求职简历上的英文自我介绍

[求职面试该如何自我介绍]求职面试该如何自我介绍？一．详细了解自我介绍的分类简单来讲自我介绍根据介绍人的不同，可以分为主动型自我介绍和被动型自我介绍两种类型。 (1)在社交活动中，在欲结识某个人或...+阅读

求职简历上的英文自我介绍

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 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. 自我介绍网 s: fanwen51./ziwojieshao/

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.