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Doing a Machine Learning PhD While Working in Japan

146 points · 44 comments · pwim

  1. mcyc · · focus · HN ↗
    I am the author of this. Happy to discuss!

    One thing to note is that, after I submitted the final draft of this article, the Japanese government ended the MEXT university track or is at least planning to. There was a memo, but the status is not clear.

    Anyway, I had a great time doing my PhD this way, and generally I recommend that people work before a PhD and try to work during it (if you are in CS). It gives you a lot of freedom and, at least for me, it is very helpful to have more than one pipeline of work at a time so that when one slows down (as it inevitably does in research), you can draw on the other.

    1. sbinnee · · focus · HN ↗
      Congrats! I am surprised that you first chose Korea for PhD. As myself being Korean, I hear a lot of horrendous stories about PhD students in Korea. They tend to spend for more than +8 years. I know a few people who went through their PhDs and certainly it took +8 years for all of them. I did my PhD by the way in France and it took me 4 years.

      Did you know that it could take so long when you first started your PhD in Korea? Could this be one of your reasons to move to Japan?

      1. mcyc · · focus · HN ↗
        Thanks!

        My decision to start my PhD in Korea was under very different circumstances. I was studying a totally different field (automata theory, so closer to mathematics than ML) where longer PhDs were normal, I was used to the US system, I wasn't working or married, etc. I expected it to take ~6 years when I started.

        I basically had to choose between living in the Canadian countryside, Helsinki, or Seoul in order to be in a lab studying what I wanted. I was already pretty into Korean culture (I minored in Korean in college, studied abroad there, and was a serious StarCraft player) so that choice was easy!

        When I started looking again, I knew I wanted a shorter PhD (especially since I had a masters and industry + industry research experience), so Japan was pretty attractive.

        I will admit that I think 3 years is a little short to make substantive progress outside of machine learning, so unless you come in with a lot of research experience and a good idea of what you want to work on, I think a longer PhD would be beneficial, but the opportunity cost is so high that it really doesn't seem like a great option on paper.

        1. fukaiall · · focus · HN ↗
          As a Starcraft fan, if you’ve not heard of yet, I highly recommend the Youtuber Kim Seong-Hyun (Alphago)
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