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Phd Signal Processing Jobs in Detroit, MI (NOW HIRING)

Kla

Algorithm Engineer

Ann Arbor, MI

$105K - $180K/yr

PhD Level Degree with foundation in signal/image processing * Academic or work experience required in any of the following areas: Signal /Image Processing, Applied Mathematics , Detection ...

KLA Corporation

Algorithm Engineer

Ann Arbor, MI · On-site

$105K - $180K/yr

PhD Level Degree with foundation in signal/image processing * Academic or work experience required in any of the following areas: Signal /Image Processing, Applied Mathematics , Detection ...

Utilidata

VP, AI & Applications

Ann Arbor, MI · Remote

$230K - $290K/yr

... learning, or signal processing * Demonstrated experience in algorithms and decision-making ... PhD strongly preferred in Electrical Engineering, Computer Science, Control Systems, Applied ...

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All JobsPhd Signal Processing JobsPhd Signal Processing Jobs in Detroit, MI

Phd Signal Processing information

See Detroit, MI salary details

$53K

$130K

$191.6K

How much do phd signal processing jobs pay per year?

As of Aug 21, 2026, the average yearly pay for phd signal processing in Detroit, MI is $130,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $146,000.00 per year, depending on experience, location, and employer.

What is a PhD signal processing professional?

PhD Signal Processing professionals are experts who have earned a Doctor of Philosophy (PhD) in the field of signal processing, which involves analyzing, modifying, and interpreting signals such as sound, images, and scientific measurements. They apply advanced mathematical and computational techniques to extract meaningful information from complex data. These specialists often work in research, academia, telecommunications, medical imaging, audio engineering, and other industries that require sophisticated data analysis. Their work is crucial in developing technologies like speech recognition, radar systems, and biomedical devices.

What are the key skills and qualifications needed to thrive as a PhD signal processing specialist?

To thrive as a PhD Signal Processing specialist, you need deep expertise in mathematics, statistical analysis, and advanced signal processing algorithms, underpinned by a doctoral degree in electrical engineering or a related field. Proficiency in MATLAB, Python, C++, and experience with simulation tools and machine learning frameworks are commonly required, along with publications or research experience. Strong analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are vital for designing innovative solutions, advancing research, and conveying complex findings to both technical and non-technical stakeholders.

What are some common challenges faced by professionals in PhD-level signal processing roles and how can they be addressed?

PhD-level Signal Processing professionals often encounter challenges such as managing large, complex datasets and developing novel algorithms that balance accuracy and computational efficiency. Staying current with rapidly evolving technologies and research can also be demanding. These challenges are typically addressed through ongoing professional development, collaboration with multidisciplinary teams, and leveraging advanced computational tools. Regularly participating in conferences, workshops, and peer discussions can also help professionals overcome research hurdles and stay innovative in their field.

What is the difference between Phd Signal Processing vs Signal Processing Engineer?

AspectPhd Signal ProcessingSignal Processing Engineer
Required CredentialsPhD in Signal Processing or related fieldBachelor's or Master's in Electrical Engineering, Computer Science, or related field
Work EnvironmentResearch labs, academia, R&D departmentsIndustry, technology companies, product development
Employer & Industry UsageUniversities, research institutions, some tech companiesTech firms, telecommunications, aerospace, defense
Common Search & ComparisonYesYes

The main difference between Phd Signal Processing and Signal Processing Engineer lies in their focus and credentials. A PhD typically involves advanced research, theoretical work, and academic or R&D roles, while a Signal Processing Engineer applies practical skills in industry to develop and implement signal processing solutions. Both roles require knowledge of signal processing concepts, but their work environments and career paths differ significantly.

Is a PhD worth it in electrical engineering?

A PhD in electrical engineering, including signal processing, can lead to advanced research, academic positions, and specialized roles in industry. It typically requires several years of study and research, but can result in higher earning potential and expertise in areas like algorithms, hardware, and data analysis.

Is signal processing in demand?

Signal processing is in high demand across industries such as telecommunications, aerospace, healthcare, and defense, especially for roles involving data analysis, algorithm development, and system design. Professionals with expertise in digital signal processing, machine learning, and programming tools like MATLAB or Python are sought after as technology advances and data-driven solutions expand.

What are popular job titles related to Phd Signal Processing jobs in Detroit, MI?

For Phd Signal Processing jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Phd Signal Processing jobs in Detroit, MI look for?

The top searched job categories for Phd Signal Processing jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Phd Signal Processing jobs?

Cities near Detroit, MI with the most Phd Signal Processing job openings:

Phd Signal Processing jobs near you

Software Research - Audio Signal Processing

Ruri Software Technologies LLC

Warren, MI • On-site

$192K/yr

Full-time

Re-posted 3 days ago

Job description

Job title: Software Research - Audio Signal Processing
Location: Onsite. Warren Park, MI
JD:
This project will research software methods for audio detection and signal processing by leveraging machine learning architecture on embedded computing platforms, optimizing their performance within the constraints of these resource-limited systems.
What you need for this position:
• MS or PHD in Computer Science, Computer Engineering, Software Engineering, or similar.
• Project management skill that will ensure timely completion of quality deliverables, proactive time response and capable to properly assess and communicate ahead of time possible bottle necks or delays in tasks.
• In-depth knowledge and experience in real-time application and software development such as hardware-in-the-loop instrumentation and experiments, rapid prototyping system design using Matlab/Simulink, Python, Android applications and GM's ULTIFI platform.
• Very familiar with automotive communications bus specifications and protocols (OBD-II, CAN, Ethernet, Serial, etc.), appropriate test equipment, and computer-based design tools.
• Ability to read, interpret arxml files, integrate the CAN specifications in RTI environment to interface with other vehicle components.
• Ability to write and compile embedded C and Python code
• Knowledge in database systems (i.e. SQL, Oracle)
• Deep knowledge in communications protocol software tools from Vector, Intrepid and Dspace.
• Deep Knowledge in sound processing and general signal processing concepts
• Deep knowledge in ML/AI concepts including SVM and NN
•
Years of Experience: 7.00 Years of Experience
Regards
Surya
Surya@rurisoft.com

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