math skills and ability to learn complex engineering concepts
• Familiarity with Linux and open source tools
• Interest in one or more of the following: High Performance Computing, Machine Learning, Data Science, Modeling and Simulation, Parallel Programming
• Ability to clearly communicate technical ideas

Hours per Week

10–20 hours per week

U.S. Citizenship Requirements

Due to our research contracts with the US federal government, candidates for this position are required to be US Citizens.

Clearance Type Required

None

Housing and Relocation

Housing and relocation assistance are not available for this position.

Diversity & Inclusion