Học bổng lĩnh vực AI, Data mining cho các bạn quan tâm.
Đây là những hướng rất thực tiễn, cập nhật và triển vọng. Các bạn có nền về Toán, Computer science, khoa học dữ liệu muốn apply hãy liên hệ với GS Kim nhé.
Note: Các bạn lưu ý về philosophy của GS Kim để có thể apply hiệu quả nhất: "It may seem (next to) impossible now, yet there has to be someone who dreams and pursues it. "
Thông tin được gửi về từ Giáo sư Kim Hyun-chul. Thanks for your email and information.
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The Human-Machine Network Data Science group under Prof. Hyun-chul Kim in Sangmyung University's Software Department is inviting applications for the positions of Master or PhD students. We aim to be a world-leading group in the area of mining and modeling data collected from large-scale networks of human beings and machines or AIs, such as the online games (MMOGs - online virtual worlds), on/offline Social Networks, WWW, Internet, etc. Problems we investigate are motivated by data collected from such large-scale networks, describing complex systems and interactions of humans and machines/AIs, from social, socio-economic, information, communication, networking, security, and game domains.
We are seeking highly motivated, ambitious and creative graduate students with background in computer science and engineering or related disciplines such as mathemathics or data science, to join our group in a quest to perform breakthrough research on approaches that apply a computational lens to advance our understanding of social structure, dynamics, and collective behavior of human beings, machines/AIs, and their hybrids/mixtures, based on which we design and build better or advanced human-machine social systems. More information on the supervisor Hyun-chul Kim is available at http://cosmos.smu.ac.kr/~hkim .
The preferred start date is March 2021, but this is flexible. We will also accept applications for September 2021.
Qualifications and personal qualities include:
- The applicant must hold a bachelor's or master's degree or the equivalent in Computer Science, Computer Engineering, Information Science, Informatics, Cognitive Science or equivalent,
with proven academic records, including certificate(s), academic awards, publications, etc., if any.
- Undergrad GPA at least 3.0 (over a 4.0 scale) and/or Grad GPA at least 3.25
- Proficiency in both written and oral English (English Proficiency Certificate with score info. required)
- Preferred CS courses taken including data structures, algorithms, programming proficiency in Python/C++/Java
- Strong programming skills and experience with cybersecurity, machine learning, database, large-scale data analysis are a plus.
- Great motivation for research, interest in the area (and good knowledge of relevant theory and methods are a plus)
- Ability to work independently as well as in a team environment
What We Offer:
- Researching and developing real-world systems and conduct experiments on these systems
- Targeting publications in prestigious top international conferences and journals (please check the professor's google scholar page, https://scholar.google.co.kr/citations?user=JETd9dMAAAAJ )
- Laboratory space and equipment to conduct competitive research (multiple GPU machines, iMac, MacBook Pro, iPad Pro, ...)
- Opportunities to collaborate with scientists in academia and industry
- Full Scholarships and competitive stipend in funded positions
To apply: Interested candidates are encouraged to apply as early as possible. Please email Hyun-chul Kim (hkim@smu.ac.kr) by Nov. 20 with the subject line; "Grad Application 2021 Spring". Please include with your mail: i) a cover letter describing your research interests and reasons for applying to this position, ii) your curriculum vitae (CV) or resume, iii) University certificates and transcripts (both BSc and MSc degrees for PhD applicants), iv) english proficiency certificate, v) contact information for 2 to 3 references.
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"It may seem (next to) impossible now, yet there has to be someone who dreams and pursues it. "
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