I did a PhD in the late 90s.

What was the motivation? Honestly, I was too lazy to get a job and staying in academia for another 3+ years seemed amazing (probably not recommended, but it worked out OK for me).

What helped get me through it:

1) Doing something I genuinely enjoyed - I approached the Computer Vision professor who gave me some ideas. I super enjoy writing code, and the idea of processing gigabytes of video to produce answers seemed cool. I treated it as a super difficult programming project.

2) Breaking my leg - Just before starting, I broke my leg badly. And that meant working from home with a weekly visit from the professor with a stack of reading papers. That time spent understanding state of the art was super useful.

3) Funding - At some point, DARPA gave enough money for me not to worry about funding, so I never had to work a job or get distracted.

4) Marriage - The final straight of writing a thesis was tough and I was super lucky to have a supportive wife who pushed me to get-shit-done.

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butILoveLife 3 hours ago | parent [-]

>What was the motivation? Honestly, I was too lazy to get a job and staying in academia for another 3+ years seemed amazing

This is actually how I view academia. "Couldn't get a job"

It really lowered the prestige of a PhD for me. Heck, if I think through my PhD friends... none of them were A students. They were all C-tier.

	▲	otherme123 2 hours ago \| parent \| next [-]
		As if "A" or "C" defined a person capacity. I know some straight A's that went directly for a repetitive and boring but well paid and stable job. Other stayed in academia and turned top scientists. Academia is a very particular dynamic very difficult to find elsewhere, and some people dig it. You can watch some people finding the same dynamic at Google for example, where they are allowed and encouraged to fiddle around and keep publishing (e.g. the Attention paper, why would Google allow such publication?). Such dynamics are explored in Terence Kealy book "The economic laws of scientific research".
	▲	bonoboTP 2 hours ago \| parent \| prev [-]
		This varies widely between fields and institutions. Getting a PhD position nowadays in ML or computer vision is much harder. You need to already have publications when you apply and need to have experience specifically in the subfield, give a good talk, an interview, a good motivation letter / research statement, recommendation letters from good internships and multiple PIs you worked with, good grades, etc. It can be different in other fields an in lower tier colleges.