应聘求职英文自我介绍范文（通用3篇）
各位校领导：
你们好!
我是来自绍兴__镇的许x，出生于19__年x月，未婚，并且，近期不考虑结婚，因为考虑到这个工作的特殊性。我毕业于20__年__农林大学也就是原来的__林学院的信息工程学院电子信息工程专业。各位领导也可以在简历上看到我在大学里所做的一些锻炼和所获得的荣誉。曾经担任过班级团支书、党支部宣传委员、学院学生会主席和信息工程学院__级8个班的辅导员等职务。也组织参与过电脑节、演讲比赛、收废品献爱心、无偿献血、志愿者相关活动等活动。在过去的一年里，我也在杭州一家德资公司相继担任过人力资源与市场调研的相关工作。但是考虑回到绍兴工作，所以现在已经辞职。
我想做辅导员的原因是：这么多年的学生干部经历这么许多恩师让我很早就产生了想要尽可能地回报社会、努力实现自己的人生价值的愿望。特别是在大四第一学期担任学院学生的辅导员时，我与学生建立了深厚的感情。之后，我便发现我对辅导员这份普通而又神圣的工作产生了浓厚的兴趣，我觉得我找到了人生的更加明确的目标。早一段时间，百年校庆上关于对高校教育和高校学生学习的几点要求的讲话后，我更加坚定了要做一名拥有学生的老师和朋友的双重身份的这份辅导员是工作。
接下来，我想讲讲我认为我能胜任这份工作的优势在于以下四点：1、拥有多年的学生工作经历，有利于学生干部的培养以及活动的策划组织实施;2、我参加过工作，对社会、对就业过程有所了解，有利于帮助学生在顺利、高质量地就业;3、一个学期的辅导员工作经历让我明确了辅导员的工作职责，维护校园稳定是前提，主要引导学生思想信念、道德品质，了解学生关注的热点与焦点，组织其他相关教师做好班级建设、学生党建与学生干部培养以及贫困生资助相关的工作，最后就是帮助学生高质量就业，提升学校知名度;4、我有四心，责任心、爱心、细心，耐心，辅导员是一个服务于学生且工作事务繁琐的工作，需要有极强的责任心、爱心、细心，耐心。
各位领导，以上是我的个人信息介绍、我想做辅导员这份工作的理由与我的个人优势，请各位领导批评指正。
各位老师：
我叫，20xx年毕业于江苏省盐城师范音乐班。从教以来一直担任小学音乐学科教学，曾获得“江苏省优秀辅导员”称号、无锡市小学音乐学科教学能手、无锡市小学音乐课比赛一等奖、参加省七市八郊区汇课比赛获得一致好评。在多年的教育教学中，积极参加校“情知教学”与“学生道德情感的培养”教改课题实验。形成了“情知互动，寓教寓乐”的教学风格，依托共鸣的师生情感，利用音乐艺术的独特魅力和特性吸引、感染学生自觉自愿、主动积极并富有创造性地在无拘无束、轻松愉快的氛围中参与音乐活动。在音乐活动中鼓励学生张扬个性，发挥潜能，培养引导学生终身喜爱音乐的兴趣。
我的教育格言：给孩子们一个歌唱着的快乐人生。 我的自我介绍完毕，谢谢大家！
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.
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.
I hope to study in depth
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.