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.
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At this moment, weโre 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.
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Research intern positions are available.It is strongly recommended to have a research intern experience with AMI lab at least 3 months.
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Before discussing any potential position, PLEASE send an email along with your CV and transcript.
ย Phase 1: Official ScreeningPLEASE send your up-to-date Curriculum Vitae (CV or resume) and Official Transcriptย (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 donโt submit your CV and transcript, we do not consider you as a candidate.
Please apply directly to the university, andย get admission first
(Please refer toย https://adm-g.postech.ac.krย for detailed admission information).
Send an email right before/after your applicationย 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.
ย Phase 2: One-to-one interview1.
AMILab is interviewing individual applicants who passed the official POSTECH document screening (the 1st phase).
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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.
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Interview contents
โ Text book:ย Mathematics for Machine Learning, Cambridge University Press
(Free PDF available inย https://mml-book.github.io/)
All the interview questions are related to the following contexts:
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<Mathematics Background>
โ Basic probability and statistics
โ Linear algebra
โ Basic function analysis
<EECS Background>
โ Signal processing
โ Programming & algorithm
โ Basic machine learning (+ back-propagation)
โ System design (Please google "system design interview" for industrial positions)
<Language>
โ Basic English writing skill
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Python
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Interview length: 1.5 hours
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Interview method: Discussion over a whiteboard
We hope to see you at the interview session. Good luck!
!