Embedded Adaptive Control/Signal Processing Industry Careers

In summary, the conversation discussed a PhD student's background in EE and their interest in applying adaptive signal processing and control systems algorithms in embedded hardware, as well as computer vision and machine learning. They also expressed a desire to work in industry after completing their PhD and asked if anyone had experience in related fields. The conversation concluded with a suggestion that the student pursue their interests as it is a hot area in the industry and could lead to significant efficiency improvements.
  • #1
MassivelyParallel
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0
Hello,

I just began a PhD in Computer Engineering three weeks ago. I have an undergraduate degree in EE from a lesser quality university than I am now attending.

My background in EE focused on DSP/Image Processing, but it was all deterministic stuff (so no real-world stochastic stuff besides basic random signal theory).

I now get to determine how to focus my PhD and can basically go in any direction I want. My PhD advisor is a computer architecture specialist, and not a specialist in signal processing or control systems. He mainly hired me to be the "signal processing guy" to work on research focusing on analyzing how very specialized image processing algorithms utilize hardware resources of parallel processor architectures (these algorithms were not developed with parallelism in mind).

Well, I have been very fascinated with both signal processing and control systems, and was wondering if I should try to focus these years of my PhD on becoming a specialist in the area of applying adaptive signal processing and control systems algorithms in embedded hardware.

I am also interested in computer vision and machine learning, and these area's seem like version 2.0 of image processing and adaptive signal processing.

I definitely want to work in industry after my PhD.

Does anyone here work in industry in a field related to embedded signal processing and control (or computer vision and machine learning)?

Is this a hot field?
 
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  • #2
Well the first question is: does this fire you up? Do you think you could be passionate about this project? You will work harder than you ever thought possible on it, so you had better enjoy it.

That said, custom processor architectures for specific applications or software domains (e.g. image processing) is a very hot area, and will most likely be hotter when you get out. A lot of researchers in high-performance and warehouse-scale computing are finding that they are power limited, and there is a potential for significant efficiency improvements if they move to processing architectures co-designed with their software architecture.

So. my feeling is yes, this is a hot area, and if you are excited about the work, go for it!
 

1. What is embedded adaptive control/signal processing?

Embedded adaptive control and signal processing involves designing and implementing algorithms and systems that can adapt to changing conditions in real-time. This is typically used in industries such as aerospace, automotive, and robotics to improve performance and efficiency.

2. What industries use embedded adaptive control/signal processing?

Some of the industries that commonly use embedded adaptive control/signal processing include aerospace, automotive, telecommunications, medical devices, and robotics. These industries often have complex systems that require real-time adaptation to changing conditions.

3. What skills are needed for a career in embedded adaptive control/signal processing?

A career in embedded adaptive control/signal processing typically requires a strong background in mathematics, computer science, and engineering. Specific skills such as programming languages, signal processing techniques, and control theory are also important.

4. What are the job prospects for careers in embedded adaptive control/signal processing?

The demand for professionals with expertise in embedded adaptive control/signal processing is expected to continue to grow as industries increasingly rely on advanced technologies. Job prospects are generally favorable, with opportunities in a variety of industries and roles such as software engineer, systems engineer, and research scientist.

5. What are some common job responsibilities in the embedded adaptive control/signal processing industry?

Some common job responsibilities in the embedded adaptive control/signal processing industry include developing and implementing algorithms and systems, testing and debugging software, analyzing and interpreting data, and collaborating with cross-functional teams. Professionals in this field may also be involved in research and development to improve existing technologies or create new ones.

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