Grad School: Balancing Skills and Sub-Areas in Physics?

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SUMMARY

The discussion centers on a first-year graduate student's dilemma in balancing various interests within physics, including plasma physics, particle physics, and computer science, particularly AI applications in data analysis. The student expresses a desire to engage in multiple sub-disciplines while also developing programming and analytical skills. They seek advice on how to navigate their academic journey and determine the best focus for their research and career goals post-Ph.D. The conversation highlights the importance of aligning personal interests with academic and professional aspirations in the field of physics.

PREREQUISITES
  • Understanding of basic physics concepts, particularly in plasma and particle physics.
  • Familiarity with programming and data analysis techniques.
  • Knowledge of artificial intelligence applications in data processing.
  • Awareness of graduate school structures and research group dynamics.
NEXT STEPS
  • Explore interdisciplinary research opportunities in plasma physics and AI applications.
  • Learn about the latest advancements in single-molecule detectors and their implications in physics.
  • Investigate the role of algorithms in particle physics data analysis, particularly in the context of ATLAS.
  • Research career paths for physics graduates, focusing on academia, government labs, and industry roles.
USEFUL FOR

Graduate students in physics, aspiring researchers in interdisciplinary fields, and anyone interested in the integration of programming and AI within scientific research.

WarPhalange
So I'm in my first year of Grad school, where there is a crap load of groups I would like to join.

Things like plasma physics (fluid dynamics has always interested me and I'm taking a class on it now), single-molecule detectors, one-way nanopores, and a crapload of things from the engineering department that would fall under physics as well.

My problem? This is something I'd like to work on:



I mean, let's face it, I would be better than Jesus. But anyway, it's not that I've lost interest in physics. No, I in fact plan to take all the courses I can over the next few years, even if only one per quarter.

My dilemma now is that we have a particle group that works on ATLAS and one of the things they are doing is writing up algorithms for quick decisions on what to do with the gathered data. They need it to be as fast as possible, plus it involves AI to determine what is and is not "good" data.

Computer Science interests me and AI would no doubt be somewhere up the alley of artificial limbs (okay, so I like robotics in general, doesn't have to be that specifically), plus particle physics is also interesting to me, though I am a bit uneasy about the idea of having 2000+ people fighting over attention.

Any advice on how I could resolve this problem? i.e. what to do to help me figure out what I want to do? :shy:
 
Last edited by a moderator:
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40 views and no replies. Okay, that tells me nobody has any clue what I am asking. Here's a shorter version:

How much of Grad school is learning a set of skills vs. learning about a sub-area of physics?

I like programming, I like building and tinkering, and yeah, even analyzing data. I'd like to have my job have me do all of those. I can definitely see myself doing plasma physics for a while and then switching over to condensed matter or something. Nearly all areas of physics interest me, and what is more important for me is what my project is, and not as much what the physics is.

Am I in for a surprise? Or can I totally pull this off? Goals after Ph.D.: I don't know. Could be post-doc -> academia, or government lab, or straight to industry, or even starting my own company.
 

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