Looking to transition from data science to computational physics

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Discussion Overview

The discussion revolves around the transition from data science to computational physics, focusing on educational pathways, career prospects in the UK and the US, and the qualifications typically required for roles in this field. Participants share insights on the job market and the necessary educational background for aspiring computational physicists.

Discussion Character

  • Debate/contested

Main Points Raised

  • One participant is considering pursuing A level maths, further maths, and physics to transition into a joint degree in physics and computer science, aiming for a career as a computational physicist.
  • Another participant expresses skepticism about job availability for physicists without a PhD, suggesting that a bachelor's degree may only lead to technician roles.
  • A different participant concurs with the previous skepticism, indicating that graduate students often take low-wage positions as interns or technicians in industry.
  • One participant mentions that national laboratories employ a variety of professionals, including computational physicists, and emphasizes the importance of having a solid background in specific areas of physics or related fields.
  • There is a reference to a friend who works as a postdoctoral associate at MIT, implying that a PhD is typically necessary for advanced positions in computational physics.

Areas of Agreement / Disagreement

Participants generally disagree on the job prospects for computational physicists without a PhD, with some expressing doubts about the feasibility of securing relevant positions with only a bachelor's degree, while others highlight the diverse roles available in national laboratories.

Contextual Notes

The discussion reflects uncertainty regarding the specific qualifications needed for computational physicist roles and the variability in job prospects between the UK and the US. There are also assumptions about the necessity of advanced degrees for certain positions that remain unchallenged.

Who May Find This Useful

Individuals considering a career in computational physics, those transitioning from data science, and students exploring educational pathways in physics and computer science may find this discussion relevant.

plaguedbyfoibles
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In my late twenties, currently working as a data scientist in the UK, looking to sit A level maths, further maths and physics as a private candidate (not going through a distance learning provider) and pursue a joint degree in physics and computer science (which I know both St Andrews and Edinburgh offer), or a general physics degree, and seek work as a computational physicist.

Anyone know what career prospects are like for those seeking work as computational physicists in the UK and where I can look to for industrial placements?

Are the career prospects better for their US counterparts? I have a friend who studied computational physics and now works as a postdoctoral associate at MIT, and he said that for the national laboratories in the US, at the very least you need to be educated to undergraduate level.
 
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Honestly, I don't see any jobs for "physicist" anywhere that don't require a PhD. A BS might get you a job as some sort of lab technician or the computational equivalent, but "computational physicist" implies many, many more years of education.
 
Vanadium 50 said:
job as some sort of lab technician or the computational equivalent
And usually that is what graduate students (or "interns" in industry) are doing for very low wage cost.
I concur that this plan does not sound very promising.
 
So, what has happened during the intervening period?

plaguedbyfoibles said:
I have a friend who studied computational physics and now works as a postdoctoral associate at MIT
That implies a PhD.

National labs employ statisticians, mathematicians, physicists (both theoretical and applied), and engineers of various disciplines and data scientists. Some are computational physicists, who often work with data scientists, and usually, there are teams of folks from various disciplines tackling complex problems.

For a computational scientist, it would help to have a solid background in some aspect of physics (condensed matter physics) or chemistry, and/or materials science.
 
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