The University of Texas at Austin
Austin, TX, USA
Postdoctoral Fellow, Department of Computer Science
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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.
Working Conditions
- Standard office environment