UT Austin Postdoctoral AI Research Position

This exciting opportunity at the University of Texas at Austin involves working on a cutting-edge AI networking project under the guidance of Professor Chandrajit Bajaj. Please see the job description and details for below for more information on applying.

Project Affiliation: Army Contract for AI-Driven Network Optimization

Project Focus:

The project focuses on developing Predictive Intelligent Networking (PIN) agents, employing advanced AI techniques for rapid response decision-making in predictive intelligent communication networks. Their innovative approach centers on enhancing network efficiency, reducing overhead traffic, automating PACE communications planning, and improving scalability in challenging environments. This project is dedicated to crafting advanced machine-learning algorithms specifically designed for network optimization and security challenges. Through rigorous real-world simulation scenarios, we aim to deliver robust solutions that excel in environments with incomplete or uncertain data. This role offers the chance to be part of a pioneering effort to create generic solutions for heterogeneous Army networks working within the confines of existing network protocols

Job Details
Eligibility: Must be eligible to work in the United States on a full-time basis for any employer.
Duration: This position is expected to continue until March 1, 2027.
Deadline for Application: Applications will be reviewed continuously until the position is filled.
Contact Information: For inquiries, please reach out to Prof. Chandrajit Bajaj at DBGapplications@cs.utexas.edu

* Note: Only applications through Workday will be considered.

Additional Information: