集「名校寫手」、「業界菁英」與「總主筆」於一身的『第一寫手張良計』
他的經典作品，與市面上留學顧問公司的文件，又有什麼不同？
申請博士班，該如何向心儀的教授毛遂自薦、甚至讓教授回信呢？
看看『張良計』，如何用全國最高竿的自我推薦信，讓教授們樂意回信！
Title: A Top-Scoring PhD applicant from AU yearns to join Dr. Smith’s team.
Dear Dr. Smith,
I am Kent Chen from the Institute of Biomedical Engineering and Bioinformatics at AU. I am hoping that my research on the “Inter-Subject Correlation during Natural Article Reading” could refresh your memory of me, such as my background in Neuroscience and Electrical Engineering, my ambition to exploring neuronal responses to natural stimuli, and my interest in your research.
To be honest, as an undergraduate in Electrical Engineering stepping into the field of Neuroscience, I have been following your research attentively and, have always been heartened by your findings. For example, it is truly exciting to learn that “certain brain regions are related to the functions of physical prediction”. Each time when I noticed Dr. Smith’s breakthroughs in the research topics of my interest, I know I am not wasting of my time and I am on the right track. There are definitively much more intriguing facts to explore, I believe.
From time to time, even when I was fulfilling my compulsory military service, I have been wondering if there is any possibility for me to make the most use of my experience and techniques in Neuroscience at AU and, assist you with developing more exciting research such as, using machine learning technique to model the neuronal process of prediction and gain insight into the computational algorithms human brains adopt. And this year, I have made up my mind to apply for the PhD program in Neuroscience at XY University, yearning to join Dr. Smith’s lab.
As a follower who genuinely appreciate the beauty and value of Dr. Smith’s research, I am truly passionate about conducting research with your guidance and inspiration. As the top-scoring PhD applicant at AU this year and, with the recommendation from the former President of AU, I am confident that I will be a trustworthy while productive apprentice.
I wish I could have the honor to meet Dr. Smith on Skype or Zoom so that, we can discuss how I could contribute to your ongoing projects, as well as an interesting proposal I am drafting. For your kindly reference, I have attached my latest CV in this email. I believe Dr. Smith could find some interesting techniques, skills, and experience which I could contribute.
I am really grateful for your time and patience and I look forward to hearing from you soon.
Sincerely yours.
Kent Chen.
與教授面試完後，張良計乘勝追擊，用頂尖感謝信讓教授點頭，留下入學許可：
I want to say thank you to Professor Ronald as you had demonstrated to me the work spirit a real scholar, who treats academic research as a profession, should have.
In my eyes, Professor Ronald is not only a dedicated scholar but also a real educator, who has a broad horizon of and authentic passion for doctoral education. Contrary to most professors who pay predominant attention to students’ research experience and number of publications, Professor Ronald demands much more “overall qualities” or “capabilities” from future PhD students, such as their writing, reasoning and interpersonal skills. These selection criteria subtly reflect Professor Ronald’s belief in the true purpose of doctoral education, which is to develop not only “researchers” but also “thinkers” for the society. Furthermore, Professor Ronald is always willing to help and guide young researchers regardless their age, experience or current academic status. You kindly replied students’ emails and exchanged valuable ideas with students either on phone or in person. The scholarliness Professor Ronald exhibited had been imprinted in my mind and had become a lifelong lesson for me. I will never forget this teaching.
在遇見張良計前，一名申請MIS博士班的同學，研究計劃上的「研究興趣」，是這樣子的…
The research area I would like to contribute to is IT governance decision support using big data analytics technology and cloud computing.
Nowadays, business systems are becoming too complex for systems engineers to comprehend, develop, and operate successfully. I started realizing that even though IT Governance Committee, a team of top IT Leaders, still need a fast and inexpensive facility to estimate performance/cost and test, for cloud applications using big data technology.
I intend to utilize my knowledge and experience in big data analytics and system performance estimation to broaden the IT Governance framework with big data technology.
The findings will be further associated with IT investment decision making and Risk Optimization. The new finding will be a new standard for business to enhance their competitive ability in this “big data era.”
在張良計悉心研究、訪談與指導後，這名同學的「研究興趣」，專業度立刻符合博士班資格….
My research interest lies in Information Technology Governance. My specific research objectives and preliminary plans are as follows:
1. Identifying key factors that distinguish “Analytics Laggards” in adopting Social, Mobile and Computing (S.M.C) technologies from “firms which succeeded in making such transitions”.
The firms which successfully made the transitions might possess unique resources, take unique initiatives or be embedded in specific settings suited for making such changes. Thus, identifying the key factors that differentiate the former from the latter could help firms struggling in the “Laggard phase” make effective and efficient transitions.
2. Capturing and simulating the transition process from the “Analytics Laggard”stage to the“successful S.M.C adopter”stage.
An “Analytics Laggard” might have to undergo a few critical stages before transforming into a successful S.M.C. adopter. As such, I propose to collect and analyze the data of the transition processes from successful S.M.C adopters. With intensive analysis of the data acquired, I’ll be able to capture the “shared transition pattern” among these adopters. The resulting findings will be favorable for corporations situated in the laggard stage to prepare their I.T. and business strategies and hence hasten their transition processes.
在遇見張良計前，一名想研究駭客溝通的同學，研究計劃上的「研究興趣」，是這樣子的…
I am especially enthusiastic about developing a human-like automated analytics framework which enables us to track, analyze and interpret communications among hackers in a real-time and intelligent fashion. Hence, I intend to make the best use of your esteemed program to learn in depth the knowledge and methods of real-time big data processing, as well as the methodology of machine learning which realizes the “automated” perspective of the analytics framework.
Provided with the aforementioned knowledge and methods, I will be able to design a system which can not only process and extract insights from instantaneous big data of hacker communications but also can learn and grow smarter. I am also confident that, with the assistance of such an automatic analytics framework, I could advance our knowledge of hackers including their behavioral patterns, community structure, transaction patterns and cultural differences.
在張良計悉心研究、訪談與指導後，這名同學的「研究興趣」，專業度立刻符合博士班資格….
I am keen on security big data analytics. Specifically, I aim to explore the relationship between “verbal communications of/among hackers” and “cyber -criminal behaviors”. I assume there would be “a group of text” in the communications among hackers and, this “text” might forebode cyber-criminal intentions and actions. Hence, I intend to utilize my expertise in big data analytics and text analysis to analyze the verbal communications mentioned earlier. Ultimately, I aim to identify this “unknown text” and its relationship to cyber-criminal behaviors.
Other than investigating the relationship between “verbal communications of/among hackers” and “cyber -criminal behaviors’, I look forward to develop a new early-warning system of cyberattack using my findings in the first phase along with machine learning algorithms. This early warning system will be used to track and analyze multifarious communications between hackers instantaneously. It can further identify those previously unknown text and formulate judicious anti-cyberattack recommendations. One of the most important facets of this system is that it can learn and grow, providing the most up-to-date anti-cyberattack solutions.
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