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The truth is that there is a lot of variability between PIs and their students. Some see them as lab techs/free labor, others see them as their family. I"m curr
by omnisci 14y ago
The truth is that there is a lot of variability between PIs and their students. Some see them as lab techs/free labor, others see them as their family. I"m currently sitting in my lab and experiencing both, one PI is really interested in their students/post-docs lives, has parties for their students, and has a close knit group, whereas the other has the polar opposite. Care to guess which lab is more successful?
In regards to the article, yes. It hits all of the points that all grad students should understand. Especially the social part, which tends to be difficult when PhDs are known to be socially awkward. Hence Beer :D.
Re:Delirium, in my experience (Biology) Professors don't pay for their students tuition. That should be covered by the department for 3-5 years.
- jpdoctor 14y ago> The truth is that there is a lot of variability between PIs and their students. Some see them as lab techs/free labor, others see them as their family. Very true. I'd add: There is also a wide range of management styles of the profs. Some are hands-off (come back and see me in a month), others want hourly updates. The best ones dial their style upon recognizing which way the student works best.
- denzil_correa 14y ago>The best ones dial their style upon recognizing which way the student works best. So true! Each one of us is different. Personally, I love my freedom and ability to work at my own hours. My advisor always respects that and allows me to do so. He however adopts a different strategy for other students.
- deleted 14y ago[deleted]
- denzil_correa 14y agoI was told most of these points by my advisor when I entered my PhD program. I just forwarded this article as well. :-)
- _delirium 14y agoOn the last point, my experience is in CS, but it's worked similarly in other departments where I know PhD students and/or profs. When a professor at the places I've been hires a research assistant on grant money, the grant account is charged stipend + tuition (plus overhead, but that's usually already been taken out up front). It might be a reduced tuition, e.g. at state universities it's common to give an out-of-state tuition waiver so the grant is only charged the in-state graduate tuition rate, even for out-of-state students. But that's often still in the $10-20k range. If the student isn't grant-funded, then yes, the prof isn't expected to pay them anything: the department will cover their tuition, and they'll work as a TA to earn their stipend. But at R1 universities it's nowadays expected that profs will fund at least a substantial proportion of their PhD students each year on RAships paid out of grant money. The difference is not always obvious from the student perspective, though: when departments say they guarantee funding for 3 years, they just mean that somehow the student will be funded each year, not that the department will pick up the funding each year. The goal is to get the profs to pay for as much as possible out of grants, with departmental internal funding as a backstop.
- omnisci 14y agoThanks for that info, I wasn't aware of how PhDs worked in CS. It sounds very similar to Bio with the exception that the department typically has money for their students coming in(the best schools have training grants from NIH which cover incoming students). Tuition is always covered and is only up to the PI to pay when the student's departmental money runs out, but in practice, the dept. picks it up if the student TAs. At good schools, students are encouraged (and in some cases, mandated) to submit a grant to NIH which covers their tuition/stipend and provides some travel money for conferences. That grant is really difficult to get, so most 3-6th year students are covered under their PIs grant, or they teach to cover tuition.
- ronyeh 14y agoI was in the CS program, and ended up TA-ing for 7 quarters to cover my tuition. :-) The best way to get your tuition covered is to work on a project that is attached to an NSF grant.