Applications are invited for a Ph.D. student position in Dr. Huazhen Fang's group at the Department of Mechanical Engineering, University of Kansas. This position can start as early as January 2018. The candidate will work on a project concerned with estimation and filtering for linear and nonlinear systems. He/she will conduct fundamental and applied research involving Bayesian estimation, Kalman filtering, particle filtering, machine learning and optimization. A background in the broad areas of estimation, detection, control, signal processing, mathematics, and machine learning will be desirable. A master's degree is preferred but not required. The successful applicant will be awarded a competitive scholarship covering both tuition and living expenses. Correspondence can be addressed to Dr. Huazhen Fang at fang@ku.edu.
方华臻教授简介
方华臻教授现任美国堪萨斯大学机械工程系助理教授。2002年进入西北工业大学教改班学习，2006年获计算机科学与技术专业学士学位，2009年于加拿大萨斯卡彻温大学（University of Saskatchewan）获控制理论专业硕士学位，2014年毕业于美国加州大学圣地亚哥分校（University ofCalifornia, San Diego），获博士学位。研究方向是控制理论及应用，集中在最优估计、系统辨识、自适应控制和分布式控制等，应用包括先进能源管理、机械电子和环境监测。研究成果发表于四十篇论文和两项美国专利（另有两项申请中），实验室设备包括先进的能源存储系统测试设备和分布式机器人等。研究得到美国联邦科研机构和工业界资助。曾获得IEEE Transactions on Cybernetics 2016年杰出审稿人奖、Big XII大十二联盟奖教金和堪萨斯大学Wesley G. Cramer杰出机械工程教师奖。