Research Assistantship (Fall, 2021) at the Graduate School, Computer Engineering, Hallym University, Korea
The [AI Accelerator Design Lab] of the Hallym University seek to recruit promising PhD and MSc or MSc-PhD research students.
* [AI Accelerator Design Lab]
The selected students will conduct research in the [Hardware Implementation of Deep Learning Algorithms] and [Deep Learning for Medical Applications].
Interested applicants should contact Prof. Lee, Jeong-Gun by 15 May, 2021 Korean time (GMT + 9). His contact details are as follows:
– E-mail: jeonggun.lee@hallym.ac.kr
To qualify for the scholarship, applicants must meet the following requirements:
• Hold a Bachelor’s or Master’s degree as of Aug., 2021
O For Master’s program (or Integrated Master’s & Doctoral program): students should hold a Bachelor’s degree or a diploma that is equivalent to or higher than Bachelor’s degree
O For Doctoral program: students should hold a Master’s degree or a diploma that is equivalent to or higher than Master’s degree.
• Important Requirements:
O Good background in the area(s) of research
O Good programming skills
O Good English language skills- written and oral
O Good ability to cooperate with others in a multicultural environment
O Good ability for highly motivated independent research
Listed below are some features of this research assistantship and the expected benefits of the program for successful applicants:
O Support full tuition fees for study period
O Monthly Allowance of 1,000,000 ~ 1,200,000 won (KRW)
O Extra allowances based on research performance
O Full support for Conference Participation
Duration: Direct MSc- 2years, PhD- 3years, MSc-PhD Combined- 4years
Expected commencement date: Sep. 2021
Application Procedure
Interested applicants should send the following to Prof. Jeong-Gun Lee (jeonggun.lee@hallym.ac.kr) by 15 May, 2021 Korean time (GMT + 9):
1) CV (to include names, date of birth, nationality, sex, contact details, education, work experience, publications). Only electronic applications are accepted.
2) Academic transcripts
3) Brief summary of most recent thesis and the status (eg accepted, in progress, submitted, etc)