About the position
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.
Responsibilities
- Develop AI agents focused on optimizing network topology for peak performance.
- Work collaboratively through various project stages, from conceptualizing theoretical frameworks to deploying practical solutions.
- Drive continuous enhancement of AI agent capabilities, focusing on PACE Routing, Load Balancing, and related features.
- Contribute to the production of detailed technical reports and presentations that showcase project progress and breakthroughs.
Requirements
- A strong foundation in AI/machine learning and software development.
- Experience with network simulation, optimization, and related technologies.
- Production experience with at least two programming languages.
- Proficiency with tools pertinent to AI development and network engineering.
- Versatility in adapting to the dynamic needs and phases of an evolving, research-intensive project.
- At least 1 year experience in software development or system administration.
Nice-to-haves
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a closely related field.
- Demonstrable experience in an interdisciplinary team, preferably within a research or defense-focused environment.
- A solid understanding of communication protocols and experience in network analysis and data systems.
Benefits
- 100% employer-paid basic medical coverage
- Retirement contributions
- Paid vacation and sick time
- Paid holidays
