Profs. Lalitha Sankar and Oliver Kosut, Associate Professors in the School of Electrical, Computer, and Energy Engineering at Arizona State University, have an open doctoral position in their joint research group in the areas of data-driven control and machine learning for the security of power systems, with focus on synchrophasor data. Candidates with a strong background in control theory and mathematics and with an interest in learning power systems and machine learning are encouraged to apply. Please send your CV, GRE and TOEFL scores (if available), and statement of purpose to lsankarlab@gmail.com. Candidates with a very strong academic record are preferred.
Sankar and Kosut’s joint lab has many Ph.D., M.S., and undergraduate students and postdocs, working on several topics ranging from learning theory and its applications to power systems, information theory and privacy, high-dimensional statistics and control, and cybersecurity of the electric power grid. Doctoral students have the potential to work on state-of-the-art research and will have opportunities to present at many important and relevant conferences (e.g., PES general meeting, NAPS, and SmartGridComm for power systems; NeurIPS, ICML, ICLR, AISTATS, ISIT, ITW, and ITA for information and learning theory; IEEE CDC and ACC for controls) and IEEE journals.
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 one of the best power systems programs across the country (and even the world). It also boasts of a very strong program in control and optimization theory, signals and systems, and the data-sciences area with many highly driven and enthusiastic researchers working on cutting-edge research topics.
