📣

2021 Spring AMI Lab admission

Tags
Admission
Time
2020/09/17
생성시간
1/29/2021, 12:55:21 AM
1 more property
Postech AMI Lab (PAMI) is looking for self-motivated prospective graduate students.If you are interested in joining AMI Lab, please read the following CAREFULLY.
At this moment, we’re putting a high priority on candidates who will be promoted to a PhD program with strong motivation. Candidates who apply MS program only may not be considered at this moment.
Research intern positions are available.It is strongly recommended to have a research intern experience with AMI lab at least 3 months.
Before discussing any potential position, PLEASE send an email along with your CV and transcript.
📄  Phase 1: Official Screening
PLEASE send your up-to-date Curriculum Vitae (CV or resume) and Official Transcript (optionally portfolio would be very helpful to understand your background) through an email(sungbin@postech.ac.kr), if you plan to apply our lab. IF you don’t submit your CV and transcript, we do not consider you as a candidate.
Please apply directly to the university, and get admission first (Please refer to https://adm-g.postech.ac.kr for detailed admission information). Send an email right before/after your application to let Prof. Tae-Hyun Oh know that you applied and are interested in AMI lab.
If you have passed the official 1st screening, AMI Lab will schedule an individual face-to-face interview (or online through Zoom). Detailed notice about the interview will be on this website after the 1st phase.
📅  Phase 2: One-to-one interview
1.
AMILab is interviewing individual applicants who passed the official POSTECH document screening (the 1st phase).
2.
In the 2nd phase, you should pass the face-to-face interview (or online through Zoom). Most of the interview questions would not be the problems that require significant memorization but a deep understanding of concepts.
3.
Interview contents – Text book: Mathematics for Machine Learning, Cambridge University Press (Free PDF available in https://mml-book.github.io/) All the interview questions are related to the following contexts:
==================================== <Mathematics Background> – Basic probability and statistics – Linear algebra – Basic function analysis <EECS Background> – Signal processing – Programming & algorithm – Basic machine learning (+ back-propagation) – System design (Please google "system design interview" for industrial positions) <Language> – Basic English writing skill ====================================
Python
4.
Interview length: 1.5 hours
5.
Interview method: Discussion over a whiteboard
We hope to see you at the interview session. Good luck🤞!