Areas of EE that use computations and modeling?

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SUMMARY

The discussion centers on the intersection of computational methods and electrical engineering (EE), particularly in areas such as power systems, signal processing, communications, acoustics, and image analysis. The participant expresses a desire to transition from a Physics PhD to a Master's in Physics with a focus on computational materials science, while also exploring opportunities in solid-state electronics, lasers, and optics. A critical point raised is the importance of hands-on experience in engineering roles, emphasizing that theoretical knowledge alone is insufficient for practical applications in the industry.

PREREQUISITES
  • Understanding of computational methods in engineering.
  • Familiarity with electrical engineering concepts, particularly in power systems and signal processing.
  • Knowledge of solid-state physics and its applications in electronics.
  • Experience with software tools used in computational modeling and simulation.
NEXT STEPS
  • Research career paths in computational materials science and its applications in EE.
  • Explore hands-on engineering roles that integrate computational methods with practical applications.
  • Learn about software tools used in signal processing and image analysis.
  • Investigate the role of hands-on experience in solid-state electronics and optics engineering.
USEFUL FOR

Individuals considering a career in electrical engineering, particularly those interested in computational methods and software applications, as well as current students in physics or engineering disciplines seeking to bridge the gap between theory and practical engineering solutions.

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I'm currently in the middle of a Physics PhD program but I now want to drop out with a Masters. I'm considering a career as an materials engineer or EE, but I definitely want to focus more on using software than 'hands-on' work.
I heard that power systems, signal processing, communications, acoustics, and image analysis are areas of EE that use computational methods. What about in other areas of EE, such as solid-state electronics, lasers and optics? I'm more interested in those fields. How can I get those computational EE jobs if I get my MS in Physics by doing research in computational materials science?
 
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Not to be too smart-A** -- but really all of them if they are really EE... while SS I consider EE - but in an ee degree in this this is often referred to as Solid State Physics - really a cross over realm. However, lasers and Optics I put more in the Physics realm.
However EE jobs - is another issue - and on this I am rather sour about your comment "focus more on using software than 'hands-on' work". While you do not need to expect or plan a career being "hands on" - there is currently an epidemic of engineers graduating with no hand on experience, not wanting, or even willing to do hands on work. The issue is without understanding how to transition the computational world to reality - IS NOT VALUABLE... I do not know how to stress this enough. In the real world ( i.e. not academia) - real things need to be made, build, tested, re-engineered - etc... With a strong computation background and approach an employer willing to work on the production floor for 3-10 years - then you are golden. Computational tools are just that - understanding the tool in one thing using it to DO something is different entirely. - Sorry for the rant - but I have this discussion with clients looking for engineers 2-3 a WEEK.
"it worked in simulation" is not equal to "it worked.", it is <<<
 

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