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I'd be surprised if someone from http://csl.stanford.edu http://csl.stanford.edu wrote that article. My point is that it matters a lot what area you did your Ph
by muneeb 13y ago
I'd be surprised if someone from http://csl.stanford.edu http://csl.stanford.edu wrote that article. My point is that it matters a lot what area you did your PhD in and not just that you finished a PhD in CS. If your area was Machine Learning and you can't get a data scientist job then you obviously messed up. If your area was networks/systems and you can't get a programming job then you obviously messed up! Those cases are very clear (and rarely ever happen). But you can't take a specific case of working in an area outside of core systems or ML and then try to generalize it as the "PhD -- industry gap". CS is an exception, and not an example, of the PhD--industry gap. Try talking to grad students outside of CS and you'll see how envious they are of CS PhDs finding industry jobs.
- pwnguin 13y agoHe worked in [biosimulation](https://simtk.org/users/ctj https://simtk.org/users/ctj). A bio [here] claims he worked on 3D slicer, but I don't see any (such contribution)[https://github.com/Slicer/Slicer/graphs/contributors https://github.com/Slicer/Slicer/graphs/contributors].
- muneeb 13y agoI guess what I was trying to say earlier was that a "PhD in CS from Stanford" is not a universal thing that can then be used to see how desirable (or not desirable) it is in the industry job market. It matter a lot what area you worked on. For example, both systems/networking and AI/ML are in high demand right now and it's very hard to argue against that (which is not clear from the article at all).