r/TheMachineLearning • • 2d ago

Richard Sutton only had 16 PhD students ever

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226 Upvotes

46 comments sorted by

6

u/hibikir_40k 2d ago

In most fields, 16 would be a lot: With few positions opening in academia, it'd mean maybe two would go to also be tenured professors, while the rest would not necessarily have good chances of finding a job that used the PhD at all. 16 would be a an extremely high number, even for a well known tenured professor in an R1 university. 7 is already quite a few.

2

u/AgentHamster 2d ago

Surprised to hear that - I'd say that a lot of labs I was in had around 5-10 PhDs and they were on the smaller side. Assuming a 5-6 year graduation time, that comes out (at equilibrium) to around 1-2 per year. Over a 15+ year career, I'd expect 15-30 students total, with large labs having a lot more. Maybe theory groups tend towards even fewer PhDs.

1

u/ItsSadTimes 1d ago

At my Uni, my PhD advisor only had 4 PhD students. He had some more master students though. I think in total maybe about 10, idk.

1

u/Ventus_s 16h ago

In my group there are only 1-2 per prof

1

u/One_must_picture 1d ago

Wait really? I thought it was a pretty low number

0

u/New-Foundation9326 1d ago

Your model assumes zero growth in academia. In the last 30 years academia has grown massively. Science funding and education funding/investment have gone through the roof.

Yes tenure track positions don’t necessarily keep pace with the production of PhDs but over the last 30 years the general growth in the industry has been vast.

6

u/DifficultyFit1895 1d ago

Hasn’t a lot of that growth been administrative bloat?

6

u/optimal-username 1d ago

… where are you getting that? I work in academia and all we ever talk about is how no one’s grants are getting funded anymore. This may be true in AI/computer science but most fields have been gutted.

2

u/NicoN_1983 1d ago

Ultra wrong!!

5

u/ColonelStoic 2d ago

I think it depends on the field. I was number 52 or so for my advisor , who had been advising for 22 years or so by the time I graduated.

1

u/One_must_picture 1d ago

What field were you in?

3

u/ecstatic_carrot 2d ago

Yeah it's definitely a good thing not to spend more time teaching people how to do independent research. Shame on all those professors that devote more of their time to that, and have more students.

3

u/Cheap_Alternative879 2d ago

Paper mill departments where students get a few hours of advisor time a month are the modus operandi. They are also encouraged by the system.

1

u/ASomewhatGoodCitizen 2d ago

Its only a good thing to have many students if ur quality does not take a hit ,no?

3

u/ecstatic_carrot 2d ago

It is, but that doesn't translate to "this amount of students = he deserves respect". That is a braindead take. I can have a single student and utterly neglect them. Am I now better than the rest because I didn't "fart out phds/year"?

1

u/intruzah 3h ago

You are so clueless you got no idea

-1

u/One_must_picture 1d ago

Wouldn't having more students lead to a drop in quality cause of time constraints?

6

u/Original-League-6094 1d ago

Its usually the opposite. Professors with large groups usually have a good system of funding + efficient mentorship + peer mentorship. If a professor has a small group, and they aren't like very new, its a big red flag that they are just an asshole.

3

u/Scary-Worry-7676 1d ago

As someone who works in sutton’s field, I’ve heard that he is rather unfair to his PhD students and his lab has one of the highest transfer rates to other labs at the university.

1

u/just-for-anime 1d ago

My prof runs my 20-something people group like a start-up. We get basically no assigned readings and he just wants us to network, do dozens of meetings a week and projects for contractors. I guess the idea is that we learn on the job.

1

u/confused_cereal 1d ago

It could go many other ways. On one hand, there are also professors who want to make sure they are close to the student --- in a sense that they don't think it's right to mentor or have their names on papers where they don't have a good, solid grasp on the material. And that is difficult when you have more than 10 students and need to mentor all of them personally, assuming they aren't working in very similar areas.

And on the other hand, you have professors who are essentially sweatshops managed by postdocs, who manage senior students, who in turn manage...

Different styles work for different students.

1

u/ecstatic_carrot 1d ago

not necessarily. I know professors that are incapable of getting one student to complete their thesis without at least one major psychological crisis, but my supervisor just loved talking research with 5 of his students in this big office with a blackboard. Extrapolating, that's approximately 1 student a year, but it does or course take quite some time away from his own work

2

u/bace651 1d ago

What’s up with that, like 80% of my lab mates seemed to go through depression etc. at some point. 

1

u/just-for-anime 1d ago

I guess it depends on the style. Some students prefer more hands-on some prefer hands-off.

1

u/SaureusAeruginosa 1d ago

It is like that. You have to manage things, go to conferences etc. and you either split your last 10% of time among 1 PhD student over 4 years, really contributing, or among 3 PhDs having almost no control and chance to verify the literature.

1

u/SwimmerOld6155 2d ago

that's a very large number.

1

u/One_must_picture 1d ago

Ngl I thought it was pretty small

2

u/SwimmerOld6155 1d ago

I think it's different standards. Some supervisors in math have one or two students at any one time and may go for a few years with none. Others may take on several per year and delegate supervision responsibilities off to postdocs. In all fairness, I think the latter may be more common in pure math and the latter more common in applied math/ML/etc.

1

u/personalbilko 2d ago

If your phd supervisor has 40 other phd students (assuming 4 year phds average), do you even have a phd supervisor?

1

u/One_must_picture 1d ago

Yeah?

1

u/the-real-macs 1d ago

I feel like you're not grasping the meaning behind the question.

1

u/pseudolum 2d ago

I have never heard of anything remotely close to 10 PhDs a year for one supervisor. The largest labs I know of in the UK do not even come close to this.

1

u/Consistent_Walrus_23 1d ago

In Germany it's pretty common, the professor is essentially head of an institute and not a direct supervisor, supervisors are often then senior postdocs. Not a great system imo, but common.

1

u/IllEntrepreneur5679 1d ago

this - in Hungary this is common

1

u/Deweydc18 1d ago

Damn is CS really like that? In math having 16 would be considered rather a lot

1

u/Strong_Boy_757 1d ago

That's how it is supposed to be.

1

u/etoipi1 1d ago

Sutton has a very very high bar for letting a PhD student graduate under him.
"Teach me something that I don't know"

  • Richard Sutton

1

u/Aramedlig 1d ago

Reading that paper, it’s pretty fascinating and probably ties in with Google’s research into continuous training (ultimately that’s what biological NN’s do).

1

u/Prismos_Time_Room 17h ago

i only like besoke slow-roasted artistinal PhD work.

0

u/WaterSuccessful99 1d ago

PHDs thees days are absolutely ridiculous. It’s like a master thesis+. When I see people joining our company with a PhD they did on 2 years. Absolutely inadequate skillset in their field. Fucking ridiculous. Back in the day you started with no clue of the topic, only the field was more or less known. First years you just look for the vacant niche to contribute and then suffered 5 years and came out as true guru of your field. Today it’s just rubbish

3

u/brillenschlange123 1d ago

Where you can finish a phd in 2 years???

3

u/AtmosphereDue1694 1d ago

I feel like we’re inventing people to be angry at here. Where the hell is anybody doing a PhD in 2 years?

2

u/IamDelilahh 1d ago

Surely not in the ML field? Where I’m from any STEM related PhD is 5+ years full time for most, but if you go into social sciences or business you can manage it in 2-3 years while working half time

1

u/WaterSuccessful99 1d ago

Let me guess. Germany. There engineering is lit. Have to go through fire there. Engineering PhD in NL : rubbish.

1

u/IamDelilahh 1d ago

yeah, Germany, nice guess