Assured Software and Information Division GRA – Fall - CIPHER
Listed on 2026-06-09
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IT/Tech
Data Scientist, Cybersecurity
Overview
The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). Founded in 1934 as the Engineering Experiment Station, GTRI has grown to more than 2,900 employees, supporting eight laboratories in over 20 locations around the country and performing more than $940 million of problem‑solving research annually for government and industry. GTRI's renowned researchers combine science, engineering, economics, policy, and technical expertise to solve complex problems for the U.S. federal government, state, and industry.
GeorgiaTech's Mission and Values
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
- Students are our top priority.
- We strive for excellence.
- We thrive on diversity.
- We celebrate collaboration.
- We champion innovation.
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Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.
Job DescriptionThe Assured Software and Information Division (ASID) Cybersecurity, Information Protection, and Hardware Evaluation Research Laboratory (CIPHER) is seeking a Graduate Research Assistant for Fall 2026 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
Minimum Qualifications
- 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
- 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
12–20 hours per week
U.S. Citizenship RequirementsDue to our research contracts with the U.S. federal government, candidates for this position are required to be U.S. citizens.
Clearance Type RequiredNone
Housing and RelocationHousing and relocation assistance are not available for this position.
Equal Employment OpportunityThe Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The University is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and University policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, and services.
Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.
Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of race, ethnicity, ancestry, color,…
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