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Phd Signal Processing Jobs (NOW HIRING)

$112K - $151K/yr

... with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years ... Implement or maintain signal processing algorithms written in C/C++, Python or MATLAB * Ability to ...

$90K - $114K/yr

Develop system concepts and signal processing algorithms * Work as part of a small team to ... PhD in related field; or High School Diploma or equivalent and 9 years relevant experience.

$90K - $114K/yr

Develop system concepts and signal processing algorithms * Work as part of a small team to ... PhD in related field; or High School Diploma or equivalent and 9 years relevant experience.

$112K - $151K/yr

... with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years ... Implement or maintain signal processing algorithms written in C/C++, Python or MATLAB * Ability to ...

PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ... RF signal processing, HF propagation (or propagation in dispersive, heterogeneous media), adaptive ...

PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ... RF signal processing, HF propagation (or propagation in dispersive, heterogeneous media), adaptive ...

We are seeking Sensor Signal Processing Engineers to concept, develop, and deliver prototype ... PhD degree preferred. Experience 0-3 years experience in Physics Engineering or related. Additional ...

Showing results 21-40

Phd Signal Processing information

See salary details

$53.5K

$131.3K

$193.5K

How much do phd signal processing jobs pay per year?

As of Aug 6, 2026, the average yearly pay for phd signal processing in the United States is $131,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 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 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 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 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.

More about Phd Signal Processing jobs
What cities are hiring for Phd Signal Processing jobs? Cities with the most Phd Signal Processing job openings:
What states have the most Phd Signal Processing jobs? States with the most job openings for Phd Signal Processing jobs include:
Infographic showing various Phd Signal Processing job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $131,349 per year, or $63.1 per hour.

$112K - $151K/yr

Full-time

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Re-posted 16 days ago


Huntington Ingalls Industries rating

7.5

Company rating: 7.5 out of 10

Huntington Ingalls Industries

Based on 147 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

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Based on 74,941 frontline employees who took The Breakroom Quiz


Job description

Requisition Number: 29056
Required Travel: 0 - 10%
Employment Type: Full Time/Salaried/Exempt
Anticipated Salary Range: $112,421.00 - $151,602.00
Security Clearance: Secret
Level of Experience: Senior
This opportunity resides with Warfare Systems (WS), a business group within HII's Mission Technologies division. Warfare Systems comprises cyber and mission IT; electronic warfare; and C5ISR systems.
HII works within our nation's intelligence and cyber operations communities to defend our interests in cyberspace and anticipate emerging threats. Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware development uniquely enable us to support sensitive missions for the U.S. military and federal agency partners.
Meet HII's Mission Technologies Division
Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you.
To learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072
Job Description
HII Mission Technologies Division (HII-MT) is seeking a Signal Processing Engineer with the ability to analyze large data sets.
This position is located at Wright Patterson Air Force Base (WPAFB), Ohio and is within a commutable distance from Beavercreek, Fairborn, Dayton, and Riverside.
#LI-HB1
#LI-HB1
Essential Job Responsibilities
  • Analyze large data sets
  • Develop system concepts and signal processing algorithms
  • Work as part of a small team to architect, develop, implement signal processing algorithms
  • Modeling and simulation of signal processing algorithms.

Minimum Qualifications
  • 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years relevant experience.
  • Implement or maintain signal processing algorithms written in C/C++, Python or MATLAB
  • Ability to obtain and maintain TS/SCI security clearance with enhanced security checks
  • CLEARANCE: Secret clearance minimum to start work

Physical Requirements
Office, industrial, or shipboard environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances. Lifting and moving materials may be required.
HII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application.
Why HII
We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
Recognized as one of America's top large company employers, we are a values and ethics driven organization that puts people's safety and well-being first. Regardless of your role or where you serve, at HII, you'll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career.
Together we are working to ensure a future where everyone can be free and thrive.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.
Do You Need Assistance?
If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co.com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1-844-849-8463 for assistance. Press #3 for HII Mission Technologies.

Working at Huntington Ingalls Industries

About Huntington Ingalls Industries, in their own words

From Huntington Ingalls Industries

Our 44,000-strong team includes skilled tradespeople; artificial intelligence and machine learning experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large employers, we are a values and ethics driven organization that puts people's safety and well-being first. Here you'll find a collaborative environment, competitive benefits, and valuable educational and training programs that span our shipbuilding apprentice schools in Virginia and Mississippi to tuition reimbursement programs that support continual career growth at every stage of your career.

Our values of integrity, safety, respect, engagement, responsibility and performance are the foundation of HII's ethical culture that inspires employees to do the right thing each day, regardless of the circumstances.


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