大學(xué)生一分鐘英語(yǔ)自我介紹范文

　　導(dǎo)語(yǔ)：一分鐘自我介紹是面試中常見(jiàn)的一個(gè)考題，想要在一分鐘之內(nèi)突出自己的優(yōu)勢(shì)，首先還得準(zhǔn)備好一份不錯(cuò)的'自我介紹。下面是小編為大家?guī)��?lái)的大學(xué)生一分鐘英語(yǔ)自我介紹范文，希望對(duì)大家有所幫助。

　　大學(xué)生一分鐘英語(yǔ)自我介紹范文(一)

　　Good afternoon and nice to see you at this sunny afternoon.I am very glad to be here for interview.My name is CNrencai . I come from DLUFL and my major is english special lised in business.Computer， books， films and climbing moutains are my favouriteI have been a class president for nearly 4 years， and I also have been an interpreter at Dalian Garment Fair for twice.

　　I think all these exprience and my responsibility， creating thinking and passion would make me qualify for this job.And what‘s more， my laptop computer is HP， so I have a better way to recgonize HP.I believe that it would be a challenge and a chance for me to be a HP man.That‘s all ，Thank you so much!

　　大學(xué)生一分鐘英語(yǔ)自我介紹范文(二)

　　Good morning, my name is XXX, you can also call meSweety.I am 25 years old and I'm from Jiangxi Province. After graduating from Jiangxi Management of Economy Cadre Institute, the trade economical specialty since 2001, I started to work. So now I have already had more than 6years' working experience.

　　The knowledge I have learned in college and the 6year's working lead me to a person with strong responsiblity and high working efficiency. besides, i am ambicious and flexible. I am not only able to finish the task alone but also to cooperate with other people very well which requires good ablity of communication.

　　Even though, my job in the past six years didn't require English skills that much, I am always very interested in it. What's more, I never stop learning English in my spare time. In my opinion, people improve in the process of work, they also learn from the job.I am a quick learner. So I am totally confident that I can do this job very well. I will try my best to take the responsibilty and do everything as good as I can. Please trust my loyalty and effort, you won't be let down.Thank you very much for interviewing me.

　　大學(xué)生一分鐘英語(yǔ)自我介紹范文(三)

　　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. In 1997, I participated in simulation tool development for the scheduling system in Prof. Wang’s lab. 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. In 1998, 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 1999, I joined the distinguished Professor Yu-Geng Xi's research group aiming at Network flow problem solving and Heuristic algorithm research. Soon I was engaged in the FuDan Gene Database Design. My duty was to pick up the useful information among different kinds of gene matching format. Through the comparison and analysis for many heuristic algorithms, I introduced an improved evolutionary algorithm —— Multi-population Genetic Algorithm. By dividing a whole population into several sub-populations, this improved algorithm can effectively prevent GA from local convergence and promote various evolutionary orientations. It proved more efficiently than SGA in experiments, too. In the second semester, I joined the workshop-scheduling research in Shanghai Heavy Duty Tyre plant. The scheduling was designed for the rubber-making process that covered not only discrete but also continuous circumstances. To make a balance point between optimization quality and time cost, I proposed a Dynamic Layered Scheduling method based on hybrid Petri Nets. The practical application showed that the average makespan was shortened by a large scale. I also publicized two papers in core journals with this idea. Recently, I am doing research in the Composite Predict of the Electrical Power system assisted with the technology of Data Mining for Bao Steel. I try to combine the Decision Tree with Receding Optimization to provide a new solution for the Composite Predictive Problem. This project is now under construction.