Data Science/Cognitive Science/Computer Science Graduate Assistant

Job Title: Data Science/Cognitive Science/Computer Science Graduate Assistant - Spring 2027

Overview

The Georgia Tech Research Institute (GTRI), the applied research division of the Georgia Institute of Technology, is seeking a Graduate Assistant for the Sensors and Electromagnetic Applications Laboratory (SEAL) Command, Control, and Communications (C3D) team for the Spring 2027 semester. This is a quarter-time (25%) assistantship.

About the Role

This position offers opportunities to participate in diverse scientific and technological endeavors, utilize state-of-the-art equipment, and rapidly improve technical and leadership skills.

Key Responsibilities

• Assist Research Scientists in various Cognitive Science and Computer/Data Science related research tasks.
• Assist in learning 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 such as R, SPSS, or others used in scientific research.
• Report the results of analysis according to professional publication standards.
• 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.

Requirements & Tech Stack

• Pursuing a Master's or PhD degree at Georgia Tech in Computer Science, Cybersecurity, Human Computer Interaction, Psychology, Public Policy, or International Affairs.
• Registered for at least 3+ credit hours.
• 2.5 or higher cumulative GPA.
• 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.
• 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.
• US Citizenship is required due to research contracts.

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.

Work Hours

• 10 hours per week.

Logistics

• Housing and relocation assistance are not available.