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As a rising 5th year PhD in ML -- I could not agree with this advice more! I have very hands-off advisors. I spent the first 3 years "wandering the woods to find something".
Last year, I really had to sit down and think about how I can finish up my PhD on time. I pretty much did what you outline here. A lot of tools I used were organization tools I learned from my business school/product manager friends. I honestly think the PhD system needs to be overhauled. even at a "top-tier" program like mine, it is amazing to me that at no point do we receive any training regarding practical components of research. 100 years ago, the way you became a physician was to follow around a physician and one day you were ready to be a physician yourself. In the year 2020, this is how PhDs are trained. I do realize that a PhD is not a "professional" degree like MD or JD, however, given that most PhD grads will 1) go to industry 2) go into academia, we need to teach students about project management, planning etc. |
I think the fact is that most advisors get no training regarding the practical components of being an advisor. So it really shouldn't be a surprise that there's a huge amount of variation here.
One my big takeaways from my own PhD was that different professors have wildly different levels of ability in terms of people management. All of the professors I met were very smart, but some of them were clearly very poor at the people management aspect of things.
Having said that, I'm not sure what I would actually suggest to a student going into a PhD program today. My observations were formed after watching a few projects crash and burn, and that's not necessarily the path I'd recommend for finding out if your advisor is a good one.