大学生面试时英语自我介绍

[销售工程师面试经历]今天小编在本站上收集与面试相关的资料，无意中看到这份销售工程师面试经历，觉得里面的一些面试心得对正在求职的朋友很有帮助，因此跟大家分享一下，欢迎大家阅读。我们在大会议室...+阅读

英语面试时如何突出口语的优秀呢？英语口语自我介绍既要简单又要突出重点，怎样才能做到这点。以下是一位英语高手在面试时英语自我介绍的资料：

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 Chinas 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 mercial 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: work Scheduling Problem, Heuristic Algorithm research (especially in GA and Neural work), Supply chain work research, Hybrid system performance analysis with Petri s and Data Mining.