经典的英语自我介绍2篇(英语自我介绍:展示经典魅力的巧妙言辞)

Are you tired of using the same old cliché introductions when meeting new people? Look no further! In this article, we will explore some classic and timeless English self-introductions that will make a lasting impression. Whether you are attending a job interview, meeting new colleagues, or socializing at an event, these self-introduction phrases will showcase your confidence and charm. Get ready to leave a lasting impression with these classic English self-introductions!

经典的英语自我介绍2篇

第1篇

my name is anyjob. from xx. graduated from xxx school, is a professional electronic information technology and application of the graduates and xx. below is my self-introduction:

was born in an ordinary rural family, i grew up from the countryside, since the childhood to train me to bear hardships and stand hard work of good quality.

character cheerful, warm, strong motivation, willing to accept and learn new things, with a strong consciousness ability and independent ability to fulfil the task. since since the door, and a clear direction, pay much attention to their various aspects ability training. in the study, positive enterprising, love major, professional, outstanding achievement in second class scholarship and get a scholarship. has won the excellent student learning ", "zunzhangshouji born", "computer grade examination", "radio debugging work test" certificates.

i'm easy to into the collective, team spirit and collective sense of honor. during the period of school, actively participate in school activities held strong professional dedication and high sense of responsibility. also take part in the school amateur party school, that i thought has been greatly improved, i learned that the people's interests, and all with the company's interests.

i get along well with people, can the harmonious to deal with the relationship, the lower level, and have got good adaptation ability, communication skills, coordination and management ability, and have a good quality in the heart. strict family education that i grew up in the dependable, serious human family trait. i can in the work to high quality and efficiency, but also the enthusiasm of the big investment product.

经典的英语自我介绍3篇

第2篇

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.

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.

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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