自动化专业学士求职英文自我介绍范文

自动化专业学士求职英文自我介绍范文 标签: 面试自我介绍,英语自我介绍,自我介绍ppt http://www.519jianli.com

General Introduction 　　I Am A Third Year Master Major In Automation At Shanghai Jiao Tong University, p. R. China. With Tremendous Interest In Industrial Engineering, I Am Writing To Apply For Acceptance Into Your Ph.D. Graduate Program. 　　Education Background 　　In 1995, I Entered The Nanjing University Of Science&Technology (NUST)- - Widely Considered One Of The China ' S Best Engineering Schools. During The Following Undergraduate Study, my Academic Records Kept Distinguished Among The Whole Department. I Was Granted First Class Prize Every Semester, in 1999, I Got The Privilege To Enter The Graduate Program Waived Of The Admission Test. 　　At The Period Of My Graduate Study, my Overall GPA(3.77/4.0) Ranked Top 5% In The Department. In The Second Semester, I Became Teacher Assistant That Is Given To Talented And Matured Students Only. This Year, I Won The Acer Scholarship As The One And Only Candidate In My Department, which Is The Ultimate Accolade For Distinguished Students Endowed By My University. Presently, I Am Preparing My Graduation Thesis And Trying For The Honor Of Excellent Graduation Thesis. 　　Research EXPerience And Academic Activity 　　When A Sophomore, I Joined The Association Of AI Enthusiast And Began To Narrow Down My Interest For My Future Research. With The Tool Of OpenGL And Matlab, I Designed A Simulation Program For Transportation Scheduling System. It Is Now Widely Used By Different Research Groups In NUST. I Assumed And Fulfilled A Sewage Analysis&Dispose Project For Nanjing Sewage Treatment Plant. This Was My First Practice To Convert A Laboratory Idea To A Commercial Product. 　　In Retrospect, I Find Myself Standing On A Solid Basis In Both Theory And EXPerience, which Has Prepared Me For The Ph.D. Program. My Future Research Interests Include: Network Scheduling Problem, heuristic Algorithm Research (especially In GA And Neural Network) , supply Chain Network Research, hybrid System Performance Analysis With Petri Nets And Data Mining.