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Why Competing For Tenure Is Like Trying To Become a Drug Lord
Hugh Pickens DOT Com writes "Scott Jaschik writes in Inside Higher Education that the academic job market is structured in many respects like a drug gang, with an expanding mass of outsiders and a shrinking core of insiders and with income distribution within gangs extremely skewed in favor of those at the top, while the rank-and-file street sellers earned even less than employees in legitimate low-skilled activities. According to Alexandre Afonso, academic systems rely at least to some extent on the existence of a supply of 'outsiders' ready to forgo wages and employment security in exchange for the prospect of prestige, freedom and reasonably high salaries that tenured positions entail. 'What you have is an increasing number of brilliant PhD graduates arriving every year into the market hoping to secure a permanent position as a professor and enjoying freedom and high salaries, a bit like the rank-and-file drug dealer hoping to become a drug lord,' says Afonso. 'To achieve that, they are ready to forgo the income and security that they could have in other areas of employment by accepting insecure working conditions in the hope of securing jobs that are not expanding at the same rate.' The Chronicle of Higher Education recently reported on adjunct lecturers who rely on food stamps to make ends meet. Afonso adds that he is not trying to discourage everyone from pursuing Ph.D.s but that prospective graduate students need to go in with a full awareness of the job market."
I'm not really sure this is an apt analogy. Yes, you forgo higher wages while in graduate school, but if you don't make drug lord^H^H^H^H^H^H^H^H a tenure track position, you can head to industry and make a good wage. I don't think street dealers have this option. Yes, most of us want to go into academia, but having a fallback option with 50-100% higher salary doesn't seem so bad (speaking as a mathematician here--maybe humanities Ph.D.'s really are like drug dealers).
Another thing they downplay in the reward side of academia is the time flexibility. There are absolutely zero vacation days, but for the most part, outside of hours physically spent in the classroom (usually less than 10 a week, less than 40 weeks a year), you get to arrange your schedule. I've known professors who worked from home in the morning and the office in the afternoon, and one who showed up at 4:00 PM and stayed until 12 or 1 (I was always amused when he joined us for a beer "after" work on occasion). To a lot of us, this is a huge perk
I am facing the dilemma of whether to go (back) to the industry, where I was working before starting my PhD, or continue in academia as a researcher. On one had you have the job security and better salary offered in industry. On the other hand you have the thrill of scientific work and fewer (albeit not 0) corporate psychopaths.
I decided on Friday that I'll go for academia. My health is failing, I think I have 10 to 15 years if I'm lucky, and life is too precious to waste it on doing something I don't like all that much, just because of money.
I work in a combination engineering (without PhDs) and science (with PhDs) environment. I'll admit the PhDs are bit high on the Oddness Scale. The engineers, however, have this enormous chip on their shoulder about the qualities of the PhDs. They widely deride the PhDs has not doing anything real or even capable of doing anything real. Some PhDs are like this. In general, though, the PhDs are working on higher level problems, so it isn't any mystery that the engineers find them difficult to relate to. I get the general impression that for engineers, good mathematics is born of a virgin and immediately applicable to their interests. That "other" mathematics is the stuff that's difficult to understand and probably invented by PhDs somewhere in a ivory tower dedicated to the ineffable. Getting engineers to back off their immediate problem and tell us any general lessons about their widgets is nearly impossible, and they take pride in snowing us with trivial detail that makes no difference in the general picture. When we do attempt to generalized, we are immediately hit with "it doesn't solve my immediate problem with all the details filled in." Yeah, well, that's because your problem was generalized into a class of problems and the math we gave you will work for the entire class; now quit bitching and particularize it to your widget.