Transitioning to Physics from Neuroscience

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Discussion Overview

The discussion centers on the challenges and considerations of transitioning from a Ph.D. in computational neuroscience to a career in theoretical physics. Participants explore the implications of their academic backgrounds, potential pathways, and the relevance of their current research to future opportunities in physics.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant expresses a desire to transition from neuroscience to theoretical physics, questioning how their Ph.D. in Applied Mathematics might affect their future opportunities in physics.
  • Another participant suggests that if there is flexibility in the thesis research, it should align more closely with physics to facilitate the transition.
  • Concerns are raised about the competitiveness of postdoctoral positions, particularly against candidates with stronger physics backgrounds.
  • A participant notes that many faculty in theoretical biophysics and soft matter come from diverse backgrounds, indicating some receptiveness to candidates switching fields after their Ph.D.
  • It is mentioned that transitioning to more developed fields of theoretical physics may be challenging due to funding structures for postdoctoral positions.
  • Some participants highlight the importance of having a strong foundation in relevant areas, such as stochastic processes and random matrix theory, to aid in the transition.

Areas of Agreement / Disagreement

Participants generally agree that transitioning from neuroscience to theoretical physics is possible but may present challenges, particularly regarding postdoctoral opportunities and the need for relevant background knowledge. However, there is no consensus on the best strategies for making this transition.

Contextual Notes

Participants express uncertainty about the specific requirements for postdoctoral positions and the impact of their current research focus on future opportunities. There are also unresolved questions regarding the necessary qualifications for advanced physics courses.

Emir Shark
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Hello,

I am midway in my Ph.D. in computational neuroscience. The exact degree that I will have will be a doctorate in Applied Mathematics. I have always been interested in physics (E&M, QM). I have always known this but I was too afraid to pursue my passion. I am learning physics as I go and even planning on auditing some graduate-level classes such as statistical mechanics, quantum mechanics, and electrodynamics. I don't know what kind of researcher I want to be, I do like astrophysics though. I have a lot of programming background.

I know it is far more common for people to transition from theoretical physics to other fields such as neuroscience, quantitative finance. But what about the other way around? If I graduate with an Applied Math Ph.D., how hard is it to get into theoretical physics? I don't want my Ph.D. to brand me as a neuroscientist for life.

Any advice?
 
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Two things occur to me (these are not great revelations).
  1. If there is any flexibility in your thesis research you need to choose a direction towards your goal
  2. You will need the perfect POSTDOC position with contacts to an even more "physics" oriented position as a next step. Start to plan now.
Your assessment of the usual direction is correct: from general to specific. It has much to recommend it. But excellent work in anyone field is a pretty good indicator of future success and most people understand this . So do excellent work.
 
Thank you for your reply. I am trying to incorporate physics into my current thesis.
 
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Emir Shark said:
even planning on auditing some graduate-level classes such as statistical mechanics, quantum mechanics, and electrodynamics.

Point 1 - do you have the upper division undergraduate background to handle these classes?
Point 2 - what is your plan for competing for postdocs against candidates with stronger backgrounds?
Point 3 - what is your long-term career objective, and will that employer care what your PhD is in? If so, what's your plan for getting around that?
 
Emir Shark said:
Thank you for your reply. I am trying to incorporate physics into my current thesis.
Here's a link to a page from which you can download an open-text neurophysics (graduate-level) introductory paper PDF: https://www.researchgate.net/publication/227181721_Foundations_of_Neurophysics
 
Many faculty working in theoretical biophysics/soft matter are located in applied math departments. A sizable number of them (especially among more senior faculty) switched fields during their career, usually from more well developed areas of physics such as high energy or quantum condensed matter. In general many of these faculty are quite receptive to people switching fields after their PhD, at least for people coming from the areas I mentioned. However, if you have a strong background in areas such as stochastic processes and random matrix theory it may be possible to transition to these fields even though your thesis work is in computational neuroscience.

I think it is unlikely for you to be able to switch to a more developed field of theoretical physics because of how post docs are funded. Postdocs in these areas are usually funded by department/institutional/other independent fellowships or they are shared by a group of faculty. So it is very hard to get one of these positions even if you did your PhD in that area. In biophysics/soft matter, many postdocs are funded by a single PI (likely because these fields are better funded), so while it may be difficult to get a fellowship, you may be able to find a PI who is willing to hire you.
 

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