Postdoctoral Fellow in Artificial Intelligence and Machine Learning
The Fellow will develop and evaluate ML techniques to estimate and optimize resource-efficiency parameters under complex, real-world conditions. The position includes close collaboration with AI/ML researchers across SMU, with a focus on advancing scalable distributed computing, resource-efficient AI, and edge computing systems.
