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Applied Mathematical Programming (1977)

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Re: Applied Mathematical Programming (1977)

#51
post #19

"Applied ..."? On the Optimization Ph.D. qualifying exam, got a "High Pass" and the best score in the class. In optimization answered a question in the Kuhn-Tucker constraint qualifications and had the paper accepted quickly in Mathematical Programming . Taught linear programming in a well-known business school for 5 years. NYC had a few users, in a loose group, of linear programming but were not very good at it. Som…

Hey I'm just replying because I currently have a BSc with Honors in math and a double major with econ but I'm having trouble in the current market. I also am interested in pursuing a master's in combinatorics or optimization. Is there anything you recommend besides not getting the PhD?

What is your ideal career in 10 years: topics, day-in-the-life, talens you're using, etc.?

Work backwards, check those jobs exist, look at what qualifications they'd benefit from

Re: Applied Mathematical Programming (1977)

#52

Earlier quoted context omitted.

Hey I'm just replying because I currently have a BSc with Honors in math and a double major with econ but I'm having trouble in the current market. I also am interested in pursuing a master's in combinatorics or optimization. Is there anything you recommend besides not getting the PhD?

What is your ideal career in 10 years: topics, day-in-the-life, talens you're using, etc.? Work backwards, check those jobs exist, look at what qualifications they'd benefit from

I know it goes against the thread but I am considering a career in academia. I'd like to become a Prof if possible. If that doesn't work out then a job that allows me to solve interesting math problems everyday. I was thinking optimization research but maybe not from how this thread is going. Besides that working for Renaissance tech or a similar company also interests me.

Re: Applied Mathematical Programming (1977)

#54
post #33

Earlier quoted context omitted.

Sounds like you opened up the newspaper and scanned for “mathematician”. Leveraging phd research into a great job is a tough. Re-skilling into a normie engineer/technician/analyst, is not. My point is not to criticize your job hunting skills, it’s to suggest that this an undue psychological burden in your life and is perhaps masking other causes and personal challenges.

Naw: The WaPo period was before my Ph.D. The ads were for computing -- math not mentioned. For some years, the career was computing but with some math, e.g., the FFT (fast Fourier transform), .... I never wanted the Ph.D., what I learned there, the research I did there, to be the basis of a career. Instead, before the Ph.D. I had a good career going with computing and, at times a crucial help, some math, and went for…

> I doubt that there is still any real career opportunity in "applied" optimization.

I agree there are no ready made jobs for that.

But you yourself know there are optimization problems all over real life. It’s a sales problem. Companies don’t know what they need or who has it.

> there is nearly no career in "applied" optimization

Agreed. But that’s true of all PhDs. The only difference is business guys see “computer science” and have an idea of where it fits in their org. It’s easier to sell. But in reality there is no business for experts in complexity theory or category theory type systems.

Making money involves solving practical problems. Even professors take a two job approach, mixing official research to get tenure with stuff they are actually interested in.

> With a BS "With Honors" in math, I got strongly recruited

This is very unfortunate. Because professors grew up competing in an academic tournament for their jobs they think that’s how the whole world works.

Re: Applied Mathematical Programming (1977)

#55
post #33

Earlier quoted context omitted.

Naw: The WaPo period was before my Ph.D. The ads were for computing -- math not mentioned. For some years, the career was computing but with some math, e.g., the FFT (fast Fourier transform), .... I never wanted the Ph.D., what I learned there, the research I did there, to be the basis of a career. Instead, before the Ph.D. I had a good career going with computing and, at times a crucial help, some math, and went for…

> I doubt that there is still any real career opportunity in "applied" optimization. I agree there are no ready made jobs for that. But you yourself know there are optimization problems all over real life. It’s a sales problem. Companies don’t know what they need or who has it. > there is nearly no career in "applied" optimization Agreed. But that’s true of all PhDs. The only difference is business guys see “computer…

Correct!

Re: Applied Mathematical Programming (1977)

#56

Earlier quoted context omitted.

What is your ideal career in 10 years: topics, day-in-the-life, talens you're using, etc.? Work backwards, check those jobs exist, look at what qualifications they'd benefit from

I know it goes against the thread but I am considering a career in academia. I'd like to become a Prof if possible. If that doesn't work out then a job that allows me to solve interesting math problems everyday. I was thinking optimization research but maybe not from how this thread is going. Besides that working for Renaissance tech or a similar company also interests me.

I'd strongly encourage you to leave academia for at least 2 years, preferably a little more -- and go intern, or work at, at least 2 or 3 different companies. This will benefit your mental health, working practices, and sense of perspective.

Academia is full of superstitions and misunderstandings about 'industry', and is an ideologically closed system designed to present itself and its practices as of the highest value. Including, as mentioned here, hijacking 'industrial values' (such as utility, applicability, etc.) and presenting itself with them.

This is in part a straight deception: academics need to lie about this to governments and other funding agencies in order to get funding. And in part naivety, their sense of 'application' is so far removed from any, that they are poor judges of it.

Enabling these deceptions is, of course, that academic output does occasionally have an impact over longer time horizons. But it is more the case that something written ~30 years ago will today find some use by a small team somewhere -- which might have a lot of impact, but isnt on the scale or time lines you'd need for your research today to give you an ROI.

Indeed, as you'll see if you're in industry long enough, there is often something very suspicious and deceptive about the values of various research communities. Even when researchers are told: no one cares about this, this does not have the value you say it does, this isn't a real problem etc.-- they continue. Why? Because they aren't interested in solving problems people have, they are interested in whatever puzzles are current within their community.

If you want to solve real problems using research, it is better to go out and undertand what problems people actually have, then go back into research aiming to help them.

Re: Applied Mathematical Programming (1977)

#57

Earlier quoted context omitted.

I know it goes against the thread but I am considering a career in academia. I'd like to become a Prof if possible. If that doesn't work out then a job that allows me to solve interesting math problems everyday. I was thinking optimization research but maybe not from how this thread is going. Besides that working for Renaissance tech or a similar company also interests me.

I'd strongly encourage you to leave academia for at least 2 years, preferably a little more -- and go intern, or work at, at least 2 or 3 different companies. This will benefit your mental health, working practices, and sense of perspective. Academia is full of superstitions and misunderstandings about 'industry', and is an ideologically closed system designed to present itself and its practices as of the highest val…

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