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信息類應(yīng)聘英語(yǔ)自我介紹

時(shí)間:2021-05-28 14:02:01 自我介紹 我要投稿

信息類應(yīng)聘英語(yǔ)自我介紹

  General Introduction

信息類應(yīng)聘英語(yǔ)自我介紹

  I am a third year master major in automation at *****University, ***. China. With tremendous interest in Industrial Engineering, I am writing to apply for acceptance into your Ph.D. graduate program.

  Education background

  In ***, 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 ***8 I got the privilege to enter the graduate program waived of the admission test.

  At the period of my graduate study, my overall GPA***ranked top ** 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 *and Neural **), Supply chain network research, Hybrid system performance analysis with Petri nets and Data Mining.

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