Job Title: Software Engineer (IT Network/Security Specialist)
Location: University of Texas at Austin
Salary: Negotiable based on experience
Project Affiliation: AI-Driven Networking Solution for C5ISR Applications
About the Project: This exciting opportunity at the University of Texas at Austin involves working on a cutting-edge AI networking project under the guidance of Professor Chandrajit Bajaj. The project focuses on developing Predictive Intelligent Networking (PIN) agents, employing advanced AI techniques for rapid response decision-making in predictive intelligent communication networks. Our innovative approach centers on enhancing network efficiency, reducing overhead traffic, automating PACE communications planning, and improving scalability in challenging environments. Our project is dedicated to crafting advanced machine learning algorithms specifically designed for network optimization and security challenges. Through rigorous real-world simulation scenarios, we aim to deliver robust solutions that excel in environments with incomplete or uncertain data. This role offers the chance to be part of a pioneering effort to create generic solutions for heterogeneous Army networks, working within the confines of existing network protocols.
Key Responsibilities:
- Collaborate with a dedicated team to enhance network topologies, ensuring data transfer is optimized for efficiency and security within AI-driven communication frameworks.
- Develop and enforce comprehensive security protocols, aiming to safeguard network systems against a variety of threats and vulnerabilities.
- Play a pivotal role in the conceptualization, development, and fine-tuning of AI agents designed to intelligently manage and optimize network operations.
- Provide significant contributions to the simulation platform, engaging in rigorous testing and validation to ensure performance and resilience under real-world operational scenarios.
- Leverage advanced machine learning techniques to address and overcome challenges in network optimization and security, particularly in scenarios characterized by data paucity or ambiguity.
Technical Requirements:
- Proficiency in networking and security protocols.
- Demonstrated experience with AI/machine learning, particularly in networking contexts.
- Strong programming skills and familiarity with network emulation tools like EMANE.
- Ability to work methodically in a research-focused, phased project environment.
Preferred Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Networking, Cybersecurity, or a related field.
- Prior experience in a research or project-based environment, especially in military or defense-related projects.
- Knowledge of PACE Routing, Load Balancing, and Traffic Prioritization techniques.
What We Offer:
- A dynamic and collaborative research environment at the University of Texas at Austin.
- Opportunities to work on pioneering technologies in AI and network security.
- Access to state-of-the-art facilities and resources at the Computer Visualization Lab.
- A chance to contribute to a project with significant impact in the field of C5ISR communications.