Postdoctoral Fellowship in AI, Machine Learning for Network Optimization and Distributed Systems.

A Postdoctoral fellow position to lead research at the intersection of AI, Machine Learning, and network benchmarking to estimate and optimize network performance in real-world, distributed systems. Working in collaboration with the AT&T Center for Virtualization, the Fellow will focus on scalable computing, context-aware networking, and secure systems. Responsibilities include conducting original research, designing algorithms, collaborating on grant proposals, mentoring students, and publishing in top venues.
Applicants should hold a PhD in Computer Science, Electrical Engineering, or a related field, with strong expertise in AI/ML, experience in parallel and GPU computing, and excellent English communication skills.