Embedded graphics drivers for real-time systems.
I keep the physics part of my brain alive by developing physics based Unity assets (nbodyphysics.com) and supporting a package for GR on github (grtensor).
I still buy WAY too many physics books. Current aspiration is to work through "Modern Classical Physics" Thorne/Blandford.
If you're thinking of getting it but want to check it out, there's a 2012 draft version that the authors have previously taught from here: http://www.pmaweb.caltech.edu/Courses/ph136/yr2012/. It's not the same as the book, of course, but from a skim it seems quite similar.
A good choice for less math might be "Gravity from the ground up" by Schutz.
None of this pays the bills, right now I help build clouds, and I used to build supercomputers, and high performance storage systems.
Somehow I doubt it! In any case, you are like me - doing engineering and software, while doing my physics as a hobby and loving it. I'm working on Physics from Symmetry. Definitely a 21st century book - not at all like the traditional development of the subject.
Yeah, I'm keen to give that a go. Interestingly it is not a problem that is very easy to parallelize, since every mass will affect every other mass. There may still be some cool ways to use ECS though.
My grad work had no connection to data/stats and I have not bumped into any low hanging fruit where Riemannian geometry might be the answer!
The central issue is understanding how changes in control parameters (for instance concentrations of catalysts in a chemical system, or local fields in a spin system) affect the evolution of the probability distribution over states. Some work has been done in close to steady state (for instance [1,2,3]) but it's far from resolved.
This has some nice applications - designing efficient protocols for microscale devices, for instance.
[1] https://arxiv.org/abs/1603.07758 [2] https://arxiv.org/abs/1507.06269v1 [3] https://arxiv.org/abs/1201.4166