面试时，我们会面对形形色色的问题，而最令人哑口无言的，往往是一些最简单和最常见的题目，比如\"请你自我介绍一下\"。下面就是一篇自己介绍的经典范文,希望对大家求职有所帮助。
General Introduction 总体介绍
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 教育背景
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 Cla Prize every semester,In 1999, I got the privilege to enter the graduate program waived of the admiion 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 aistant 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 研究经验和学术活动
When a sophomore, I joined the Aociation 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 aumed 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.
