Profs. Lalitha Sankar, Oliver Kosut, and Bruno Sinopoli at Arizona State University seek a postdoctoral fellow to work at the intersection of control and machine learning, with applications to cyber-physical systems, especially emerging applications in the electric power grid. An ideal candidate will have a PhD in EE or CS or IE with a strong background in learning, control, and/or information theories. Familiarity with reinforcement learning is highly desirable. Knowledge of the complex human-cyber-physical systems such as the electric grid, robotics, autonomous systems and/or a curiosity in applying to such domains is highly desirable as the work will explore such connections.
Interested candidates should contact Profs. Sankar, Kosut, and Sinopoli at [email protected], [email protected], [email protected] with CV and publications.
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 has very strong programs in various sub-areas of EE including information and data sciences, power systems, circuits, to name a few. It also boasts of world-famous faculty in the areas of optimization, communications, signal processing, information theory, and learning theory including Dimitri Bertsekas, Angelia Nedich, Gautam Dasarathy, Daniel Bliss, Ahmed Alkhateeb, Nicolo Michelusi, and Shaofeng Zou. There is very active research conducted in all these areas and a growing focus on data science, AI, and ML.