More than 40% of postdocs leave academia, study reveals
nature.com
nature.com
Personally I think it's a warped system that takes advantage of cheap labor from developing countries. And it feeds itself. The more temporary research staff professors can hire, the less permanent research staff universities need.
For the most part, it’s just another artificial rung the system uses to justify exploiting people.
The administrative organization continues to expand, and it must be paid for somehow.
That also used to be much less common back in the day.
2003: 2294 Arts & Sciences PhD students and 3500 administrators + managers
2021: 2895 Arts & Sciences PhD students and >5000 administrators + managers
So administrative growth seems to have outpaced PhD student growth by some margin over that time period.
Regardless, the secret to high research productivity (per dollar) at universities is cheap labor from grad students and postdocs.
Sources:
https://oir.yale.edu/data-browser/student-data/enrollments/g...
https://yaledailynews.com/blog/2021/11/10/reluctance-on-the-...
According to the census, from 2000-2018, the percentage of the population holding PhDs doubled: https://www.census.gov/library/stories/2019/02/number-of-peo...
So Yale's PhD count grew a bit, but nowhere near as much as the rest of the country's.
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But mostly, PhDs used to be way rarer in the back in the 50s (along with college degrees in general). If you look at Figure 1 in this NSF report (https://ncses.nsf.gov/pubs/nsf25300/figure/1#), it shows the number of PhDs tripling in just 15 years from 1958 to 1973. After 1973 it slows down to merely doubling over the next 50 years.
Admin growth might be a factor, although I'd want to look at national data first. Your own article says "... Yale had the highest manager-to-student ratio of any Ivy League university, and the fifth highest in the nation among four-year private colleges" so maybe it's an outlier.
50 years later, the Molecular Biology postdocs were not so lucky. Not even an honorarium. "Maybe in a few years..."
We can always argue about whether it was worthwhile ofc. Moneywise, definitely not (though the pay wasn't all that bad compared to industry compensation in my countries). But I learned what I wanted to learn, and the issues the position had were speficic to the place, not the concept of the position, if that makes sense.
"The door will not hit me in the *ss on the way out."
I have seen this TWICE. B.M. and M...
> But a postdoc at a university is an underpaid training position for the most part.
That's not really true or fair. You're talking about a person who's done likely 4 years of undergraduate and between 4 and 8 (median 5?) years of graduate studies and gained a Ph.D. This person is without a doubt "an expert" in their field. Does that person still need training? Sure. But who doesn't?You're also talking about someone who is probably in their early to mid 30's. Eventually people want to start having a life. And you're expecting them to make pennies? I'm not joking. Here's a list of CS Post Doc stipends[0]. Go to Berkeley or Stanford and make $66k-$80k? I've gotten more money as a PhD Intern! You're going to get more than double that in industry before we talk about RSUs.
I think this is something we need to take quite seriously here. There aren't really good reasons for people to choose this path, especially considering how disruptive it is to your life (have fun moving again in a few years :). Maybe we can hope that those who go are just really dedicated to research and following their passions. So dedicated that they are willing to put off normal human things like starting a family, maintaining relationships[1], or even just building one's net worth (or paying off student debt). Some people want to become a professor[2] so will do that.
But the big thing I see is that there's nothing to attract the best people. (We can extend this to even just professorships[3]). So who are becoming the postdocs and professors? Who are becoming the people that educate the next wave of people? If you are at the top, you likely aren't going the professor route, you're likely going to industry where you'll likely get 2x-3x the pay AND more freedom in your research. Even if you're pretty mid you can get 2x-3x the pay in industry with an honestly less stressful life (but you may not be doing research or likely have more restriction of what research you can pursue). This, seems pretty disastrous. At best, unstable. There's not a lot of professor spots but I think we need to have some incentive system such that people at the top are encouraged to carry on their research for the public as well as educate future researchers. As a business you want to be greedy and capture top talent, but that's also because you should be thinking much shorter term. At social levels, we have to think generations.
TLDR:
So are we confident we are getting "cream of the crop" (even if shared with industry) in academic positions? Are we sure that's even true at highly prestigious institutions?
I think the answer is "no", we should not be confident in that outcome.
[0] https://vspa.berkeley.edu/faculty-staff/compensation/postdoc...
[1] Good chance you met your partner while doing a PhD and yay now you both need to find post docs but they are competitive and so good luck finding one in the same place? Hope you like long distance relationships or are willing to let one partner make a bigger sacrifice.
[2] Which weird thing that we train someone to become an expert researcher and then as a professor we give them such high and diverse workloads that they will often have little time for research and instead will more be managers. The research skill degrades with time and only keeping up at a high level is not sufficient.
[3] In CS a post doc is also often a way to elevate your status. Like you got your PhD from a lower tier university and so doing a Post Doc at a much higher tier can make you employable at a more prestigious university. Because prestige still matters a lot, especially since it is tightly coupled with things like equipment access.
[side note]: I think with the competitiveness that it is a bit odd we still have these strong notions of prestige. Just to put things in perspective, if every graduating PhD at the number 1 school, they likely graduate enough people that you could fill all available faculty positions available. Given how prestige matters, it should be clear how high prestige graduates permeate into lower prestige positions. More clear when you start to consider things like how many top universities are in not the greatest living locations. https://drafty.cs.brown.edu/csopenrankings/placement-rank.ht... https://jeffhuang.com/computer-science-open-data/
I don't think the person you are replying to was expecting this. Rather, I read their comment as agreeing with you that the benefits and compensation were low enough that few people would be interested in the position except as a stepping stone into a better faculty position.
I do agree it probably gets used more as an easy way to get experience, the usual thing organizations crave in their new hires. But it isn't the only way. Top graduates can get temporary research faculty positions or even go directly to tenure track. Or in STEM fields, a few years in industry is seen as positive. Industry and Government research labs also have their own "postdoc" positions which can be pretty much normal pay.
> Are you saying I'm wrong about the definition? It's pretty universal: https://ncses.nsf.gov/pubs/nsf21327
Yes, I would say it is inaccurate to say that a post doc position is about training. Unless you're referring to them training undergrads and grads.I think there are 2 key things we need to note about your source
>> Which items or job requirements are most commonly used by institutions to define postdocs?
This is in the context of __hiring__. So they are looking at listings. I don't think just because you are saying that this job will provide training means the job is a training position. Or what we'd commonly associate with a training program, a junior, or anything like that. >> Is intended to provide training in research?
The wording here is important. Personally, if you asked if a postdoc was __intended__ for training, I would agree. But if you asked if I thought you should expect to be trained during a postdoc I'd be more hesitant. Certainly that depends. If I hired you as an L4 at Google, and said there would be training, what would that mean to you? Do you think it would be fair to say? What about at an L5 (senior)? L6? L7? L8? Certainly not at L9 or L10, right?There's lots of things that have an __intended__ outcome but don't have the outcome. Momentum is a bitch and when we're talking about institutions, well momentum is a really powerful force. So I wouldn't take that source as a cout de eta for concluding that a post doc is about training the post doc. Honestly, I feel like a postdoc is closer to taking a L5 and saying we're training you to become an L6 or eventually L7. And certainly that's not a "training position" in the context of paying someone as if they are inexperienced. You can always gain more experience.
> Government research labs also have their own "postdoc" positions which can be pretty much normal pay.
FWIW, if you work at a government lab like LBNL or LLNL and take a __staff__ position then your compensation is going to be much closer to the base pay of a big tech. It's quite common to see these people jump ship and triple their salaries (sometimes they return. Often because it is nice to work at labs). I've seen people do this fresh out of PhDs, no postdoc involved. The postdoc positions pay lower.And yes you should expect to receive training. In the sense that you have a right to it and the supervisor has an obligation to provide it. You seem to be mistaking my criticisms of these jobs for defenses of them.
> “an individual who has received a doctoral degree (or equivalent) and is engaged in a temporary and defined period of performing independent research.”
Would be just as accurate.Btw
> “an individual who has received an undergraduate degree (or equivalent) and is engaged in a temporary and defined period of mentored advanced training to enhance the professional skills and research independence needed to pursue his or her chosen career path.”
Would be an accurate description of a PhD student too.The official definition could also be accurate if describing an Assistant Professor (professor before tenure is granted)
So this is why I'm pushing back on the definition. Calling it a "training position" is just an excuse to have cheap labor and be exploitative.
Then I was a postdoc at Berkeley 2001-2004. I made $76K/year plus UC benefits plus the service clock for the pension started.
Then I was a staff scientist at LBL 2004-2007. I made $100K/year plus UC benefits and the service clock for the pension continued (I have enough service credit to get some thousands of dollars a month after I retire). It was an exhausting job and I did not enjoy having to simulateously publish, travel, and get grants to hire people to do research for me. I concluded this was not enough to buy a house and raise a family, so I left for industry.
I worked at Genentech 2007-2008 and made $120K ("Senior Architect") plus full benefits (which were pretty good).
I then moved to Google as an L5 (I had wanted to work there for ~10 years before I got hired) and started around $140K plus stock options, benefits, and retirement. Over the decade I worked there (2008-2019) my pay was increased signficantly every year, ending around $250K (including the year that Eric Schmidt gave everybody a 10% raise. thanks eric) along with ever-increasing options and then RSUs, worth millions (about $200K/year), excellent benefits, and saving a ton for retirement. There were a lot of side benefits- on the job training, free phones, etc. I really lucked out getting hired and promoted and being there during a growth period; I don't ever expect to have a role like that again. This was the first time I truly felt like I could have kids and a home in the Bay Area without going deeply in debt.
The first few years at Google were stressful, I worked about as hard as I did at LBL, but every bit of hard work was compensated in some way or another- additional pay, access to resources (I basically could use all of the idle cycles in prod at Google- 1-3M cores- to do protein design, and publish). Every bit of research work that led to publications had far more impact (mainly due to the employer's position in research) than before, and I felt supported by the infrastructure to do ambitious things.
I spent a year at a Startup, making $250K and similar benefits to Google. I was employee #11 and have (worthless) equity- if they IPO I might get somewhere around $1M depending on how diluted my shares are and how big the IPO is. I am not allowed to sell the shares on secondary market.
Now I am back at Genentech and make more than I ever have in terms of base pay, while the stock (Roche stock) isn't nearly as valuable as what I got from Google. Fortunately, all those previous years helped build up a big buffer that will help pay for my kids to go to college (hopefully, some of my payment will go to help somebody else's kid get financial aid).
I'd actually love to return to LBL because if I do, my career will actually form a correctly nested path: LBL -> Genentech -> Google -> Startup -> Google -> Genentech (I am here) -> LBL. I'm sure I could get rehired there but at this point, why would I want to work harder for less money and publication credibility?
Looking back at my postdocs, while I learned a lot, I did not like the power dynamic with my PI, and really only persisted for 3 years with the goal of getting a much higher paying job.
And it is mostly nonsense. The true justification is saving money.
See also: adjunct faculty.
You also sometimes hear people talking about "postdoctoral students", which is less reasonable.
Now maybe I'm out of touch, being a postdoc and all, but hasn't the tech industry been suffering mass layoffs this past year or so that really make it a bit unrealistic to label salaries above the American median as "pennies"?
Any more examples?
People who go into academia are probably willing to live the life of an underpaid researcher. The fact that they have the post-doc title instead of the professor title probably is that big a deal, nor is the salary going to change their decision. The lack of autonomy is probably annoying, as is the lack of stability. Having to worry that they might change labs and maybe cities every 3 years, and not knowing for sure if they'll get a job is probably the only thing actually making them quit.
Both of these aren't real incentives for the bottom 80% of postdocs.
The human mind resists accepting decisions made without a proportional amount of effort put into those decisions. If we only get one candidate for the job, we will either hire them and deal with constant nagging doubt, or we will lower our standards to get more options we can reject to feel good, but at which point we've now created false hope in the remaining candidates and an illusion of more opportunities existing than actually do.
Humans are messy, and so everything is always fucked. Even when it's not, we find a way to make it so.
I would rather keep a consistently mediocre individual than an inconsistent one because I know what I can and can’t trust the former with. I have to keep checking in on the latter. But I’ve met more than a couple loudmouths who disagree. Who think they can raise their stock by pushing someone else’s down.
Whether you see actions or not, I assure you that time and energy are being wasted on regrets.
What is unique to academia is the static supply of jobs. When people don't leave, new people face a huge uphill battle to join, and that battle is largely against their competition, not the institution that they seek to join.
2 out of 5 people getting all the way to the end and discovering that research or teaching are not them living their best life sounds either very sad or pretty good depending on your perspective.
A lot of people convince themselves that what they aren't feeling now will finally come to them after one more milestone, and as long as there enough milestones ahead of them they can play for time until it happens. Or they hit Sunk Cost and feel like they can't tap out now because they'll look like idiots, ignoring how much bigger an idiot you look like for wasting X more years of your youth and saddling yourself with even more debt. Or existential crisis with much the same outcomes. "Who am I even if I'm not..."
Research and teaching can take place outside of academia.
>A lot of people convince themselves that what they aren't feeling now will finally come to them after one more milestone, and as long as there enough milestones ahead of them they can play for time until it happens. Or they hit Sunk Cost and feel like they can't tap out now because they'll look like idiots, ignoring how much bigger an idiot you look like for wasting X more years of your youth and saddling yourself with even more debt. Or existential crisis with much the same outcomes. "Who am I even if I'm not..."
Learning can exist for the sake of learning and doesn't necessarily need to be reflected in career choice or identity.
It’s not the research or teaching that drive people out of academia. It’s the endless and humiliating scrambling for money. Everyone who’s not a psychopath hates that part of the job, and the people who are any good at it have options outside of academia.
As a grad student, for the duration of your thesis work, you're locked into a specialty at a specific institute that isn't necessarily first-tier, may need to work at a level of intensity that prevents you from attending to a proper job search, and may end up under a professor who doesn't adequately support your career (e.g., with reputation and favorable recommendations).
In short, many things can go wrong, but you're focused on finishing. Under those conditions, if you do go straight into an industry job, it may be a shitty job that's not much better than a post-doc.
A brief stint as a post-doc gives you an income while you repair your career. This may involve changing specialties, developing your own research idea, working in a more prestigious institute or under a famous professor, or searching for industry jobs. Whatever it is, my own advice would be to only consider doing a post doc if it serves a credible purpose, otherwise, getting paid to get older isn't worth it.
In my field (physics), it was customary for grad students to work for their PhD advisor as a post-doc if they didn't already have a job lined up. I know lots of people who did that. It may inflate the number of "postdocs who leave academia" if it's not really a new job and their intention was to leave academia all along.
I was lucky to have role models: My parents were both industrial scientists, so the idea wasn't foreign to me. And I figured that I could always become a coder if things didn't work out. ;-)
Re-reading, I may have been unclear: I meant that some people take temporary post-docs with no intention of staying in academia.
However, if you have a bit more energy in you than that, have some ambition, leave asap. Startups are a great alternative. Big co research labs are another. Or just get a day job that you love and do research in the evenings. You could even get paid to do real research via patron etc if you do well.
I think academia in the uk is part of the social structure designed to maintain the status quo. The academics get good pensions and don’t do much, and in return they don’t challenge the ruling classes. Part of the class system.
There are some exceptions to this rule, some good places doing good research, but they are a tiny minority.
No, but (and I'm not in this space, so totally ignorant), is it not the case that if you're not associated with a Uni in some form that _PUBLISHING_ your research is all but impossible?
Professors are basically there to manage the process and haggle for funding. They tend to not be very hands-on with research for the simple reason that that's not their main job. They mostly delegate that to people in their team.
And you can only become a professor by doing post docs, landing some tenured position and then maybe they'll make you a professor somewhere. It's a long, uncertain process and the failure modes are basically ending up with a teaching position or being otherwise stuck in some faculty mostly not doing research. Nothing wrong with that. But not what I was after. And a lot of teachers in university are basically people that dropped out of the process somehow.
Anyway, the whole management thing had no appeal to me: I did not want to be a manager managing other people doing all the fun stuff (research) while basically dealing with a lot of bureaucratic shit. Not my idea of fun, at least.
So, I left. It was the only logical thing to do. I worked for Nokia Research for a while after that. But the career paths there weren't a whole lot different there. And the whole thing started imploding a bit after the iphone launch.
These days I do startups and a bit of consulting. Mostly as a CTO, and I'm very hands on which is just how I like it. Inevitably, there's a bit of management involved as well. But I like what I do.
never had a chance to go to college, no family, no friends, no social skills, mostly dumb except for basic computer skills
my life except for like 1-2 years has been fighting to survive in horribly abusive situations currently unable to work with my own SSN being messed with by a bunch of human traffickers
but I love computers my dream in life is to learn about them and built an integrated app kind of like the M1 but for software and I probably will die or be killed way before that happens but its cool to see there are people way smarter that care about building as much out there and computers will get better
Almost by definition, if you're doing a Postdoc in a STEM field, you're probably qualified for a relatively well-paying job in industry [1].
And it's not like universities don't know this, people have been complaining about it for forever. They know if they were to just hire a person with a relevant PhD to do work, they'd ask for a good wage, so instead they dangle this "maybe you'll qualify for a tenured professor job eventually if you do underpaid labor for us for N years..."
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My relationship with academia is...complicated. I dropped out of college in 2012, worked as an engineer for awhile, did a brief stint as a researchey-person at NYU, got laid-off from there, worked in industry for another several years, tried school again in 2018 and dropped out again in 2019, finally finished my degree in 2021, and started a PhD in 2022, and did an adjunct lecturer thing from second-half of 2022 to first-half 2023.
Since I was working full time (and couldn't pay my mortgage on academic wages), I was doing a PhD at University of York part-time remotely. It was fun, but I wasn't just paid poorly, I had to pay them! About $15,000-$16,000/year American [2]! Even though I was doing work for the school, writing code for them that's not categorically different than the code I got paid yuppie engineer salary for, I was losing money in this prospect (and not just the normal opportunity cost kind).
I did it for two years, but I dropped it in November of last year because it was an expensive thing that I wasn't convinced was actually going to pay off for me. The PhD was already pretty self-guided, I could still research the topics I was interested in for free, academia's pace is glacial-at-best, and I didn't burn any bridges so I could go back later if I really wanted.
I might still publish a paper with my advisor in this next year (that's still pending), but of course since I'm not enrolled-in and paying-money-to the school, it won't count towards any credential. I think I'm ok with that.
[1] There might be exception to this but I can't think of many.
[2] depending on the dollar->pound exchange rate.
Be careful: many people who are great postdocs are rather overqualified (and thus rather not suitable) for many jobs in industry.
Getting well-payed in industry requires in my opinion skills that are opposite to those that make you a great postdoc:
In industry you must not be a truth-seeker who can deeply absorb himself in problems. Being a truth-seeker makes you an insanely fit in the brutal office politics.
Also, while I do insist that in graduate school you actually learn a lot about leadership (in the sense of being able to push people to do great things), the abrasive and highly demanding leadership style in graduate school and academia is commonly very undesired in industry (but in my opinion not bad: a very particular kind of people (who will love graduate school) flourishes in such an environment).
1) they can be well paid, like high five to very low six figures;
2) they can be an extra year or two to figure out your own research direction with some help but not much oversight;
3) they can be much easier to get than industry positions -- sometimes requiring little more than a solid publication record and advisor recommendation;
4) if you've been in a university environment for ~a decades and liked it, it might strike you as an easy path to keep doing that (this is probably the worst reason, though).
This is skewed by computer science postdocs at highly ranked schools, though. Yes, people taking these positions face opportunity costs, but the actual experience can be pretty nice.
- PIs can make your life absolutely miserable for no reason, and it's difficult to switch labs if you're otherwise making good progress.
- The pay is poor, and professors often joke about how cheap PhD students and postdocs are.
- A significant amount of time is wasted on internal politics, such as deciding whose name appears on a paper and in what order.
- Pursuing irrelevant papers just to secure tenure is common.
- Bullying from other academics happens more often than most are willing to admit.
- PIs often treat their subordinates like high school students, expecting them to work weekends for "research" and forgo vacations.
- It's true that many join academia because they didn't know what else they could do.
It's exhausting, and there are better ways to make a living. She plans to leave academia as soon as possible.
I am doing a postdoc now - the pay sucks (still good compared to non-tech salaries) but I like what I do, I can choose my own tools, and I'm not longer contractually obligated to put my name in papers I don't like.
The instability of the postdoc life sucks if and when you want to have a family, but it can also be very rewarding.
Same here. I've worked at grindy startups that made me want to leave the profession altogether—everything from gaslighting by small shop CEOs to firing threats, and even firing a colleague just to show "who's in charge."
But switching companies is always an option, as is switching domains. I did that multiple times without much trouble.
> The instability of the postdoc life sucks if and when you want to have a family.
I thought stability was one of the reasons people choose academia. By stability, I mean a supervisor or program that guarantees a steady influx of cash for a certain period of time.
Yeah, but it comes down to what gives you fulfillment. For me, I need challenging work with a reward in pay that matches the effort and academia doesn't seem to fit that curve.
There's stability in academia as tenured professor but outside that, there really isn't.
> She works ~2x longer and 10x harder than I do
Now, I don't know how long you work but most academics I've met do it because they love it. Mind you, it's not like there is no pressure to stay on top of your game, and endless administration tasks do eat up a lot of your time that you would like to spend otherwise. But I know a lot of people who work at the weekends not to make up for lost time, but because their work is their passion.
> - PIs can make your life absolutely miserable for no reason, and it's difficult to switch labs if you're otherwise making good progress.
That is true, although you can also have awful superiors in a regular job. And it's not easy to just switch jobs for a lot of people when that happens. Also, I've personally never had any issues whatsoever with my PIs, so the opposite can also be true: PIs can be very supportive and interested.
> - The pay is poor, and professors often joke about how cheap PhD students and postdocs are.
Not true in my experience, the pay in academia has always been more than acceptable. But again, I was in CS/LangSci, and I know that for instance in the humanities, pay is lower for similar jobs.
> - A significant amount of time is wasted on internal politics, such as deciding whose name appears on a paper and in what order.
In all my many years, there was never any case where the author issue has ever come up. Also, perhaps I was lucky (again), but I've almost only experienced collegiality across groups in the places I worked. I wouldn't say that "internal politics" is a bigger issue in academia than in industry.
> - Pursuing irrelevant papers just to secure tenure is common.
The pressure to publish is real, but irrelevant papers do not really help you a lot. Your time is better spent doing work that can make an impact. That said, not all ideas that you pursue lead to amazing output, and you cannot afford to let half a year of work go to complete waste. So, yeah, if worst comes to worst, you might opt for a lower-tier conference and squeeze at least some insight out of your failed work, but it is not common to specifically try to create irrelevant papers.
Also, over the years, the acceptance rate for main conferences has become increasingly hard to get over, as competetion is ever increasing. So, you do want your work to be relevant, or else it's not much you'll get out of it.
> - Bullying from other academics happens more often than most are willing to admit.
I've read about this on the internet to the point where I believe it's real. However, I cannot personally attest this, as my work places have always been different.
> - PIs often treat their subordinates like high school students, expecting them to work weekends for "research" and forgo vacations.
Not true in my experience, I and my colleagues, including PI, have always tried treating students and other group members respectfully. There is, of course, a certain expectation regarding your work ethics, but for the most part, I've never heard of anyone demanding from subordinates to forego vacations.
The only thing I can think of is when the deadline for an important conference comes up and everyone's really trying to get some final experiments done in time. Then it could happen that you're asking someone if they could do it, but I've also been in situation where the answer was "no" and that was, of course, accepted.
> - It's true that many join academia because they didn't know what else they could do.
Probably true.
> It's exhausting, and there are better ways to make a living.
"Better" is completely subjective. I loved working in academia but that doesn't mean that there were plenty of situations where I didn't like something and loudly complained.
The one thing that's missing on your list and which for me was the deal breaker in the end was that, depending on where you are, the prospect of getting tenure is very vague and insecure. When I was young and independent, I didn't care if I only had a two-year contract. But as you mature and eventually start a family and/or buy a house, your responsibilities and priorities shift.
So, in the end, I am one of the 40% or whatever that left academia, but it was not the work itself that I minded, it was the lack of a secure future. I mean, as secure as any future could ever be...
This could also depend on location, but from what I’ve seen, postdoc CS pay in most places is less than what you can earn as an entry-level frontend engineer at a medium-sized scale-up.
Could you make more somewhere else. Quite certainly! But ask any Humanities grad what they're making in their first job outside academia.
> I've read about this on the internet to the point where I believe it's real.
My experience as a PhD student in France circa 2016: a professor comes into our office one morning, tells me "your work is completely stupid, irrelevant and useless anyways, you should just stop" and then leaves
This is really the root of most other problems mentioned.
We were jokingly say that they don’t dare to call it a salary, that is why they call it a stipend.
I hated it every second of it too. 11 years later I still loath everything I did then.
It took a PhD to figure out how not to accumulate any new debt for those 6 years. I would have been first in line for food stamps, if they were available to us. I literally couldn’t afford to stay in student housing.
Rather: because they deeply love doing research.
Unfortunately, a lot of people enter the pipeline (in the US) not yet equipped to evaluate the possibilities.
If that’s you, get the masters degree that gives you enough knowledge to make an informed choice, then move if necessary.
Worth pointing out supply can be slim in narrower fields of research or for location requirements, like being close to a significant other.
Talk to the grad students of other professors
Assuming a tenured professor holds that position from age 35 to age 65, that's 9000 tenured positions to be filled per year.
According to https://ncses.nsf.gov/surveys/earned-doctorates/2023 there are 57,000 research doctorates granted per year.
So 84% of people granted PhDs don't make it in academia.
Also don’t forget there’s a large time lag between graduating PhDs and when they get tenure, so today’s 270k graduates might be shooting for the next decade’s 15k or 20k tenure spots. Or… who knows they might be shooting for the future 5k spots if the rumors about colleges trying to reduce their use of tenure are true.
“Non-tenure-track faculty account for about half of all faculty appointments in American higher education.” … “About 90 percent of all full-time lecturers and nearly 50 percent of all full-time instructors are nontenure track.” https://www.aaup.org/report/status-non-tenure-track-faculty
This. A 60% stay rate evokes scenarios of academic inbreeding and a total disconnect between the real world and the small bubble where research groups operate.
Why?
When academics move directly from being students to faculty without external experience, it creates an echo chamber. This isolation from practical applications and market forces risks turning academic pursuit into a self-referential game - where success is measured by metrics like publication count and citation numbers rather than actual contribution to human knowledge or societal progress.
This separation from real-world feedback mechanisms means we may be investing significant human capital into activities that optimize for academic metrics rather than meaningful outcomes. The challenge isn't just about individual careers, but about ensuring our research institutions remain connected to the practical problems they're meant to help solve.
Moving directly from being students to faculty is rare. It mostly happens in fields where the demand for PhDs is unusually high. Because universities can't compete with salaries, they have to offer positions people may not be ready for if they want to attract top candidates.
The norm is doing PhD, postdoc, and the first faculty position in different institutes – precisely to avoid the echo chamber effect. And unless you are from a particularly large country, you are expected to do at least one of them outside your home country.
Success measures are what they are for two reasons: competition and long-term focus. Academic research is fundamentally interesting, and there are far more competent people trying to do it than funding. And because people can't afford to wait for decades to measure the real-world impact, the academia must base career progression on something that can be determined quickly enough. If you are doing the kind of research where practical applications can be expected in a few years, the industry is a better place for you. They have a lot more resources for research than the academia.
I'm currently doing research on a topic I started working on ~15 years ago. In that time, the topic has progressed from something interesting and potentially valuable to a mainstream idea with plenty of research funding. If the work is successful, we may start seeing measurable real-world impact in 5-10 years.
The only papers I see that are routinely useful have half the authors having a .in or .cn email at the end with the rest having Indian and Chinese names in US institutions.
The only western papers which aren't extended advertisements for their company are from people who are making something for themselves.
For example the best paper on image classification I've ever seen was posted on a private discord and was about better labeling the parts of a vagina as part of a stable diffusion training pipeline.
I used the methods without change and got better than state of the art for document segmentation.
You can advance knowledge in ways that are aligned with the nation's strategic needs. That would imply the career path of researchers would be oriented towards industry instead of pie in the sky projects.
In the UK, the industrial and military research labs have been closed, there is nothing being done except in universities. The university projects are really specific and don't join up in any way. There is no equivalent of DARPA guiding research proposals to be useful but Governments still think that the universites will define the next generation of industrial products.
Source: my own area of trying to use computers for Materials Science.
You're posting that sort of message in a startup-oriented online forum.
There was a point in time where Google was lauded by it's success story as progress originating in investments in academia.
System behaves as designed. Situation normal: all fucked up.
I saw several committees for prof position and teaching is treated like a checkmark. You should done it and provide a small sample lecture (which you prepare much more than your average lecture) and don't have to suck at it. After this checkbox, the differentiating factors are about citations and how much grant money you can/could/do have... (Western Europe, maybe somewhere else it's different).
I was told by a seminar speaker one time about a pre-tenure professor who was awarded his University's highest teaching award one day. The very next day he was denied tenure because he didn't publish enough.
I recommend reading the book "Tenure Hacks" [1] to anyone interested in pursuing a career as a tenured professor. I don't agree with all of the points in the book, but it is an important and eye-opening alternative perspective to the typical narrative surrounding academic positions.
[1]: https://www.amazon.com/Tenure-hacks-secrets-making-tenure/dp...
I’d also say that even at an R1, teaching volume at an acceptable quality is sometimes rewarded if your college within the university is very undergrad-heavy, because it can be part of how the university apportions funds to departments. So, it wouldn’t matter at a med school, but potentially a little in arts and sciences, though still in distant second to research.
There are also a small but increasing number of tenure track teaching-focused positions at big research universities. These folks typically help design and teach the biggest intro lectures and/or other very time- and labor-intensive courses. There are fewer of these positions than I’d like to see in an ideal world, but not zero.
It's ironic that universities are primarily judged by their research output rather than their teaching, even though their original purpose was to share and preserve knowledge.
But the academic paper printer goes brrrr!
- Many people who did a PhD and didn't want to do research don't do a postdoc
- I would say, "40% have left so far'. Following the same cohort for a few years might yield even higher numbers (because as long you haven't made your mind about quitting research, you are still a postdoc and not accounted for leaving, even it's your 10th year...).
A naive perspective is a glut of experts is a good thing because a society with more experts could produce more innovations and development but because of the pecularities of academia, you instead get extreme competition and little to no innovation really. You do get a lot of following and hyping trends for grant money. I'm not sure what the solution is.
This is probably not the complete story, and probably a bit too pessimistic, but I think this is true...
I am not sure if we can afford more funding, so maybe amount of research should be cut in some way...
From that perspective, the system works. We are making more articles, in more journals, there is also plenty of money thrown around. Unfortunately, there is no incentive for correctness, novelty or usefulness in this system.
Falsification of results, especially in the soft sciences, is relatively easy. Verification of results, doesn't give you any credit. So you can have people producing articles with blatantly misleading or false results for decades, all without any repercussion.
And it's not much better in the hard sciences either. Because verification of results there, is even more difficult and costly. And again, we are not incentivizing verification.
Say you have 20 competing products that want to get noticed or know to sell. Obvious solution for them is to pour more and more resources in advertising. Eventually this advertising takes away from actual product as more time and money is spend on it instead on the product.
Advertising in academia is publications but also applications for funding.
We wish that we were optimizing for new/great ideas, but we aren't. In our current academic system, we are optimizing for number of papers and number of quick citations on papers (where quick = within 2-5 years). The reason these incentives are present is because they are largely deterministic in the outcomes of academic hiring, tenure decisions, and funding proposals. It seems to me that everyone discusses academic hiring and tenure ad infinitum, but less so for the details of the academic research funding system.
For most academic research, when a professor submits a proposal for funding, it is tied very closely to work on one particular idea or group of ideas. The funding cannot be used for research outside of the proposal area. Furthermore one must achieve results within the confines and time period (a few years) of that grant if one hopes to receive more funding in the future. So when a new idea comes along during the process of working on a grant, you either a) do your best to spin the new idea as related to the current grant in some unnatural way and proceed or b) wait until you can get funding for the new idea explicitly. This is the system within which the professors must work. They are laser-focused on achieving results within the constraints of their existing grant proposals. And some of these are great research ideas. But after a while, most people tend to stick with the same old ideas and pursue smaller and smaller ideas within the same area. This is why old professors are still pursuing the same overdone research they did when they were younger. You need new, young people to give an influx of new/bold/crazy ideas to pursue.
Now, the graduate student or postdoc must also work within this system, except that they have no say over the research directions. They must work on the professor's research ideas, not their own. There's fundamentally nothing wrong with that because it is the classic master/apprentice relationship which is generally a good thing. (After all, you can't have well-formed ideas until you know what you're doing, and that takes time. Without this type of system, you get outlandish crackpot ideas that are worse than wrong - they are useless.) But over the years of training, the grad student/post doc probably has a few good ideas. But what do they do with those ideas? Generally...statistically...the answer is nothing. These good ideas die with the grad student/post doc's unrealized academic career, since by far most have to leave academia before they can work on their own ideas (and there's simply no place outside of academia to work on your own ideas).
You would hope that there would be an outlet for good new ideas from grad students and post docs, but there isn't. People learn from mistakes quickly that graduate school and postdoc is no time to be putting your ideas out there. You won't get to work on them yourself and they will be taken from you, period. Let's say you, as a grad student, propose something new and great to your professor, and ask if you can work on it. Chances are that the prof will say no because it isn't funded, or because you're already busy with their currently funded ideas that they must execute on quickly in order to get more funding, or the worst one (which I have seen many many times) is when the professor says "well that's more of this other postdoc's specialty - I'll let them work on it." Sometimes you could propose something and the prof says no, but then 5 years later they are now funded for it. And none if this is caused by malicious intentions: the professor probably forgot that idea even came from you - after all, how many conversations do you remember precisely from 5-10 years ago? - its just an idea that came from the ether somewhere. But other students and postdocs see these occurrences, even if not caused by maliciousness, and just choose to never share their best ideas because they know they won't get any attribution or recognition for them.
As a result, the system is not optimized for new and good ideas, which is the lifeblood of research. If anyone came along on this journey with me that I originally intended to be only a few sentences, I'm sorry I have no solutions. If anything, I feel lucky because 15 years later, at least someone else did one of my big ideas and it made an impact, so at least I get to know that "back in my day," I had some good impactful ideas in my research field.
Thank you for taking the time to write this!
And therein lies the rub. Excellent post overall!
They got the money, they set the rules of the game.
The fact that this isn't solves tells me that it's difficult or impossible to actually recognize promising ideas except to go by track record which leads to the problems you mentioned.
However, the same point could also apply to both tenure decisions and academic hiring...in other words, it is difficult or impossible to tell who is the most promising young researcher. Therefore, rather than do real assessments (and be ok with getting it wrong sometimes), we use citations, journal impact factor, and h-index as proxies. These proxies are alluring because they feel quantitative and objective, and they somewhat remove blame from decision makers. However, as it has often been pointed out, these metrics would have passed over some of the most prominent researchers in science (whose names we all know) and very possibly would have relegated them to obscurity.
And along these lines, I would also point out that it is likely far easier to judge whether or not an idea is promising rather than a person who may or may not have had an opportunity to shine yet. In the case of a person, past performance is certainly not always indicative of future results. And this is especially skewed in the case of a person without previous good performance who may be well-capable of great work in the right environment. However, in the case of ideas, one has the ability to at least assess whether an idea makes some sense given the laws of nature, and also one has some ability to assess potential impact of an idea.
Now, none of that is to say it is easy to assess promising ideas. It is really hard, and the point is well taken. I agree with the point in that I don't think there is an easy solution here because assessment is difficult, yet we have to do some kind of assessment.
All I'm saying is that we are currently missing a lot of good people/ideas. Although, to be fair, it could also be the case that modern academia missing less good people/ideas than we ever have before - it is difficult to know.
It's similar to competition in tech products not leading to innovation. The important metric there is financial growth and stock value, and there are ways to increase those metrics without really focusing on true innovation in the core domain.
If, say, all steel production was done by 1-employee companies competing against each other, I don't think any one would be able to afford any serious investement.
Why doesn't this happen with research?
Competition is great at meeting the criteria of the competition. If the competition values anything other than innovation, like say grant money awarded or social standing, it is suboptimal for promoting innovation.
In the videogame industry, this mostly led to a bunch of low paying, long hour, lousy jobs with high turnover. Why pay more for a low level employee if you can get a new hire for cheaper? In academia, money is a little less hierarchical, so it led to a madcap fight for grants with all of the related downsides.
Really interesting to think about what an ideal academia would look like. I think a lot of us have an idea of 'pure science' which has never really existed (by which I mean, since the industrial revolution science and academia has been tied to industry).
In terms of conditions, I think this issue is solved elsewhere by unions (there are always people wanting to be hollywood script writers, but the writers guild of America does a good job of maintaining decent conditions despite this). I don't know how that could even come close to applying in something like academia though.
That does not mean academia, nonetheless academia in its current form, is the optimal system for producing innovations. How much effort is being wasted on things that will never pan out? How many great potential innovations are not being researched right now because the system does not prioritize them? How many needed to start in academia vs how many just happened to?
Further, I would recommend very strongly against using big companies as the gold standard of innovation, especially not efficient innovation.
Half my friends are postdocs or associate professors (including my wife) at top universities and none of them are happy with how it’s going. Most apply for jobs every now and then to imagine escaping. And they’re the ones doing well in the system!
Couple years later she told me that happens a lot but one is so focused on their work and the illusion that "once I'm there ..." so strong, that one ignores the hard evidence and much debated proof, despite, well, one's own training.
Leaving is completely logical for anyone that wants to actually do impactful research, or wants to make a living wage, and wants sane hours and sane management.
Glad this post was revived after being dead for some reason.
And I'm so much happier now working in professional software engineering than I was in academia.
Academia is done growing. For every full professor, there will be ONE spot for a full professor when he retires. That's a lot of grad students and postdocs who need to find something else to do with their education.
Most postdoc positions should not even exist.
I didn't leave academia, but I did leave that lab. That's some sort of power-play I have no time for.
We want to train highly skilled people and then unleash them in the private sector to create new companies or help push existing companies forward.
I'm not sure what the right percentage would be for postdocs leaving academia, but i would have assumed it was around 90% if you made me guess.
That just seems healthy.
After how many postdocs is one "highly skilled"?
Postdocs are foremost a failure of the academic job market (supply of eager researchers much larger than available academic positions) that over time has become some sort of ingrained filtering mechanism.
Fellowships are generally the good ones. You get to explore research directions under the guidance of a more experienced researcher. Because you have independent funding, your mentor is not your boss, and you are relatively free to choose what to work on and how.
On the other end of the spectrum, some postdocs are just people a PI has hired to work on a well-defined project. Either because the institute does not have more appropriate job titles or because postdocs are cheaper than professional researchers. These are fundamentally ordinary jobs, and like any job, they can be good or bad.
Many of these people will become very frustrated in the private sector because they will very commonly talk to a brick wall with their ideas in the private sector. The private sector is commonly not the kind of environment where highly intelligent, novel, bright ideas are rewarded.
TBH, 40% attrition rate is less I expected. Since each academic can train more than one PhD and postdoc every few years, which is the case, some attrition is required because the system cannot grow exponentially. The desired outcome in this context is that this talent incorporates to industry or other sectors where this expertise or problem solving skills are not wasted.
I wouldn't agree to those. I was perhaps overly supported during my PhD, not preparing me for the reality of being abandoned/expected to be totally independent in the postdoc
We sat down and talked about what this meant in particular, the workload, compensation, options after graduating from the PhD program.
It broke my heart, but I had to turn him down. It felt like everybody who wanted to have a shot at having a career in academia needed to put an insane (read: literally destructive) amount of effort into it, all while accepting that it was extremely easy to get stuck for good. There is extreme pressure on postdocs to produce results, with institutions and labs becoming very cautious about working with people in their 2nd or 3rd postdocs if they hadn't published in high-impact journals until then. Also, good luck finding any sort of tenured positions, with more and more universities switching to freelance "collaborators".
I was not going to spend 80 hours a week investing in something where all odds are stacked against me. I was not going to put years of my life into a thing that can go 'poof' just because your stars didn't align, or because the faculty decided instead of hiring you on a professorship track, they would rather extort some more money and "let the contracts expire" when it was no longer convenient to have you there.
It takes a few years to bridge the income gap between you and the people that went towards an industry career immediately, but you got to climb around in the large hadron collector when it was not running and have lots of stories about strange British professors.
Why is that construed as a negative? Isn't it great that they are finding jobs and applying their disciplines in the industry?
Because academic science doesn't have scientific proof of existance. People shouldn't stay there, because there are no anthro-/psycho-/socio-/etc- reasoning that this way of organising people to seek new knowledge actually works, and it's efficient in any way.
I stayed in my tenure-track position for 3.5 years, left for industry for 2.5 years, and am now back in academia :)
I guess more leave between postdoc and phd.
Essentially, postdocs can be a good way to waste the most valuable years of highly intelligent people...
The point I'm trying to make is more about the opportunity cost, not the skills you get out at the end.
Sorry Sarcasm aside: considering the never ending list of unsolved problems, it should. Sadly, more money seems to get spend on games, ads and stupid juice presses than anything really helpful.