Xref: utzoo comp.software-eng:402 misc.jobs.misc:1535 Path: utzoo!mnetor!uunet!tektronix!orca!stank From: stank@orca.TEK.COM (Stan Kalinowski) Newsgroups: comp.software-eng,misc.jobs.misc Subject: Re: American Programmer (What's a Ph.D. worth?) Message-ID: <2524@orca.TEK.COM> Date: 3 Apr 88 23:23:41 GMT References: <555@psu-cs.UUCP> <1434@ur-tut.UUCP> <3415@bunker.UUCP> <3326@zeus.TEK.COM> <461@vsi.UUCP> <5775@bunny.UUCP> <2218@ttidca.TTI.COM> <5388@utah-cs.UUCP> Reply-To: stank@orca.UUCP (Stan Kalinowski) Organization: Tektronix, Inc., Wilsonville, OR Lines: 50 In article <5388@utah-cs.UUCP> shebs%defun.utah.edu.UUCP@utah-cs.UUCP (Stanley T. Shebs) writes: >Based on my recent experience in jobhunting, equating a PhD with however >many years it took you to get it is quite common. I think industry equates the time to earn a degree with equivilent time in the field because it is looking for results. Having a PhD does not necessarily guarantee results, having a good track record of results usually does. Industry tends to lay blame on our educational system. The hiring policy makers say that PhD's with no industry experience have difficulty making the transition from theoretical science to applied science and that PhD's don't know how to translate ideas into dollars. The following observation might illustrate what I'm getting at: A couple of years ago I read an article in the Sunday New York Times that said PhD's in Artificial Intelligence graduating from a leading school could earn something like $70,000. The article said that the starting salary was so inflated because of high demand for, and a small supply of Ai PhD's. I take this to mean that industry has spent a great deal of money on developing AI expertise. So far, I haven't heard of any companies reaping an acceptable gain on their investment in AI technology. AI has been applied mostly to internal systems development having only limited cost saving value. The few comercial products that use AI technology have met with only limited success. Perhaps it's too soon to tell, but it seems that in these days of "quick buck" business investment the AI PhD's have not been able to convert their knowledge into bottom line bucks. Who's to blame? Industry says that the fault lies with the educational system for not teachiing students how to apply technology profitably. Educational institutions blame industry for not providing enough financial support for education, for not fostering creative application of ideas, and for expecting too much from technology. The only conclusion I can make from all this is: IF WE DON'T CHANGE THE WAY WE ARE DEVELOPING AND MARKETING TECHNOLOGY WE WILL ALL LOSE! << DISCLAIMER >> The above opinions are my own, and are not necessarily representative of the company I work for (Tektronix). Please don't FLAME me if you diasgree with my analysis. I have merely stated my current opinion and I am open to calm, open-minded, discussion of these issues. I can even be persuaded to change my opinions when given a resonable counter argument. -- US Mail: Stan Kalinowski, Tektronix, Inc. Information Display Group, Graphics Workstations Division PO Box 1000, MS 61-028, Wilsonville OR 97070 Phone:(503)-685-2458 uucp: {ucbvax,decvax,ihnp4,allegra,uw-beaver}!tektronix!orca!stank