RK
Joined 18 years ago
Joined 18 years ago
This was in science departments. In departments that had few or no "general ed" courses, such as engineering, and thus little need for TA's, the graduation rate was much higher.
This was true in my experience as well. I applied to grad school for 2004 and heard lots of crazy stories from programs about high applicant numbers and quality. I ended up at a "hidden gem" versus a top program. A couple years later I re-applied to PhD programs and got accepted everywhere.
In today's markets it's a little hard to believe that people would be flocking to grad school due to a poor industry market, but it seemed to be the case across science and engineering fields. I'm sure that influx also made the bad academic job market even worse, unfortunately.
https://carlwillis.wordpress.com/2008/02/20/uranium-chemistr...
1. Flip a coin.
2. If the result of the coin flip makes you hesitate at all, you know that was the choice you didn't really like anyway. Go with the other choice.
Here's what Wikipedia says:
* The terms used to refer to Native Americans have been controversial. According to a 1995 U.S. Census Bureau set of home interviews, most of the respondents with an expressed preference refer to themselves as "American Indians" or simply "Indians"; this term has been adopted by major newspapers and some academic groups
Incidentally he now works as a film editor.
* Quantitative finance
* Insurance (working on models that were beyond what the actuaries were trained to do)
* Data science
* Scientific equipment R&D
* Scientific equipment sales
* Popular science writing (this is a bit of an outlier!)
* Defense contracting (engineering, "scientific" programming, etc)
* Programming
* Door-to-door insurance sales (no joke)
I usually tell people to brush up on their programming skills as much as possible. If you're a theorist who only does pencil + paper or maybe Mathematica, it might be hard to find a decent job. Also, it never hurts to talk to / network with any industry people that are related to your field (software or hardware vendors, etc).
I'm now doing data science, but have also done hardware development and electrical engineering related things (signals). When I was transitioning to data science I also did some very specialized consulting related to my PhD. A few people paid me to do simulations and/or help then implement some techniques that I worked on as a grad student.
Also: I had a very supportive advisor, who encouraged me to accept a job offer before I graduated.
http://carlwillis.wordpress.com/
Highlights include Chernobyl trips, a trip to "Soviet Ground Zero", and a how-to for DIY uranium chemistry.