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            求職時英語自我介紹

            時間:2026-01-13 03:54:21 求職英語

            求職時英語自我介紹

              處在一個陌生場合時,我們往往需要進行適當的自我介紹,用自我介紹往往可以向他人介紹自己。到底應如何寫自我介紹呢?以下是小編整理的求職時英語自我介紹,歡迎大家分享。

            求職時英語自我介紹

              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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