Postdoctoral Fellow: AI in Networked Systems & MARL

University of Texas; Austin (TX); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Edge technology facilities

Collaborative environment

Impact on defense-related projects

Job summary

The University of Texas at Austin invites applications for a Postdoctoral Fellow in the Department of Computer Science. The role focuses on engineering and productionizing PIN agents and a training/experiment stack for multiagent RL in mobile networks.

The ideal candidate holds a PhD in CS/AI/Networking, has strong ML and programming experience, and can work across Python and C++/Rust, with experience in network simulators. Salary is competitive; start date immediately; project runs through 2027.

Qualifications

• Ph.D. in CS/AI/Networking earned within the last 3 years.
• Strong experience with AI/ML methods for network optimization.
• Proven programming ability and familiarity with network simulators.
• Collaborative, disciplined research approach.

Responsibilities

• Implement and harden agent/runtime services (Python + C++/Rust) and APIs; package for edge deployments.
• Build and maintain simulation/emulation pipelines (ns3/OMNeT++/CORE/EMANE); create scenario generators.
• Integrate training loops (PyTorch/JAX) and experiment telemetry (Prometheus/Grafana).
• Own CI/CD, testing, and documentation; contribute to technical reports.

Skills

AI/ML methods

network optimization

programming

research collaboration

Education

PhD in CS/AI/Networking

Tools

ns-3

OMNeT++

CORE

EMANE

PyTorch

JAX

gRPC

REST

Python

C++/Rust

Job description

The University of Texas at Austin invites applications for a Postdoctoral Fellow in the Department of Computer Science. The role focuses on engineering and productionizing PIN agents and a training/experiment stack for multiagent RL in mobile networks.

The ideal candidate holds a PhD in CS/AI/Networking, has strong ML and programming experience, and can work across Python and C++/Rust, with experience in network simulators. Salary is competitive; start date immediately; project runs through 2027.