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Near the End of A PhD and Have No Job |
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| Jun12-11, 04:25 PM | #18 |
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Near the End of A PhD and Have No JobI must say that particular knowledge can matter, though, especially if our current work is more rapid, short-term types of projects that don't allow for the time it takes for non-specialists to get up to speed. My group does a lot of image and signal processing, almost all of which is based upon statistical theory. Our last Physics PhD I interviewed didn't get hired, primarily because he didn't know probability and statistics sufficiently well to be useful out of the box (I must say that this is by far the biggest problem we have with physicists - physics departments could greatly increase the marketability of their students by forcing them to take a one-year probability and mathematical statistics sequence at the senior level. Add in a stochastic processes class and a Fourier analysis course and they would be great hires!). If you have a clue about probability and statistics you need to get that into your resume somehow. And if you didn't take coursework on it, be prepared to be quizzed. If it were me, i would want you to know: prob: basic probability, conditional probability, expectation, something about gaussian random vectors and linear transformations of gaussian random vectors. estimation: least-squares, maximum likliehood, and know what the Cramer-Rao bound is and why it matters. It would be a bonus if you know mean-square estimation as well (aka minimum mean square error estimates). hypothesis testing: Neyman-Pearson lemma and likelihood ratio tests. Composite hypothesis testing would be included here, when you do not know noise levels apriori you have to estimate them (engineers call this generalized likelihood ratio tests). This stuff isn't hard and I wouldn't ask you for detailed derivations, just basic ideas that made it clear you understood the idea. best of luck. jason |
| Jun12-11, 05:13 PM | #19 |
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| Jun12-11, 05:38 PM | #20 |
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Some of the military labs may be worth a look, too. AFRL and ARL come to mind. best of luck, jason |
| Jun12-11, 07:19 PM | #21 |
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To take my company as an example, it's true that you won't be able to find out anything about ~95% of the specific projects we're working on; what gets made public is nonrepresentative. However, you should be able to find out who our major sponsors are and what sets us apart from other companies working for the same sponsors. You should also be able to figure out why we like science and engineering PhDs. It does take some work and I don't guarantee that it will always work, but putting some time into researching companies does pay off, at least in my experience. Being able to (intelligently) use certain keywords and phrases before my interviewers did appeared to work to my favor, anyway. |
| Jun16-11, 03:22 PM | #22 |
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Try the National Security Agency. They hire a lot of people with your quals. Having a foreign language is a plus, too.
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| Jun16-11, 08:56 PM | #23 |
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We do have lots of "meet and greets" and face to face recruiting sessions And we are one of the more open companies. We have a web page. There are hedge funds that don't have a web page. I should point out that this is one part of the culture that I don't like, and I'd like for us to be more open about what we do since a lot of it is mathematically and scientifically cool. The interesting thing is I don't think that anyone is *against* that idea. It's just that to change the standard operating procedure of saying nothing involves a lot of fighting inertia. greek = math derivative delta = first derivative duration = scaled first derivative gamma, convexity = second derivative Curiously, I got me first job because I was a FORTRAN 77 guru. There were Java experts all over the place, but very few people that knew FORTRAN 77. Some people collect antique wine. Some people collect antique cars. I've gotten jobs knowing out to deal with antique code. This gets into the danger of following the crowd. One of the few things that you can do to maximize your winning in the lottery is to not pick the same numbers as everyone else. That's why questions like "what should I study" are somewhat self-defeating, because if everyone studies something, you'll get a bubble, and then people won't make money at it. |
| Jun16-11, 09:34 PM | #24 |
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Hi,
What about taking some, say, computer science courses in your school? If you are willing to stay in school for 1~2 semesters, you could probably even get an MS degree in cs, for free for you as you should have a tuition waiver! |
| Jul1-11, 01:08 PM | #25 |
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| Jul1-11, 09:04 PM | #26 |
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There's a tricky balance between humility and arrogance that one needs to get right in the job interview. On the one hand, one doesn't want to come across as a know-it-all. On the other hand, one reason that physics Ph.D. training is good is that you can learn something new on your own very quickly. One good/bad thing about the modern work place is that employers will not spend money on training. |
| Jul1-11, 09:05 PM | #27 |
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| Jul1-11, 10:06 PM | #28 |
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I find it interesting that no one on this thread had mentioned anything about setting up a profile on LinkedIn, where you can upload a complete resume and tailor both your specific expertise and your career interests.
I would think that recruiters, headhunters and even a few hiring managers would contact the said individual, particularly if you have specific marketable skills, such as programming experience in MATLAB or C++ or statistical experience. I personally have received numerous contacts from recruiters informing me of positions (since I already have a full-time job which I enjoy, I have to turn these opportunities down, but I have connected with the recruiters to keep in me in the loop on other new opportunities). |
| Jul1-11, 10:17 PM | #29 |
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Twofish-quant, I have a few questions based on your posts here:
(1) I find it interesting about your assertion to the uselessness of HR in financial firms in general, and more specifically in your firm. After all, part of the responsibility of HR is in ensuring that they recruit talent suitable for a given division or department. Shouldn't senior management in the quantitative division of the financial firm be providing more input and guidance to HR as to what general qualifications they are looking for (e.g. a doctorate or equivalent experience in math/physics, extensive programming knowledge, etc.)? (2) I get the impression that financial firms that hire physics PhDs seem to be quite passive in terms of recruitment, in essence waiting for applicants to spam them with resumes highlighting their doctoral research. Am I mistaken about this? (in other industries it is quite common for potential employers to visit college campuses to do meet-and-greets with students). (3) I am curious as to whether someone with a physics PhD has an edge in financial firms as opposed to someone with a PhD in math, statistics, or industrial engineering/operations research. |
| Jul2-11, 11:20 PM | #30 |
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The reason is that 99% of the positions that HR fills are non-geek positions for non-geek applicants, so that filling geek positions is something that HR doesn't put a high priority on. Also, the research people would rather minimize HR's role in hiring. HR people tend to be people with *zero* technical skill, so when it comes to hiring technical people, both HR and the technical groups would rather they not make any actual hiring decisions. What happens is in my firm is that we have internal people that do HR things. Often this is informal, (i.e. manager has a stack of resumes and asks for volunteers to go through them). If you are lucky, and you send your resume to HR then it will get forwarded to someone that can do something about it. However, there are a dozen ways for your resume to get lost in the shuffle, and there is no incentive at all for the company to make sure your resume doesn't get lost. Technical positions are different from other positions. For some positions, you don't need specialized knowledge to weed out incompetent people. For example, if I were interviewing for bank tellers or mortgage salesman, I can do that without too much specialized knowledge. (Quick: try to sell me a mortgage.) For other positions there is some credential you can use. For example, medical and law have licensing. For software engineering and quantitative finance, this isn't true. If you have no specialized knowledge and you are trying to interview a mortgage salesman, you can try to have them sell you a mortgage. If you have no specialized knowledge, then how you are going to begin to do a technical interview of a Ph.D. in astrophysics? (Incidentally, I knew that I would like finance when people started asking questions about general relativity at the interview, and I knew I was in the right place when the interviewer pointed out that I flipped two variables in the answer.) This is where headhunters come in. It's not that we think that MIT physics Ph.D's are smarter than physics Ph.D.'s from Random State. The issue is that MIT graduates about 40 physics Ph.D.'s per year, whereas Random State graduates two, and so if you hold a "Ph.D. party" at MIT you can get people to show up. Also alumni are pretty key. A lot of these "meet and greats" are just an alumni showing up at their old school to give a talk. Also, Ph.D. hiring is different from MBA hiring. MBA's get hired by the truckload. With some very rare exceptions, Ph.D.'s get hired one or two at a time. So if you are hiring one person, and you have one person graduating, then having a meet and greet isn't that efficient. Also, you have similar problems with the structure of finance. There are a few largest investment banks, but lots of mom-and-pop hedge funds. If you have a company that has twenty people, then it's hard to put on a road show. The other problem is that campus career services is usually not set up for Ph.D. hiring. This is also why hiring decisions are team based. One thing that happens is that people tend to be biased toward people with the same backgrounds as they come from. I've noticed for example, that if you have someone that has done astrophysics, the I tend to give them higher ratings than if I interview someone with a background in statistics or operations research. Partly this is because, if I ask a question, it's likely to be something that someone that has done astrophysics knows. But this can be bad, so what we try to do is to make sure that the interviewers have a mix of backgrounds so that the biases cancel each other out. |
| Jul2-11, 11:32 PM | #31 |
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Also this is why a lot of hiring in finance is personal. If I take a friend out for lunch, I can ask if he is happy or not (and tell him if I'm happy or not). I don't know what is going to come out of the conversation, but I know that he is not going to get me fired. If I talk to someone random, I don't know that. Headhunters do this from time to time. However, in finance there are a lot of scummy headhunters, so one thing that you have to worry about is getting good quality HH's. One thing that I worry about is that some idiot HH will call me at work or send me e-mail at my work address. Now any non-idiot HH will know not to do that, but if I put my resume online, I have no way of screening out idiot HH's. But even if I wanted to do this I can't, because if I did put my entire resume online, I'd get this nasty letter from HR telling me to take it down or I'll get fired. |
| Jul3-11, 10:33 AM | #32 |
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Thanks again to everyone in this thread, my incessant whining must grow tiresome. :-p
I have started to do some basic C++ using just emacs and my g++ compiler I need for a variety of my NASA-made packages I run. I'm picking it up rather easy, but I'm having flashbacks to IDL with all this annoying declaring of variables. I much prefer Python. I'm still having the issue that every time I look at even small DCs, I can't really find too much in the way of jobs I'm a great fit for... I just am not terribly optimistic applying for a job in engineering stuff (even when I can do it), because they just don't seem to care about physics people. The REALLY frustrating thing is I have some contacts that are heads of entire divisions of their company, and generally the response I get back is that I have impressive credentials, they just don't have anything for me. |
| Jul3-11, 10:42 AM | #33 |
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Twofish-quant, thank you for your replies to my questions, although your answers raise a number of other questions, as follows:
(1) As you mentioned, HR for the most part do not have technical skills and they are primarily responsible for filling the 99% of positions that are non-technical. However, many large companies (many financial firms in the US fall in this category) have large HR departments. You would think that within the recruitment division of HR you could find at least a handful of people with some limited technical capabilities who could devote themselves solely for helping to recruit technical positions. For example, large pharmaceutical firms hire biostatisticians like myself, and much of that recruitment is handled through recruiters or HR (even though neither the recruiters nor the HR personnel have any background in statistics). Also, I have seen technical positions being listed on the websites of large financial firms in Toronto (where I live and work) which require a PhD in math/applied math/physics. After all, the role of HR is to ensure that the firm can fill a given position with the best possible candidate, and if the positions requires specific qualifications, such as a physics PhD, you would think that HR should be able to find candidates without necessarily needing to know "what" these candiates can specifically do (the interviewers can handle this aspect of things). (2) I find it really curious that those who work in financial firms could get in trouble for putting your resume online in LinkedIn. I work for a clinical research organization (CRO) i.e. a contracting firm specializing in providing biostatistical services, among others, to pharmaceutical and biotechnology companies, and it is common practice for people in my general industry, from entry level personnel to senior management, to put their entire profile, including their complete resume, online. I have never heard of any of these individuals being reprimanded by HR or from management, simply for putting their resumes online. (3) One thing I hear of constantly is the importance of networking, but it seems to be that financial firms seems to go out of their way to make this very difficult. Furthermore, financial firms, at least from your replies above, also seem to go out of their way to make it difficult for individuals with technical backgrounds (such as a PhD in physics) to know what positions are out there. Which leads me to wonder this, how are graduate students in physics or math interested in working for finance supposed to know who to apply to or where to send their resumes or CVs (including knowing which headhunter is reputable)? You had suggested simply spamming resumes left and right, but that's difficult to do if you don't even know which companies are offering what positions. (4) On a related note to question (3), what does YOUR firm do to find suitable candidates for technical positions? |
| Jul3-11, 10:46 AM | #34 |
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I would also suggest trying to make either new connections on LinkedIn, send out messages to specific managers or recruiters, or join specific groups on LinkedIn that are focused on the area of your interest. You can find much information on potential job postings in this manner as well. |
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