英語面試自我介紹（合集）

　　來到一個陌生的地方時，時常要進(jìn)行自我介紹，自我介紹是認(rèn)識自我的手段。到底應(yīng)如何寫自我介紹呢？下面是小編精心整理的英語面試自我介紹，歡迎大家借鑒與參考，希望對大家有所幫助。

　　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 Ph.D. graduate program.Education backgroundIn 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 studentsendowed by my university. Presently, I am preparing my graduation thesis and trying for the honor ofExcellent Graduation Thesis.Research experience 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 transportationscheduling 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 toa 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), Supplychain network research, Hybrid system performance analysis with Petri nets and Data Mining.

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