Neuroscience/AI/quantum computing

AI Thread Summary
Computational neuroscience, AI, and quantum computing are emerging fields that intersect significantly, presenting new research opportunities. A physics degree is often viewed as advantageous for entering these interdisciplinary areas due to its broad foundational knowledge. Pursuing a PhD in theoretical physics can be beneficial, but to enhance prospects for postdoctoral and faculty positions, candidates should focus on developing strong skills in programming, data analysis, and interdisciplinary collaboration. Engaging in research projects that bridge physics with AI and neuroscience, as well as networking within these fields, can also improve job prospects. Additionally, gaining experience in computer engineering may provide valuable insights and skills relevant to these areas.
samjiyon32
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I have been reading about physicists that study things like computational neuroscience/AI and quantum computing. It is my understanding that these subjects are very closely linked and form a relatively new and open area of science research. I also have the impression that a physics degree is the most broad and thus best for entering this sort of interdisciplinary and new research. Is this correct?

If I pursue a PhD in theoretical physics, with the goal of studying in this area, is there anything specific that I should do to improve my ability to land postdocs/faculty positions/etc?

Thanks!
 
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Computer Engineering
 
...Any other suggestions?
 

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Yesterday, 9/5/2025, when I was surfing, I found an article The Schwarzschild solution contains three problems, which can be easily solved - Journal of King Saud University - Science ABUNDANCE ESTIMATION IN AN ARID ENVIRONMENT https://jksus.org/the-schwarzschild-solution-contains-three-problems-which-can-be-easily-solved/ that has the derivation of a line element as a corrected version of the Schwarzschild solution to Einstein’s field equation. This article's date received is 2022-11-15...
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