大學生面試的自我介紹
自我介紹要怎樣寫才能寫得更好?應屆生簡歷網為您提供大學生面試的自我介紹 參考,為了讓您在求職時能寫出更好的求職簡歷, 為您推薦一份計算機系畢業生簡歷為寫求職個人簡歷參考模板。應屆生在寫個人簡歷時也可看看其它相關的個人簡歷模板如這份計算機畢業生簡歷僅為模板參考,為了更詳細讓招聘單位更瞭解自己最好附帶一份求職信,寫個人求職簡歷時一定要按自己本人的真實情況填寫千萬不要誇大自己。
大學生面試的自我介紹
General Introduction
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 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 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 GA and Neural network), Supply chain network research, Hybrid system performance analysis with Petri nets and Data Mining.
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