When is computer visions PhD required?

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The discussion centers on the decision-making process for an undergraduate Electrical Engineering student considering career options after graduation. The student has an opportunity for an engineering embedded position but is interested in pursuing a career in augmented reality, image recognition, or computer graphics, specifically in R&D roles such as architecture design for physics engines. Key points include the consideration of whether a PhD is necessary for these fields, with insights suggesting that while a PhD may not be required, a Master's degree is likely beneficial. Additionally, extensive real-world or academic experience is emphasized as crucial for entering these competitive areas. The impact of accepting the embedded position on future prospects in R&D is also a concern, indicating a need for strategic career planning.
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Hi,

Looking for some assistance on a decision. I'm an undergraudate EE student completing an extension to my industrial year in RF. I have the opportunity to accept an engineering embedded position on graduation however am swayed towards augmented reality, image recognition or computer graphics.

My question: If I am to pursue an R&D position in these fields (e.g. architecture design for physics engines) are PhD's required? Furthermore does anyone know what the prospects are like in these fields? Also how will accepting this offer effect my prospects.

Thanks for any help in advance
 
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Those tend to be grad-level CS courses although usually undergrads can take them. A bare minimum would be extensive real-world experience or academic experience. I doubt a PhD is required but a MS probably is.
 
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