Heading
Smyrna, GA
Internship
Onsite
Intern
The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research organization of the Georgia Institute of Technology. They are seeking a Graduate Research Assistant to participate in diverse scientific and technological endeavors, assisting Research Scientists in various Cognitive Science and Computer Science related research tasks.
Apply NowResponsibilities
- Perform exploratory research (or human subjects research if applicable) to address sponsor interests
- Conduct and report on computational science/data analysis
- Coordinate with other research scientists/engineers to develop software for research testbed and experimental gaming platforms
- Contribute to technical reports and presentations
Qualification
Required
- Pursuing a Master’s degree at Georgia Tech in Computer Science (with Artificial Intelligence, Data Science, or Cognitive Science emphasis)
- Must be enrolled full-time (12+ credit hours)
- Must have a 3.0 or higher cumulative GPA
- Commit to 20 hours of work per week
- Ability to apply foundational cognitive science, artificial intelligence, and/or cognitive psychology principles and concepts to applied and exploratory research in artificial intelligence and human machine teaming
- Experience in contributing to academic research, ability to complete CITI training (as applicable) upon onboarding
- Experience with common programming languages or data analysis software packages for computational data science (e.g., R, SPSS, SAS, Java, Python, C++)
- Good academic writing and verbal communication skills
- Familiarity with office applications including Microsoft Word, Excel, and PowerPoint
- Due to our research contracts with the US federal government, candidates for this position are required to be US Citizens.
- Candidates must be able to obtain and maintain an active security clearance.
Preferred
- Knowledgeable of common programming languages for software development to support the construction of basic AI/ML applications (e.g., Java, Python)
- Ability to quickly learn new software applications and tools
- Ability to explore and quickly learn computational/data analysis approaches
- Experience with deep learning frameworks such as PyTorch/Tensorflow.
- Knowledgeable about or able to quickly learn video gaming concepts and environments (e.g. Minecraft, StarCraft II)