things to do with a MATH PhD

[@DOCTORJAN714]

Problem is: Until you get tenure, and forever if you don't work in academia, you're always working for someone else and have no control over how much you make, your schedule, or even if you're going to have a job tomorrow. All that work, and you're not even your own boss.

[@JoelRosenfeld]

Certainly, unless you make your own company, you aren’t going to have that freedom. But really, I have always had the luxury of my choice of research projects, and control over my own schedule. My whole time in academia I have only had a couple hours a week where I had to be anywhere in particular, and I’ve been left alone to do my work otherwise. This includes my PhD time and my postdocs.

[@DOCTORJAN714]

@@JoelRosenfeld That's great for you, indeed. I just would guess that that's not the norm.

[@JoelRosenfeld]

@@DOCTORJAN714 it’s very field dependent. Most mathematicians that I know have this sort of freedom for their schedule. But those in biology and chemistry have much more rigid schedules because of the lab work

[@privateprivate5302]

NOW How long does it take for teachers who want to participate in a academic research to reach/achieve tenure😒

[@JoelRosenfeld]

@@privateprivate5302 depends on what you mean by teacher. If a teacher has a bachelors degree, then they would need to go to graduate school to get a PhD. That’s 5 years on average. Then if they get a professor position right out of school, then it would take another 6 years for tenure, typically. If they need to do a postdoc for more experience, then that would be another 3-5 years or so. So about 15 years from the completion of a bachelors degree

[@BlueNEXUSGaming]

​@@JoelRosenfeld So, you're saying that people can't start doing research into new areas until they are almost 40 years old? Try telling that to Tesla, Einstein, Edison, Ford, The Wright Brothers, and the handfuls of other people who are responsible for the modern world; even the Founding Fathers of America were mostly around 20 years old, perhaps you need to reevaluate this concept. Tenure is not the way to afford research, tenure is the way to retire from a career wherein you enriched the minds of the next generation with your own knowledge.

[@JoelRosenfeld]

@@BlueNEXUSGaming No. You do research the whole time. I have brought in over a million dollars of external funding to do research into topics like control theory, formal methods in computing, data science, and neuroscience over the past 15 years. The 15 year mark is when Universities trust you enough to give you permanent employment. I’ve been doing research since I was about 24/25. And having gotten tenure, this is when everything starts to ramp up even more; bigger group, bigger grants, etc. It’s anything but retirement.

[@JoelRosenfeld]

@@BlueNEXUSGaming Doing this research is very hard. It takes a lot to learn what’s important and how to do it. but it is also what leads to companies like Tesla to be able to have self driving cars. That sort of technology incubated in academia for decades before it became commercially viable.

[@BlueNEXUSGaming]

​@@JoelRosenfeld You never mentioned any of that in the video; additionally, self driving cars was the first AI according to many accounts, electric vehicles competed with the Model-T from Ford but were seen as too girly, and Edison Motors made Electric Trucks before Tesla Motors and they used their refunded Tesla Motors Cyber Truck investment money as their startup money because they were tired of waiting. Furthermore, starting a sentence with "and" is bad grammar, comparable to including "0+" at the start a trigonometric math equation, because there is no prefix to conjoin the suffix of the "and" to; my grandmother was an English teacher, and you should have better writing literacy if you plan to write such complicated research papers while working towards tenure, it is not difficult to access a Thesaurus. Proper research doesn't require the majority of the development time, as the largest hurdle is the manufacturing process and building the infrastructure to scale, as most of the infrastructure requires funding for technology that is not yet existing, or has not had proper worksite education to safely teach people how the manufacturing machinery functions, or it might lack a proper legal team to provide copyright and trademark protections, or they lack a customer base large enough to quantitate such a large manufacturing process; eventually, someone more skilled shows up, and they simply do a better job at building a better product with a more streamlined logistics than the previous product, but the minutiae is stifling progression, and malformed information alongside half truths are not making the learning and research process any easier. Even with tenure, that won't guarantee you won't get laughed out of academia for your research, lest we forget what happened to those who suggested that the world was a spheroid, or that the Earth was not the center of the solar system, or that momentum is relative to the observer and not a universal constant, or that the speed of light was a range of speeds and not equivalent to the speed of causality because light had mass (additionally, (E)=((m×c)²)=((m²)×(c²)) vs (E)=(m×(c²))=((m¹)×(c²)) is also a difficult equation to interpret because it is commonly written as "E=mc²" and people should really use Parenthetical Brackets as their primary identifiers of the computational sequence ESPECIALLY in academia, since the result can cause a wide differential between potential sums), just to name a few.