Postdoctoral Fellow, Department of Computer Science Full-time

Postdoctoral Fellow, Department of Computer Science

Hiring Department: Department of Computer Science

Position Open To: All Applicants

Weekly Scheduled Hours: 40

FLSA Status: Exempt

Earliest Start Date: Immediately

Position Duration: Expected to Continue Until Dec 31, 2027

Location: AUSTIN, TX

General Notes:

Project Affiliation: Federally sponsored research in predictive intelligent networking

Position expected to continue until March 1, 2027.

Must be eligible to work in the United States on a full time basis for any employer.

Purpose:

Engineer and productionize components of PIN agents and the supporting training/experiment stack: scalable simulation/emulation harnesses, on-node runtimes, telemetry, and CI/CD. You'll collaborate with researchers implementing multi-agent RL, robust decision-making under uncertainty, and contingency-aware multi-path planning for mobile networks.

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.

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.

Required Qualifications

• 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.

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.

Salary Range

$70,000+ depending on qualifications

Working Conditions

• Standard office environment

Required Materials

• Resume/CV
• Letter of Interest with research statement
• 3 reference letters
• Ph.D. verification