Areas of EE that use computations and modeling?

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The discussion highlights the desire to transition from a Physics PhD to a Master's in Physics with a focus on computational methods in electrical engineering (EE), particularly in areas like solid-state electronics and optics. There is a concern about the lack of hands-on experience among recent engineering graduates, emphasizing that practical skills are essential for applying computational knowledge effectively in real-world scenarios. The importance of understanding how to translate computational work into tangible results is stressed, as employers value engineers who can bridge the gap between theory and practice. The conversation underscores that while computational tools are valuable, they must be complemented by practical experience to be truly effective in engineering roles. Ultimately, a balance between computational skills and hands-on experience is crucial for success in the field.
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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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