Ask Slashdot: Which Ph.D For Work In Applied Statistics / C.S.?
New submitter soramimo writes "I'm currently a Ph.D student in Machine Learning and Biology at a pretty good European university. As my lab is moving to the U.S., I have the chance to get my Ph.D from an Ivy League university instead of the one in Europe (without much additional work, as I'm close to finishing). However, I would be getting a Ph.D in Biological Sciences rather than Computer Science. As I'm planning to work as an applied statistician / computer-scientist / analyst in the U.S. after graduating, I'm wondering which path to take. Is a Ph.D in Biological Sciences frowned upon by technology companies, or is it out-weighed by the Ivy League tag? How big of a role does the type of Ph.D play in the hiring process in the U.S., compared to what you actually did (thesis focus, publication record, software)?"
In the world of business, what you did is much more important. Your experience and actual outputs are far more important then the kind of Ph.D you have.
Employers will care about what you did more than what your degree is named. There are lots people working in fields that don't correspond to the subject-name of their PhD degree.
If it weren't for deadlines, nothing would be late.
You're hiring a someone to be a computer scientist. Would you rather see them have a CS degree or a biology degree? Ivy League degree or Pretty Good European University? I think everyone is going to look at this differently. I know *I'd* rather see the CS degree. I wouldn't be overly impressed by Ivy League but I think a lot of others would be. I work in the the tech field along with people who have degrees in unusual areas (Dance?) but are technically top notch.
BTW, these days it seems a lot of resumes are searched for key words. If they're hiring a computer scientist - guess what keywords they're going to look for?
Bio-informatics is a good place to be an applied statistician. There are also good opportunities in neuroscience, especially if you want (or are willing to) do experiments. Some of the data analysis and acquisition code is pretty sophisticated, and a grad student from my last lab got a good CS job by doing that. Further, any lab that uses super-resolution or EM microscopy is a good place to look. If you tell me which school, I can perhaps give you a few names.
He once inserted random mutations into his code, just so he could have the experience of debugging.
In my experience when the lab moves the students either (1) get a degree from old university or (2) apply to new university and go through the qualification process over. I would check again, before assuming it is your decision. I even know a case, where a 3rd year grad student at Yale was turned down acceptance into Berkeley grad school
My employer historically has hired lots of PhDs; we design mixed signal chips. My own PhD has basically nothing to do with my job, but the sort of person who can make it through the PhD process in a hard (science or engineering) field has tended to do well here. That high % of PhD folks is changing a bit as we have been growing way too fast lately to not hire a larger % of MS, but when your bread and butter is to do chips that are "hard" enough to get decent margins rather than being commodity priced the ability to go figure things out that everyone doesn't already know is quite useful. Actually FINISHING the PhD is a lot better predictor than STARTING a PhD BTW.
Some of the finest people I've worked with in software have degrees distantly related to computer science, math, or software engineering. Music, religion, "interdisciplinary studies", and an accounting dropout are included in that mix. They are right to pish-posh it away. Actually, as an art person, you wouldn't happen to live near Phoenix, know Java well, and be interested in working on GIS applications for remote sensing, would you? We have a good product that probably could use a techie with an art background to improve its UI.