Profs. Angelia Nedich and Lalitha Sankar in the School of Electrical, Computer, and Energy Engineering at Arizona State University are looking for a postdoctoral fellow to work on the topics of optimization and learning theory in the context of generative adversarial networks (GANs). An ideal candidate will have a PhD in EE, CS or IE with a strong background in optimization, information theory, and/or statistical learning theory. Familiarity with functional analysis is desirable as the work will explore such connections.Â
Interested candidates should contact Profs. Nedich and Sankar at [email protected] ²¹²Ô»åÌý[email protected] with CV and a list of publications. Applicant will work with both faculty very closely and address fundamental technical challenges in both optimizing and evaluating GANs. This position is funded by the .
Arizona State University is the largest public school in the United States. Its ECEE department is ranked in the top 25 in the country. It also boasts of world-famous faculty in the areas of optimization, communications, signal processing, information theory, and statistical learning theory.
