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Endurance->permanent academia position? |
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| Dec23-12, 07:17 PM | #18 |
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Endurance->permanent academia position? |
| Dec23-12, 07:33 PM | #19 |
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| Dec23-12, 08:29 PM | #20 |
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Experimentalists might have more jobs available, but there are also a lot more of them (some labs at my undergrad had 12-13 gradstudents AT A TIME), so its not clear to me how that scales. Most experimentalists I know left STEM after the phd + a postdoc or so, just like most theorists. |
| Dec23-12, 10:05 PM | #21 |
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It is true though that the physics curriculum and research interests, especially at the grad level, is not so good in terms of preparing people for jobs. The amount of professors doing fundamental studies on materials that may be forever inapplicable to any technological advancement is staggering. Indeed, many professors actively resist putting a more applied spin on their research; hell, that's what my professor does. Until that changes, the employment situation will not change. |
| Dec23-12, 10:53 PM | #22 |
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And it's not a "limited number of jobs" - it's a limited number of jobs as a professor at a research university. Every student I have worked who wanted one had no trouble getting an industrial job (the exception was one who wanted to become a stay-at-home mom and did). Like I said, telecommunications seems to be gobbling them up as fast as they can. You should have no illusions about this - the reason HEP is funded is not because Congress has a deep-seated interest in the Higgs Boson and electroweak symmetry breaking. It's because CEO's trek up The Hill to say "keep the flow of scientists coming". Discovery of the Higgs Boson was a fortunate byproduct of creating better antenna designers for Motorola and better lightning specialists for Boeing. |
| Dec24-12, 04:53 AM | #23 |
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I think you should be happy - physics is non practical, academic degree and yet there are industry jobs conncected with physics (even if they are engineering positions).
Literature or archerology students (even musicians) don't have this kind of luxury. |
| Dec24-12, 09:19 AM | #24 |
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| Dec24-12, 10:05 AM | #25 |
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Pretty high, all of my friends have gotten stable jobs in industry as PhD physicists whether they be experimentalists or theoreticians. |
| Dec24-12, 10:51 AM | #26 |
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| Dec24-12, 02:03 PM | #27 |
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| Dec24-12, 02:36 PM | #28 |
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My experience is probably colored by the fact that my cohort finished their phds around 2008, when things headed south economically. Of the five physics majors from undergrad (early 2000s) I've kept in touch with, all did phds at good schools, two did postdocs, only 1 is still doing anything related to physics (highschool physics and bio teacher). Of my phd cohort, its all over the board, but the ones who still do physics studied silicon in grad school and work in the semi-conductor industry. The plurality of my phd cohort seems to be doing statistical/big data type work. After that, there is some finance, some IT, some programming,etc. The people who come close to using their physics seem to be doing patent law and grant review. Maybe the moral of the story is that when times are good (the 90s job market), and engineers are scarce physicists are decent utility players so they'll get hired into some engineering spots. When the job market is worse, and there are engineers available, no one wants a physicist. |
| Dec24-12, 09:23 PM | #29 |
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Bottom line for me is that I won't starve if I get my PhD in physics.
I'm still going to try the whole research faculty route though, maybe I'll be the lucky one :/ It's sad too, I just seriously got into research and I love it! |
| Dec25-12, 04:29 PM | #30 |
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One reason I'm asking this is that there are a number of research areas in physics which have embraced "big data", such as experimental particle physics or astronomy (Jerry Friedman, a renowned statistics professor at Stanford specializing in machine learning, was originally a particle physicist). So conceivably a physics PhD student specializing in such areas will have developed an appreciation for and understanding of large-scale inference without spending a great deal of time retraining themselves to work in big data type work. (I know you mentioned in your case that you spent some time retooling your skill set while working as a bartender). Another reason I'm asking is that in discussions that I've followed with other statisticians, there is much lamenting the perceived lack of understanding or appreciation of statistics on the part of physicists. See, for example, the following amusing comment on the blog from physicist-turned-statistician Cosma Shalizi, currently a professor at CMU. http://masi.cscs.lsa.umich.edu/~crsh...eblog/297.html |
| Dec25-12, 06:02 PM | #31 |
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| Dec26-12, 08:56 AM | #32 |
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Quantum mechanics and statistical mechanics made so much more sense to me after the preliminary actuarial exams.
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| Dec26-12, 12:01 PM | #33 |
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It is true that formal statistics is not part of the standard physics curriculum, and it's also true that HEP has reinvented the wheel more than once (and often not a particularly round wheel at that). I had three courses in probability and statistics in college, which was enough to make me wince at the way statistics is handled.
That said, one of the secrets of industrial statistics is that the textbook is not of much help. If it's in the textbook, chances are it's already in SPSS or SAS and they don't need your help. I made a few extra grand moonlighting as a statistical consultant when I was a postdoc, and my bread and butter was figuring out and explaining what to do when the book doesn't say what to do. Which is a lot like they way statistics is done in HEP. |
| Dec26-12, 12:17 PM | #34 |
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That said, because my statistics is so spotty (my self-study was and is heavy on machine learning and light on many other things), I've found myself reinventing the wheel on quite a number of occasions (I have a few functions I built in R that later turned out to be less-efficient clones of existing functions). |
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