Right Qualifications for DFT in Industry

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SUMMARY

The discussion centers on the qualifications needed for pursuing a career in Density Functional Theory (DFT) within the industry, particularly for someone with a PhD in Computational Condensed Matter. The participant has a strong background in high-performance computing (HPC) and numerical techniques but lacks experimental skills. It is established that while many industry roles utilize open-source DFT libraries, the complexity of developing competitive DFT programs is significantly higher than simpler numerical methods. Notable researchers in the field include Georg Kresse and Juerg Hutter, who focus on algorithm development and applications in DFT.

PREREQUISITES
  • Understanding of Density Functional Theory (DFT)
  • Familiarity with high-performance computing (HPC) techniques
  • Knowledge of numerical methods in computational physics
  • Experience with open-source software libraries for DFT
NEXT STEPS
  • Research the development of DFT algorithms and their applications
  • Explore open-source DFT software libraries such as Quantum ESPRESSO or VASP
  • Investigate the work of Georg Kresse and Juerg Hutter on DFT
  • Learn about the integration of HPC techniques in DFT simulations
USEFUL FOR

This discussion is beneficial for computational physicists, postdoctoral researchers in condensed matter, and professionals seeking to transition into industry roles focused on DFT and nanoelectronic device simulations.

maverick_starstrider
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Hi All,

I'm finishing up my PhD in Computational Condensed Matter. I've worked almost exclusively in spin systems using things like Monte Carlo and Exact Diagonalization. However, my specialty is in producing high-quality, high-performance, often parallel research codes (i.e. none of my codes have used other libraries, they're all written by me and probably internationally competitive for the exact esoteric problem I was working on). I've also had 3 industry co-op jobs utilizing a variety of numerical techniques.

So long story short I'm a condensed matterist with a pretty decent and robust background in computational theory and HPC (high-performance computing).

I'm now doing the job hunt and what I'd like to do, in a perfect world, is do simulation/numerical work on sort of nanoelectronic devices such as spintronics, graphene, crazy heterojunctions, etc. However, I'm starting to get the impression that most of this industry or near-industry postdoc work is using DFT (Density Functional Theory) and seems to just be done using available open source software libraries.

I have no experimental skills and I don't know how attractive my HPC background would look if these groups are just using some black box libraries.

Do you guys think these sorts of jobs are a slim chance for me?
 
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If you are looking for a post-doc, I would not see any problem with this. Doing something different than you did before is the point of a post-doc, after all.

But just a comment on the DFT & similar approaches: I would recommend not calling them "black-box libraries". And the reason people "just use" them instead of making their own is that making a competitive solid state DFT program is *at least* two orders of magnitude more complicated than hacking up some Fermion exact diagonalization or quantum Monte Carlo program. Nevertheless, if you would like to focus on the development of such programs: That is also a scientific discipline, followed in many groups (e.g., look up Georg Kresse in Vienna, or Juerg Hutter or Joost VandeVondele in Zuerich). Typically you would then work on some aspect of improved algorithms, and do some applications that profit from this.
 
Thanks so much man. I actually looked into the groups (and others) that you posted. I appreciate the reply.
 

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