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學(xué)習(xí)啦 > 實(shí)用范文 > 個人寫作 > 自我介紹 > 英文自我介紹 > 博士工作英文自我介紹信

博士工作英文自我介紹信

時(shí)間: 楚君939 分享

博士工作英文自我介紹信

  眾所周知,自我介紹是日常工作中與陌生人建立關(guān)系、打開局面的一種非常重要的手段,因此,博士在工作時(shí),讓自己通過英文自我介紹或得到對方的認(rèn)識甚至認(rèn)可,一種非常重要的技術(shù),以下是學(xué)習(xí)啦小編為你整理的博士工作英文自我介紹信,希望大家喜歡。

  博士工作英文自我介紹信篇1

  Good Morning professors

  It’s my honor to have opportunity for this interview. My name is Zhong Keyuan, 27 years old. My hometown is Ganzhou in Jiangxi province. I received my Bachelor degree in Jiangxi Normal University majored in geographical science. Now I am studying in Fujian Normal University.my major is natural resources.

  I have acquired some basic knowledge of distributed hydrological erosion model during my graduate years and published a research paper in journal of natural resources. I have built up a daily runoff and sediment Annualized Agricultural Non-point Source Pollution model (AnnAGNPS) in Shanmei reservoir basin in Fujian province. And I'm interested in the uncertainty of the distributed hydrological erosion model and I want continue my research.

  I hope have chance to have further study in this university. That’s all, Thank you!

  博士工作英文自我介紹信篇2

  Good afternoon! Professors :

  I am honored to introduce myself. My name is zjz, 32years old. In the year 2005 and 2008, I received my Bachelor degree and Master degree in sdust.I major in mathematics. After my graduation, I got a job in Qingdao Technological University. In the past 3 years, I was involved in China Undergraduate Mathematical Contest in Modeling, and the teams I directed was rewarded the first Prize in Shandong Contest District both in this year and last year.

  However, with time going on, the more I experienced, the clearer I realized that I am lack of knowledge. I really interested in economics and management. I find that the similar and problems rise in my study subject, so I’m eager to cognize more about this field and I hope I can study further in BeiHang University.

  So I am standing here now. I am really excited. I believe what I am doing is a right thing.

  That’s all. Thank you for giving me the chance to present myself!

  博士工作英文自我介紹信篇3

  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,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.

  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. 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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