发布时间：2011-11-17

　　对于计划申请美国研究生的人来说，需要准备的美国研究生申请材料有很多，其中一份适合的简历，可以帮助你顺利敲开美国院校的大门，对于美国研究生申请中简历的内容要求前面有了介绍，下面就来讲讲申请美国研究生的简历格式有哪些要求。

　　下面是对美国研究生申请中简历格式的详解：

　　1. Personal Information

　　这部分内容大家可以看到，其实就是自己的一些基本内容，这部分内容按要求写好就行。

　　2. Academic Background

　　这个部分就是我们开始发挥的地方了，这个其实就是education background,就是把我们的教育经历写出来，一般先从最高学历开始写，写清时间，学院，学校，学历。我要补充的是，可以在这部分写上你的排名情况或者GPA，还有就是你获得的奖励(奖学金)以及你在校担任的职务(比如学生会干部)。为什么在这里写呢?我认为因为这里是整个CV或R的前半部分，而Academic Background这部分是很重要的，所以在这里把自己在校的情况先做个小结，可以让老美一目了然，很清楚。可以达到我们迅速吸引其目光的作用。

　　3. Professional Certifications

　　这个部分就是让我们写出自己所获得的一些专业证书，所以这就提醒我们，在大学期间最好是参加一些专业的证书考试，当然最好是知名一些的证书，不过实在没有，一些省级的证书也可以。

　　4. Skills

　　这个部分要求我们展现我们的专业技能，这个部分建议大家要多些出自己的特长和优势，比如CS的，就要在写的时候举一些自己的例子，要多列出自己做过的项目，这样才有说服力。不要写上一大推技能的名称，这样一个是乱，一个是感觉缺乏可信度，要增加可信度就一定要有一些佐证，用例子来证明。当然，将自己的特长归归类是很好的做法，这样可以使得老美一眼就能看到他需要了解到的信息。

　　5. Awards

　　这个部分其实在第2个部分时，我就建议大家写了，不过这里就是详细的介绍了，这里的奖励，可以包括各种奖励，学术的，证书的，平时活动获得的，都可以，建议在这里大家可以尽可能的将自己的奖项都列出，当然重点的放在前面，可以有意识的分分类。

　　6. Activities

　　这个部分在第2部分也有涉及，这个部分主要是介绍我们在校园的一些活动，参与的社团等，这个部分大家可以将自己参加的活动分项列出，并写出自己在这些活动中的作用以及一些感受。老美挺看重一个学生的课外活动方面的，所以我们平时在校时应该积极参加校内的一些活动或社团，这样一方面是可以锻炼我们自身的能力。
 
　　美式简历划分为四大部分

　　一般来说，美式简历分为个人信息、教育背景、工作背景和其他支持性信息这四大部分。在这四大部分中，工作背景是简历的重头戏。

　　第一、个人信息：

　　在简历的顶头正中央处写明自己的姓名，并用大写加黑体标出。并且姓名下面写清自己的永久居住地址、邮编、电话和常用的电子邮件地址。另外，在简历的个人信息的写作中绝对不能用缩写。

　　第二、教育背景：

　　申请人一定要以编年体的形式写清楚自己的教育背景。标明自己原来所毕业的院校的名称、在校学习的年限、授予了什么学位以及在校期间读了什么专业的学位。

　　第三、工作背景：

　　这一部分是美国大学教授最看重的一部分。在这一部分里，申请人要以从近到远的时间顺序表明自己所就职的公司的名称、职位、以及就职时间。另外更重要的是要以最简明的语言写出自己的工作描述，语言简洁并不意味着含糊不清，同时申请者要把自己的工作成绩详细的写明，最好以数据来作为支持。另外，每一项的工作描述不要超过两行。只有这样，美国大学的教授才会更加准确的判断申请人的背景、技能、兴趣、职业目标，并且判断申请人是否能给其所带的项目做出贡献。

　　第四、其他支持性信息：

　　以最短的文字说明自己在上学期间或在工作期间，是否参加过一些公益性活动或获得过什么奖项。这一部分不用写太多，保证简历在一篇内完成即可。

　　通过上面对申请美国研究生的简历格式要求的介绍，相信对于很多计划申请美国研究生的人来说，可以参考上述的信息来做好美国研究生申请的文书准备，如果上面的信息不能满足你的要求，请直接咨询鑫泉留学以便及时获得专业的解答。

　　下面是我收集的美国研究生申请的简历范文，供大家借鉴和学习。

　　Education

　　University of Pennsylvania, Philadelphia, PA, USA Ph.D. candidate 2001 – Pres.

　　Department of Computer and Information Science

　　Dissertation: Towards High-performance Word Sense Disambiguation by Combining Rich Linguistic Knowledge and Machine Learning Approaches (to be defended in July, 2006)

　　Advisor: Martha S. Palmer

　　Committee Members: Joshi K. Aravind, Claire Cardie, (external examiner),

　　Mitch P. Marcus (chair), Lyle H. Ungar

　　University of Pennsylvania, Philadelphia, PA, USA M.S. 2000 – 2001

　　Department of Computer and Information Science

　　Tsinghua University, Beijing, China M.E. 1998 – 2000, B.S. 1994 – 1998

　　Department of Computer Science and Technology

　　Research Interests

　　Machine learning and feature engineering for natural language processing (NLP). Automatic word sense disambiguation; clustering semantically coherent words and automatic acquisition of large-scale semantic taxonomies. NLP applications to information retrieval, information extraction, machine translation and bioinformatics.

　　Research Experience

　　Department of Computer and Information Science, University of Pennsylvania

　　Ph.D. Candidate 2001 – 2006

　　High performance supervised word sense disambiguation (WSD) through combining linguistically motivated features and a smoothed Maximum Entropy (MaxEnt) model. The system achieved higher accuracy than previous best systems on the SENSEVAL2 English verb data.

　　Unsupervised and active learning methods for WSD. EM clustering for Chinese verb senses and active learning for English verb senses. Clustering-based feature selection for WSD. Noun clustering and semi-automatically created noun taxonomies, used for semantic features for WSD.

　　Nominal entity detection for the Chinese Automatic Content Extraction (CACE) project (summer 2003, summer 2004). Boosting and TAG (Tree Adjoining Grammar) Supertagging for template relation detection, a subtask of the MUC-7 information extraction task (fall, 2001).

　　Department of Computer Science & Technology, Tsinghua University, Beijing, China

　　Master Student, Senior College Student 1997 – 2000

　　Visualization, dimension reduction, and classification algorithms for Chinese character recognition. A classification algorithm, based on Mahalanobis distance and dimension reduction, for distinguishing well-similar handwritten Chinese characters.

　　Honors and Awards

　　• Graudate student research fellowship from the Department of Computer and Information Science, University of Pennsylvania. Sept. 2000 – pres.

　　• Tsinghua-Motorola Outstanding Student Scholarship, top 3 among over 50 graduate students in the Department of Computer Science and Technology, Tsinghua University.Oct. 1999

　• Honor of Excellent Student of Tsinghua University, top 10 among over 150 undergraduate students in the Department of Computer Science and Technology,Tsinghua University. Nov. 1997

　　• Tsinghua-Daren Chen Scholarship, top 5 among over 150 undergraduate students in the Department of Computer Science and Technology, Tsinghua University. Nov. 1996

　　• Honor of Excellent Student of Tsinghua University, top 10 among over 150 undergraduate students in the Department of Computer Science and Technology,Tsinghua University. Nov. 1995

　　• First Prize in the Tenth National High School Student Contest in Physics in Tianjin,sponsored by Chinese Physical Society and Tianjin Physical Society. Top 10 among over

　　1,000 competition participants in Tianjin area. Nov. 1993.

　　Publications

　　• Nianwen Xue, Jinying Chen and Martha Palmer. Aligning Features with Sense

　　Distinction Dimensions. Submitted.

　　• Jinying Chen, Andrew Schein, Lyle Ungar and Martha Palmer. An Empirical Study of the Behavior of Active Learning for Word Sense Disambiguation. Accepted by Human

　　Language Technology conference - North American chapter of the Association for Computational Linguistics annual meeting (HLT-NAACL) 2006. New York City.

　　• Jinying Chen and Martha Palmer. Clustering-based Feature Selection for Verb Sense Disambiguation. In Proceedings of the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE 2005), pp. 36-41. Oct.30- Nov. 1, Wuhan, China, 2005.

　　• Jinying Chen and Martha Palmer. Towards Robust High Performance Word Sense Disambiguation of English Verbs Using Rich Linguistic Features, In Proceedings of the 2nd International Joint Conference on Natural Language Processing (IJCNLP2005), pp.933-944. Oct. 11-13, Jeju, Korea, 2005.

　　• Martha Palmer, Nianwen Xue, Olga B Babko-Malaya, Jinying Chen and Benjamin Snyder. A Parallel Proposotion Bank II for Chinese and English, in Proceedings of the 2005 ACL Workshop in Frontiers in Annotation II: Pie in the Sky, pp. 61-68. June 29, Ann Arbor, Michigan, 2005.

　　• Jinying Chen and Martha Palmer. Unsupervised Learning of Chinese Verb Senses by

　　Using an EM Clustering Model with Rich Linguistic Features. In Proceedings of the 42nd Annual Meeting of Computational Linguists (ACL-04), pp. 295-302. July 21-23, Barcelona, Spain. 2004.

　　• Jinying Chen, Nianwen Xue and Martha Palmer. Using a Smoothing Maximum Entropy Model for Chinese Nominal Tagging (poster presentation), In Proceedings of the 1st International Joint Conference on Natural Language Processing, pp. 493-500. March 22-24, Hainan Island, China, 2004.

　　• Libin Shen and Jinying Chen. Using Supertag in MUC-7 Template Relation Task, Technical Report, MS-CIS-02-26, CIS Dept., University of Pennsylvania, 2002.

　　• Jinying Chen, Yijiang Jin and Shaoping Ma. The Visualization Analysis of Handwritten Chinese Characters in Their Feature Space. Journal of Chinese Information Processing. Vol.14, No. 5, pp42~48, 2000.

　　• Jinying Chen, Yijiang Jin and Shaoping Ma. A Learning Algorithm Detecting the Similar Chinese Characters’ Boundary Based on Unequal-Contraction of Dimension. In Proceedings of the 3rd World Congress on Intelligent Control and Automation, pp. 2765-2769, vol. 4. June 28-July 02, Hefei, China, 2000.Oral Presentations (2001-2006)

　　• “Towards Robust High Performance Word Sense Disambiguation by Combining Rich Linguistic Knowledge and Machine Learning Methods”, in the 7th Penn Engineering Graduate Research Symposium, Feb. 15, 2006.

　　• “What We Learned from Supervised Word Sense Disambiguation for English Verbs” in a visit to the Center for Spoken Language Research at University of Colorado, Dec. 7, 2005.

　　• “Clustering-based Feature Selection for Verb Sense Disambiguation” in the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE 2005) in Wuhan, China, Oct. 30, 2005.

　　• “Towards Robust High Performance Word Sense Disambiguation of English Verbs Using Rich Linguistic Features” in the 2nd International Joint Conference on Natural Language Processing (IJCNLP2005) in Jeju, Korea, Oct. 13, 2005.

　　• “Unsupervised Learning of Chinese Verb Senses by Using an EM Clustering Model with Rich Linguistic Features” in the 42nd Annual Meeting of Computational Linguists (ACL-04), in Barcelona, Spain, July 23, 2004.

　　• “Fine-grained and Coarse-grained Supervised Word Sense Disambiguation” in ARDA (Advanced Research and Development Activity)’s visit at the Computer and Information Science Department at the University of Pennsylvania, Aug. 22, 2003.

　　Other Professional Activities

　　• Organizer of the weekly seminar, the Computational Linguists’ Lunch (CLUNCH), attended by about 30 faculty members and students mainly from the Department of Computer Science and Information and the Department of Linguistics, University of Pennsylvania. Spring, 2003

　　• Teaching assistant for the graduate-level course CIT594 II – Programming Languages and Techniques, which is oriented to master students in the Department of Computer and Information Science, University of Pennsylvania. Spring, 2002

　　• Teaching assistant for the graduate-level course CIS500 – Programming Languages, which is oriented to Ph.D. students in the Department of Computer and Information Science, University of Pennsylvania. Fall, 2001

　　• Teaching assistant for the undergraduate-level course “Introduction to Artificial Intelligence” in the Department of Computer Science and Technology, Tsinghua University. Fall, 1998

　　• Participation in the editorial work (collecting and editing about 200 vocabulary entries) for a major computer dictionary – English-Chinese Dictionary of Computers and Multimedia (published by Tsinghua University Press, 2003) in Tsinghua University under the supervision of Dr. Fuzong Lin. Summer, 1998

　　通过上面对美国研究生申请简历范文的分享，相信对于很多计划留学美国的人来说，在准备美国研究生申请材料的时候，可以参考上面简历范文的信息来准备好自己的申请文书和材料。

供稿人：鑫泉留学南京公司咨询顾问王梦颖

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