Texas A&M University-Corpus Christi (TAMU-CC) is seeking a doctoral student to advance research in autonomous systems through the development of trusted, event-driven sensing and multi-domain swarm frameworks for the Autonomy Research Institute (ARI).
Requirements
- Master’s degree (thesis-based) in Computer Science, Electrical Engineering, Computer Engineering, or Mechatronics Engineering.
- Strong background in one or more of the following: autonomous systems, AI/ML, sensor fusion, robotics, computer vision, control systems, or wireless communications.
- Event-based/neuromorphic vision sensors (DVS)
- Enhanced object detection and classification frameworks
- Novel multi-domain swarm coordination protocols
- Long-range communication architectures (e.g., LoRa)
- Sensor fusion, AI, control theory, event-based computing, and communications
Responsibilities
- Development of trusted, event-driven sensing and multi-domain swarm frameworks.
- Integration of event-based/neuromorphic vision sensors (DVS).
- Enhancement of object detection and classification frameworks.
- Development of novel multi-domain swarm coordination protocols enabling adaptive behavior across air, land, water, and space domains.
- Implementation of long-range communication architectures (e.g., LoRa) for resilient operation in GPS-denied environments.
- Leveraging advances in sensor fusion, AI, control theory, event-based computing, and communications.
- Building resilient autonomous systems for real-world challenges.
Other
- Highly motivated doctoral student.
- Demonstrated research ability and motivation for academic publishing.
- Admission to TAMU-CC’s Ph.D. program in Computer Science by November 15, 2025.
- US Citizens preferred, but permanent residents and international applicants will be evaluated.
- CV/Resume
- Master’s thesis abstract or summary
- A brief statement of research interests and relevance to autonomy, robotics, or AI
- Contact information for at least two references
