PhD Student Positions
While funding is not guaranteed, many of our PhD students have faculty support. Students who are seeking faculty support are encouraged to identify and connect with a faculty member whose research interests align with theirs and who may be willing to support a student's PhD studies. You may find it helpful to review the various research groups and areas on our website: https://www.augusta.edu/ccs/research.php. This page provides detailed information on research areas such as Distributed and Parallel Computing, Security and Privacy, Formal Methods, Software Engineering and Programming Languages, Information Systems, Cyber-Physical, IoT, and Edge Systems, as well as Artificial Intelligence, Machine Learning, and Data Science.
Contact Us
School of Computer and Cyber Sciences
Summerville Campus
721-1110
"A Robust Framework with Rigorous Semantics and Security Guarantees for Election Day Voter Check-In"
Principal Investigator: Dr. Alex Schwarzmann.
Co-Principal Investigators: Dr. Costas Busch, Dr. Darek Kowalski and Dr. Edward Tremel
Key Objectives: To develop a rigorous scientific foundation for electronic check-in systems, providing "One voter, one vote" guarantee with security and integrity, and responsive to the requirements and needs of election officials and voters.
Preferred Qualifications: Several positions are available for research assistants with interest and/or background in one or more of the following areas: distributed systems, software engineering and system building, cryptography and authentication, networking and network security, data replication, and consistence and fault tolerance.
CyberCorps Scholarship for Service
Principal Investigator: Dr. Michael Nowatkowski
Co-Principal Investigators: Dr. John Heslen, Dr. Darek Kowalski, and Dr. Alex Schwarzmann,
The Scholarship for Service program provides scholarships for up to three years of support for cybersecurity education at the graduate level for PhD students who are U.S. citizens and willing to work for the U.S. government for at least three years after obtaining their degree.
Learning-Enabled Cyber-Physical and Virtual Systems
Principal Investigators: Dr. Jason Orlosky and Dr. Weiming Xiang
Key Objectives: Dr. Xiang and Dr. Orlosky's research interests involve hardware and software tools for cyber-physical systems (CPS). They are also broadly interested in methods and applications across CPS domains, such as drone and robot control, stability analysis, augmented and virtual reality interfaces, hybrid systems, fuzzy logic, and neural networks.
Preferred Qualifications: Seeking students with experience in areas such as control theory and engineering, human interface design, cognitive science, artificial intelligence, and familiarity in one or more of the following: Python, Matlab, C#, and/or C++