Prospective Students

興趣的同學請聯絡林澤老師 (che.lin AT gmail.com, 博理416) 或是來實驗室 (學新516) 拜訪。我們在尋找有研究熱忱與開放心胸的跨領域人才加入我們,就讀學士班逕讀博士班、碩博士班、擔任專任研究助理或是博士後研究。 


Please contact Professor Lin (che.lin AT gmail.com, BL416) or visit our Lab (XueXin 516) if you are interested in our research and Lab. We are now looking for those who are passionate and open-minded to interdisciplinary research to join our Master, Ph.D. programs, as well as research assistants or post-doctoral fellows.

Q&A

Q: IDSSP LAB的研究方向是什麼?/ What are the research directions of IDSSP LAB?

IDSSP LAB 是 Interdisciplinary data science & Signal Process Laboratory 的縮寫,我們研究的方向為跨領域資料科學與信號處理,主要可分為兩大類:分別是生醫資訊分析 (Biomedical Data Analysis) 以及金融科技 (Financial Technology Data Analysis)。整體而言都是以人工智慧以及深度學習為基礎,再進一步的針對不同的跨領域應用場景進行更深入的研究,關於細部的研究可以點選上方的 Research,有更詳細的說明。

IDSSP LAB is the abbreviation of Interdisciplinary data science & Signal Process Laboratory. Our research is about interdisciplinary data science and signal processing, which could be mainly classified into Bioinformatic Data Analysis and Financial Technology Data Analysis. Our research focuses on the development of cutting-edge deep learning algorithms and their applications for interdisciplinary applications. For other details, you can click on our Research page. 


Q: IDSSP LAB的風格與特色?/ Who are we?

IDSSP LAB的特色為跨領域研究,因此我們希望成員能有開放的心胸與寬廣的視野。我們的核心價值重視團隊合作與成員的持續自我精進,致力於培養國際化的視野,以及透過解決問題不斷成長。風格相對自由,對於研究或是實驗室相關事項都有相當的討論空間。實驗室的設備齊全,讓我們可以專心於研究。實驗室會安排固定的meeting時間,除此之外若有需要都可以再和老師另外約時間討論。

IDSSP LAB features interdisciplinary research. We expect members to be open-minded and eager to broaden their perspectives. One of our core values is teamwork, and we hope that members can meticulously sharpen their skills and cultivate a global vision. Through problem-solving, members can learn from hands-on experiences. You are always welcome to discuss your idea on research or lab matters. Also, we try to provide the best equipment so that you can focus on the research wholeheartedly. We have weekly progress and group meetings; however, you are always welcome to discuss further with Professor Lin through appointment. 


Q: IDSSP LAB的學生組成有哪些?/ What are we comprised of? 

目前除台大電信所(通信組/資網組)(NTU GICE)外,也招收台大電資學院資料科學學程(NTU DS program)、台大國際學院智慧醫療與健康資訊碩士學位學程(NTU Smart MHI program)、台大電資學院與中研院共同合作之國際研究生學程(TIGP AIoT program)的學生。 

Our members come from diverse backgrounds, including NTU GICE (CSP Group/ DS Group), NTU DS program, NTU Smart MHI Program, and the TIGP AIoT program. 


Q: 如果希望加入IDSSP LAB,我應具備那些背景知識?/ If I would like to join IDSSP LAB, what kind of background knowledge should I have?

由於人工智慧會應用機率、統計、程式設計等基本科目,因此會希望本實驗室的學生具備以上的基本能力。由於研究內容多為跨領域,只要有研究熱忱,其餘的專業課程可在碩士期間進行修習。舉例來說生物資訊分析組的學生假如在大學時期沒有接觸到太多生物方面的知識,可以在研究所修一些系統生物學等專業科目來補足必要的知識。除此之外,若能熟習Python當中Tensorflow、numpy、pandas等重要套件會對研究更得心應手。

We expect that our members have basic knowledge of Probability theory, Statistics, and Python Programming since these skills are highly related to AI applications. However, since our research is mainly interdisciplinary, you can always sharpen your skills by taking graduate school courses if you have a strong ambition in research. For example, members of the Bio group are suggested to take biology or medicine-related courses to improve their abilities. Besides, being skillful at Tensorflow, NumPy, Pandas, and so on can definitely help your research. 


Q: 實驗室對於新生有什麼修課規劃與建議嗎?/ Is there any suggestion for LAB’s new members?

希望碩士班能盡量在一年級的時候將畢業門檻的24學分修滿,這樣一來在第二年就可以專心在自己的研究上。確切的修課規劃需要於學期初和老師個別討論過後決定,以下就分別列舉兩組所需要的一些重要課程:

生物資訊分析組:機器學習、深度學習、人工智慧與智慧醫療、系統生物學、分子生物學、網路科學、細胞生物學。

金融科技組:機器學習、深度學習、資料探勘、金融科技。

We expect that members could finish all the required subjects in MS1 to meet the graduation requirement. In this way, they can focus on their research in MS2. You can always discuss your course plan with Professor Lin at the beginning of the semester. Below are some courses that we strongly suggest:

Bio: Machine Learning, Deep Learning, AI and Intelligent Medicine, System Biology, Molecular Biology, Network Science, Cell Biology, etc.

FinTech: Machine Learning, Deep Learning, Data Mining, FinTech, etc.


Q: 如何決定我的論文題目?/ How do I decide the topic of my thesis?

在碩一的時候就會參加group meeting,在聽取他人報告和在自己準備報告的過程中,就會發掘自己感興趣的領域。老師也會給予一個大方向,再和老師討論並且自己思考過後,從中找尋可研究的問題。

By joining the group meeting, MS1 students can find out the field they’re interested in. Still, Professor Lin will constantly guide you through the process. We strongly encourage you to come up with your own brilliant ideas after discussion. 


Q: 如果沒有生物/金融背景的話還能選擇相關的研究嗎?/ What if I didn’t have Bio/FinTech-related background knowledge? 

當然可以!我們會跟專業的生醫/金融團隊合作,並且發揮我們工程的專長,共同邁向更好的研究發展。若是有興趣也可以選修生物/金融相關的課程來補強相關的知識。

Of course! We often collaborate with domain experts in Bio/ FinTech both in academia and industry, to take our research to the next level. It is important that you are a team player within the interdisciplinary team. You can also take some related courses to strengthen your background knowledge.


Q: 若想要加入IDSSP LAB的話需要具備什麼特質呢?/ If I would like to join IDSSP LAB, what kind of personality traits should I have?

我們期待成員有開放的心胸與寬廣的視野、重視團隊合作以及持續自我精進。只要你願意付出並且努力於研究,不怕挑戰與失敗,都歡迎你加入我們一起努力!

We expect our lab members to be open-minded, eager to broaden their perspectives, work as a team and sharpen their skills continuously. We especially value people who are dedicated to research, willing to take on a challenge, and never give up. If this is who you are, come and join us!