Postdoctoral Fellow, Department of Computer Science
Core
Engineer and productionize components of PIN agents and supporting training/experiment stacks for federally sponsored research in predictive intelligent networking.
Role type
Postdoctoral Fellow (Research & Engineering)
Builds
Scalable simulation/emulation harnesses, on-node runtimes, telemetry, and CI/CD pipelines for multi-agent RL and contingency-aware multi-path planning.
Domain
Networking, AI/Machine Learning, Federally sponsored research (C5ISR)
Deliverable
production ML models | infrastructure
Required skills
AI/machine learning methodologies, network optimization, programming (Python, C++, Rust), network simulation tools (ns-3, OMNeT++, CORE, EMANE), training loops (PyTorch, JAX), CI/CD, gRPC/REST APIs
Preferred skills
Publications in AI/ML/networking, interdisciplinary research experience, familiarity with military/defense communication systems
Technologies
Python, C++, Rust, PyTorch, JAX, ns-3, OMNeT++, CORE, EMANE, gRPC, REST, Prometheus, Grafana
Responsibilities
Implement and harden agent/runtime services and data models; Build and maintain simulation→emulation→HIL pipelines; Integrate training loops and experiment orchestration; Own CI/CD, testing, and documentation.
Seniority
Postdoctoral Fellow (Early-career researcher)
