英语作文介绍信万能（通用2篇）
Dear Sir or Madame,
My name am wang li, this year big four, my specialty was the accounting, the undergraduate course school record, university four years i already is smooth through the english four levels of tests, has obtained accountant the computerization and accountant is employed the credentials, studied diligently about financial each discipline, could utilize the computer skilled, in university period participated in the student association, had the strong communication ability and the power of expression, the work is diligently earnest, also strong learning capability and compatibility, positive enterprising, strove to get the upper hand.
Dear Sir or Madame,
I am a third year mastor 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.
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.
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.