Job Title: Post-Doctoral Researcher
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 in the conceptualization and development of theoretical frameworks to underpin AI-driven network optimization.
- Engage in the design and iterative refinement of AI agents with a special focus on traffic prioritization and network adaptability.
- Play a pivotal role in controlled scenario testing, contributing to rigorous result analysis and validation.
- Support the research team by assisting in the preparation of detailed technical reports and presentations that demonstrate project milestones and insights.
Technical Requirements:
- A recently earned Ph.D. in Computer Science, AI, Networking, or a related discipline.
- Solid experience with AI/machine learning methodologies, particularly those applicable to network optimization.
- Proven ability in programming and familiarity with network simulation tools and environments.
- A strong propensity for innovative thinking coupled with a disciplined approach to research and collaboration.
Preferred Qualifications:
- Publications or significant contributions to the field of AI, machine learning, or networking.
- Experience with interdisciplinary research and collaborative projects.
- Familiarity with military or defense communication systems is a plus.
What We Offer:
- A competitive post-doctoral salary and comprehensive benefits.
- Access to leading-edge technology and research facilities.
- A collaborative environment that fosters growth and innovation.
- Involvement in a project with tangible impact on the future of C5ISR systems.