mcyc

Joined 6 years ago

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Nov 11
@me if you wanna talk about Korean + computers.

Also interested in high school cs education

Bsky: https://bsky.app/profile/mcognetta.bsky.social

Mastodon: https://sigmoid.social/@mc

Twitter: @marco_computers

Site: theoreticallygoodwithcomputers.com

meet.hn/city/35.6768601,139.7638947/Tokyo

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Recent submissions

Comment · 1 month ago
Ah, too bad we never crossed paths!

Thanks for your comments here. I agree that a lot of labs were pretty unserious. One other thing that I should have mentioned in the article is that labs in Japan are like little contracting businesses, and the professors have to find funding in a way that seems much harder than the US. This leads to a lot of variability in the financial situations of labs, so yeah my concerns about funding/etc were probably understated (and my lab was likely one of the best funded in the nation).

As for domestic conferences, typically my lab used them as staging for their papers that they would send to top international conferences, so the quality was still pretty good. I do get the sense that the quality outside of the T1 labs drops off pretty quickly.

> ... but I never collaborated with them (in fact, our lab has hardly ever published a paper with >2 authors).

This was something I had in the original draft of the article, but it was removed for being a bit niche. TiTech (and perhaps other schools, but not universal) had a restriction in place where only one student could claim primary authorship on a paper for the purposes of their graduation requirements (typically 1 conference + 1 journal paper). Even if two students contributed equally, they had to sign a form designating one of them the "true" primary author. This massively discourages collaboration. I absolutely hated this policy, but there was basically nothing I could do at an institutional level to change it. I ended up being able to collaborate pretty freely, since I reached my publication requirements quickly, but this policy really hurts students who do their PhD in Japan just because of the numbers game. If two candidates are up for a position, and one has N papers (all first author, but 2-3 authors max) and the other has N + 10 papers (with <N first author, but all with huge groups), the one with N papers is at a disadvantage at first glance. And it just removes one of the primary skills you need to cultivate during a PhD: collaborating with other researchers.

Comment · 1 month ago
Hmm, the tuition is extremely low relative to the US. On the order or $4-5k USD/year. I am not sure how many additional fees (like facilities, etc.) there are, but I guess not many. Being self funded was common for Japanese students. AFAIK no international students that I knew were self funded, up to the tail of their graduate program when their MEXT ran out.

Now that I think about it, one thing I am not sure about is if self-funded students' travel/conference fees were covered. I would guess they are covered through a grant and it is just the tuition that is self funded, but I do not know for certain. Going to >1 international conference a year would be far more than the tuition.

So, I would guess it would cost ~10k/year to be fully self funded. You can recoup some of that cost working (on a student visa this is limited though), and your lab may also have an RA stipend (but this is both very low [<$20/hr] and counts towards your 28 hour/week limit).

My advice though is to never do a self-funded PhD. Being a PhD "student" is a misnomer. You are a research employee and should be compensated as such.

Comment · 1 month ago
Yeah, it is definitely a harder limit for international students for the reason you stated (but this article is geared towards foreigners after all).

What field were you in? I am surprised to hear that you think Japan's lab culture is much better than the US. I do think it varies a lot by lab, but overall the internal collaboration and guidance (if not from the PI, from senior members) was much better in American labs than in Japanese labs in my experience.

Comment · 1 month ago
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.

Comment · 1 month ago
Thank you! And, re: 3 years, that's good to know, I should have been a bit more precise.

What field were you supervising?

3 years in CS is, imo, a little tight but not bad. But I always wondered how people in other fields (stem and otherwise) did it. CS simply doesn't have to deal with the extraneous factors that come with, e.g., biology or climatology.

Comment · 1 month ago
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.

Comment · 4 months ago
Comment · 4 months ago
Yeah, it is interesting to me that it is coming from the _city_'s government. I've seen sovereign AI things at the country level, but this is the first municipal one I have seen.
Comment · 5 months ago

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