MSc Computational Physics: career options & salary?

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SUMMARY

The discussion centers on the career options and salary expectations for individuals with a Master’s degree in Computational Physics. The participant, who holds a BSc in Physics and is pursuing an MSc in Computational Physics, expresses a desire to enhance employability while exploring various interdisciplinary fields such as machine learning and robotics. Key concerns include the relevance of the MSc thesis to industry applications and the lack of resources detailing salary expectations for computational physics graduates. The participant aims to avoid a long-term academic career due to financial insecurity and is considering a PhD in a potentially different field.

PREREQUISITES
  • Understanding of Computational Physics principles
  • Familiarity with programming languages relevant to scientific computing
  • Knowledge of statistical mechanics and molecular dynamics
  • Awareness of industry applications of computational techniques
NEXT STEPS
  • Research industry-relevant topics such as Finite Element Method (FEM) and Monte Carlo simulations
  • Explore job titles and salary ranges for computational physics graduates in sectors like data science and AI
  • Investigate interdisciplinary applications of computational physics in neuroscience and robotics
  • Learn about the impact of thesis topics on employability in industry
USEFUL FOR

This discussion is beneficial for graduate students in physics, aspiring computational physicists, and professionals exploring career transitions into industry roles that leverage computational skills.

csp256
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I have a BSc of Physics from a different university. I start my MSc of Computational Physics next semester (I've just been taking courses at the new university this semester). I am an above-average programmer with a pretty good background in CS theory. I am very multidisciplinary and have lots of technical hobbies and interests outside of physics (machine learning, computer vision, metaheuristics, robotics (especially AI), game development, GPGPU, HPC, FPGA, robust statistics, compressed sensing, computer architecture, etc). My university has many fields of strength in physics, and of those I think I am most interested in computational statistical mechanics / molecular dynamics and multiscale physics.

What I want to do long-term is still very nebulous. I am pursuing Comp-Phys because I think it will be easier to switch disciplines later with that background. I know that I like learning and I like being challenged.

I have heard enough horror stories to say I do not think I want to stay in academia long term. I value financial security too much to go through the postdoc scam: I grew up poor, have no security-net, and a hefty loan-debt. Still, I will probably indulge myself and pursue a PhD, but it might not even be in physics or CS: I've been sitting in on some interesting neuroscience seminars recently, and I'm sure in a few more months I will have another discipline catch my eye. As such, I intend to use my masters to make myself as highly employable as possible, because any PhD would be purely self-indulgent.

1) Is it important to industry to have my MSc thesis be in something which is (more or less) applicable to industry, like FEM or Monte Carlo? Does it matter at all if it is not exactly what they are doing?

2) I was not able to find a good resource for expected salaries for someone with a degree in _computational_ physics. What job titles/industries/careers are there for someone with that sort of training? What salary ranges are typical?

Thanks in advance, everyone!
 
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For some background, I'm currently a 3rd year physics major with an astro specialization studying in Canada, and as undergraduates are want to do I'm regularly evaluating my career prospects down the road. I also plan on pursuing grad school when I've completed my degree. It might just be my anxiety acting up a little, but with a lot of the government funding drying up for public science research broadly in the US, the 'industry' everyone keeps talking about when questions like this are...

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