自我介绍范文

英文版自我介绍

时间:2022-11-21 11:09:21 自我介绍范文 我要投稿

英文版自我介绍范文

  当来到一个陌生的地方时,我们通常会被要求作自我介绍,自我介绍是一展示自己的手段。那么我们该怎么去写自我介绍呢?下面是小编帮大家整理的英文版自我介绍范文,希望能够帮助到大家。

英文版自我介绍范文

英文版自我介绍范文1

  各位考官下午好!很高兴能有这次宝贵的机会参加贵校的面试,应聘中学英语教师一职。我叫???,毕业于安阳工学院,主修商务英语专业。毕业后获得文学学士学位,在校期间通过了专四,普六普四考试,普通话获二级甲等,并且能熟练运用办公软件。我性格开朗,平易近人,做事细心有耐心,并且我喜欢和孩子们相处。

  大学期间我曾做过初中生英语家教,对初中生的英语水平有了一定的了解。我深知初中正式打基础的时候,所以我针对初中生基础薄弱的特点专门制定了一个课程计划,如果能有幸通过面试的话,我将在试讲时向大家讲解我的课程计划。

  教师是一个神圣的职业。在我求学的十几年中,我见证了身边老师们兢兢业业无私奉献的教学精神,并深深体会到作为一名“人类灵魂的工程师”的重要意义,这更加坚定了我想成为一名教师的愿望。

  我是本市考出去的学生,对这片生我养我的土地有很深的感情。现在毕业了我想为家乡的教育事业出分力做出一份贡献。贵校是我的`母校,我很高兴能有幸与众多教过我课的老师们做同事。我是一个学习能力强,有上进心的人。我将虚心的向前辈们请教学习,做一个尽职尽责的好教师。

  我的家族中出了三个老师,我想成为第四个。上学时同学们曾经说我看起来像老师,现在我想把梦想变成现实。请众位考官慎重考虑我的请求,如能通过我将不胜感激。谢谢!

英文版自我介绍范文2

  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 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, and my overall gpa(89.5/100) ranked no.1 among 113 students. in 1999, i got the privilege to enter the graduate program waived of the admission test. i selected the shanghai jiao tong university to continue my study for its best reputation on combinatorial optimization and network scheduling where my research interest lies.

  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. 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 xis 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.

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