Postdoctoral Fellow, Department of Computer Science

University of Texas at Austin • Austin, TX

87d • $70,000

About The Position

The Postdoctoral Fellow position in the Department of Computer Science at the University of Texas at Austin is focused on federally sponsored research in predictive intelligent networking. The position is expected to continue until December 31, 2027, and requires eligibility to work in the United States on a full-time basis. The role involves engineering and productionizing components of PIN agents and the supporting training/experiment stack, including scalable simulation/emulation harnesses, on-node runtimes, telemetry, and CI/CD. The successful candidate will collaborate with researchers on multi-agent reinforcement learning, robust decision-making under uncertainty, and contingency-aware multi-path planning for mobile networks.

Requirements

• A Ph.D. in Computer Science, AI, Networking, or a related discipline, earned within the last three years.
• 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.

Nice To Haves

• 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.

Responsibilities

• Implement and harden agent/runtime services (Python + C++/Rust), data models, and APIs (gRPC/REST); package for edge compute deployments.
• Build and maintain simulation→emulation→HIL pipelines (e.g., ns-3/OMNeT++/CORE/EMANE); scenario generators; reproducible experiment harnesses.
• Integrate training loops (PyTorch/JAX), experiment orchestration, metrics/telemetry (Prometheus/Grafana-class).
• Own CI/CD, testing, and documentation; contribute to technical reports.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 251-500 employees