Data Science/Cognitive Science/Computer Science Graduate Research Assistant

Graduate Research Assistant (GRA)

Georgia Tech Research Institute (GTRI)

About the Role

• Quarter-time (25%) graduate assistantship for one semester (Spring 2027).
• Opportunity to participate in diverse scientific and technological endeavors.
• Utilize state-of-the-art equipment and improve technical and leadership skills.
• Position within GTRI's Sensors and Electromagnetic Applications Laboratory (SEAL) on the Command, Control, and Communications (C3D) team.

Key Responsibilities

• Assist Research Scientists in Cognitive Science and Computer/Data Science related research tasks.
• Learn about C3 operations, design and development of human-centered artificial intelligence, cognitive modeling, and simulation.
• Conduct research under the direction of Research Scientists.
• Participate in computational analysis using standard analysis packages (e.g., R, SPSS, or others).
• Report analysis results according to professional publication standards.
• Perform exploratory research (or human subjects research if applicable).
• 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.

Requirements & Tech Stack

• Pursuing a Master’s degree or PhD at Georgia Tech in Computer Science, Cybersecurity, Human Computer Interaction, Psychology, Public Policy, or International Affairs.
• Must be enrolled full-time (12+ credit hours).
• Must have a 3.0 or higher cumulative GPA.
• Commit to 13-20 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.
• U.S. Citizenship is required due to research contracts with the US federal government.

Preferred Qualifications

• Ability to clearly communicate technical ideas.
• Ability to quickly learn new software applications and tools.
• Ability to explore and quickly learn computational analysis and/or qualitative analysis approaches.
• Experience with common programming languages for software development to support the construction of basic AI/ML applications (e.g., Java, Python).
• Experience with machine learning frameworks such as PyTorch/Tensorflow.
• Knowledgeable about or able to quickly learn video gaming concepts and environments.
• Ability to learn human systems engineering/human-centered design approaches with mentor guidance.