Performs complex laboratory and diagnostic tests with minimal supervision. Maintains records associated with diagnostic/lab tests. Determines proper tests for research work. Conducts library searches for information related to research problems. Supervises maintenance of the facility and other laboratory assistant. Extensive and comprehensive knowledge of related course material. Experience with diagnostic and laboratory procedures/equipment required.

The student will conduct computational experiments involving novel parameter-efficient low-rank training and fine-tuning algorithms of deep neural network. To this end, the student needs to be familiar with programming in Python and specifically PyTorch, as well as have a deep understanding of non-convex optimization algorithms based on the framework of iteratively reweighted least squares. The student will also assist with writing parts of a research paper that is planned to be submitted to a machine learning research conference.