简单篇英文面试自我介绍

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1、简单篇英文面试自我介绍自我介绍就是把自己的一些称呼、爱好等介绍给别人,让别人在简短的介绍后有所理解,这也是拉近间隔 的方式,假设你还不知道怎么自我介绍,就上吧!下面是一篇英文自我介绍。General IntroductionI 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

2、Ph.D.graduate program.Education backgroundIn 1995, I entered the Nanjing University of Science Technology (NUST) - widely considered one of the Chinas best engineering schools.During the following undergraduate study, my academic records kept distinguished among the whole department.I was granted Fi

3、rst 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

4、 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 ofE_cellent Graduation Thesis.Research e_per

5、ience and academic activityWhen 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 grou

6、ps 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 mercial product.In retrospect, I find myself standing on a solid basis in both theory and e_perience, which has prepared me for the Ph.D.program.My future research interests include: work Scheduling Problem, Heuristic Algorithm research (especially in GA and Neural work), Supply chain work research, Hypid system performance analysis with Petri s and Data Mining.第 页 共 页

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