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# Assured Software and Information Division GRA - Spring 2027 - CIPHER

- **Company:** The Georgia Tech Research Institute
- **Location:** Atlanta, GA, United States
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Cipher, Static Program Analysis, Cyber Security, Computer Engineering, Data Security, Dynamic Program Analysis, Information Theory, Python (Programming Language), Machine Learning, Natural Language Processing, Program Analysis, Tensorflow, Software Engineering, Reinforcement Learning, Pytorch, Malware, Keras, Scikit Learn, Information Technology, IDA Pro, Reverse Engineering Software, Programming Languages
- **Published:** October 12, 2026
- **Apply:** https://diversityjobs.com/career/18632127/Assured-Software-Information-Division-Gra-Spring-2027-Cipher-Georgia-Atlanta

## About the Role

Graduate Research Assistant

 * Pursuing a Master's degree or PhD at Georgia Tech in Computer Engineering, Computer Science, Electrical Engineering, Mathematics, or related field
 * 3.0 or higher cumulative GPA
 * Must be enrolled full-time (12+ credit hours) during working semesters
 * Commit to 12-20 hours of work per week

Preferred Qualifications

 * Interest in cybersecurity
 * Experience with Python
 * Experience with a Machine Learning package such as Tensorflow, Keras, Sklearn, or Pytorch
 * Software reverse engineering experience with Ghidra or IDA Pro
 * Experience with software analysis tools/libraries

## Description

The Assured Software and Information Division (ASID) Cybersecurity, Information Protection, and Hardware Evaluation Research Laboratory(CIPHER) is seeking a Graduate Research Assistant for Spring 2027 with an interest in cybersecurity. ASID's core research areas are software assurance, ML/AI algorithm security, and quantitative methods. Students in ASID may work on the following as applied to diverse cyber problems:

 * Data science
 * Foundations and applications of AI/ML
 * Information theory
 * Machine learning experimentation
 * Malware analysis
 * Natural language processing
 * Programming language and compiler theory
 * Quantitative reasoning
 * Reinforcement learning
 * Software analysis (including static analysis, dynamic analysis, symbolic execution, and abstract interpretation)
 * Software development for machine learning
 * Software reverse engineering