Postdoc in Robust ML Architectures & Psi-NN Research

A leading university in the US is seeking a Postdoctoral Fellow to conduct research in machine learning and neural network architecture design. The role focuses on computational efficiency and robustness in constrained environments. Candidates should hold a Ph.D. in Electrical Engineering or a related field, with expertise in machine learning and neural networks. Preferred qualifications include experience with PyTorch and model optimization for resource-constrained environments. This position offers a competitive salary and the chance to contribute to impactful research. #J-18808-Ljbffr