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Phd Signal Processing Jobs in Silver Spring, MD (NOW HIRING)

STR

Lead All-Source Analyst

Arlington, VA · On-site

$157K - $224K/yr

Create system models from circuit diagrams, schematics, source code, signal processing algorithms ... Active CI poly or willingness to obtain one * BS, MS or PhD in Computer Science, Computer ...

STR

Lead All-Source Analyst

Arlington, VA · On-site

Government • Active CI poly or willingness to obtain one • BS, MS or PhD in Computer Science ... Circuit and flow diagrams, signal processing chains, network traffic data • Willing to travel ...

STR

Lead All-Source Analyst

Arlington, VA · On-site

Government • Active CI poly or willingness to obtain one • BS, MS or PhD in Computer Science ... Circuit and flow diagrams, signal processing chains, network traffic data • Willing to travel ...

STR

Lead All-Source Analyst

Arlington, VA · On-site

Government • Active CI poly or willingness to obtain one • BS, MS or PhD in Computer Science ... Circuit and flow diagrams, signal processing chains, network traffic data • Willing to travel ...

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All JobsPhd Signal Processing JobsPhd Signal Processing Jobs in Silver Spring, MD

Phd Signal Processing information

See Silver Spring, MD salary details

$55.3K

$135.8K

$200K

How much do phd signal processing jobs pay per year?

As of Jun 15, 2026, the average yearly pay for phd signal processing in Silver Spring, MD is $135,785.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,200.00 and $152,500.00 per year, depending on experience, location, and employer.

What are PhD Signal Processing professionals?

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, and why are they important?

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.

What job categories do people searching Phd Signal Processing jobs in Silver Spring, MD look for? The top searched job categories for Phd Signal Processing jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Phd Signal Processing jobs? Cities near Silver Spring, MD with the most Phd Signal Processing job openings:
Phd Signal Processing jobs near you
Research SME - Signal Processing

Research SME - Signal Processing

Bluemont Technology & Research, Inc.

Bethesda, MD • On-site

Full-time

Posted 23 days ago

Job description

JOB TITLE: Research SME - Signal Processing
LOCATION: Bethesda, Maryland
CLEARANCE: No clearance required to start but prefer TS/SCI with CI Poly.
JOB RESPONSIBILITIES:
• Attend meetings, workshops, conferences and testing events as a Subject Matter Expert.
• Assist with the development of presentations such as Program Management Reviews.
• Serve as a Liaison between Performers, Test & Evaluation contributors, Government and Transition partners.
• Review, provide analysis, and make recommendations concerning technical reports, data and Performer approaches.
• Select, establish, curate, and maintain collaborative communication, issue tracking, and configuration environments for use by the program.
• Provide reach-back support for program related requirements for systems integration, design, development, modeling and simulation, data analytics and architecture design.
• Examine data sources and literary sources for emerging technology related to the Program.
• Provide technical support and expertise on new concepts beyond the Program but integral to the Program's success.
REQUIRED EXPERTISE:
• Must have current Top Secret/SCI (Tier 5+) with polygraph clearance.
• Bachelors' degree in computer science, applied physics, electrical engineering, systems engineering, or a related technical field, with six plus (6+) years of work experience in one of these fields, or Masters' degree with two plus (2+) years of work experience.
• Four (4) years of experience or equivalent education involving telecommunications systems, radio frequency (RF) sensing, signal processing, biometric sensing modalities, and/or advanced sensor system design and evaluation.
• Two (2) years of experience or equivalent education using test and measurement equipment relevant to advanced sensing technologies, such as spectrum analyzers, oscilloscopes, RF test platforms, wireless communications testbeds, biometric sensor test systems, or commercial off-the-shelf sensing devices.
• One (1) year of experience managing a multi-disciplinary research and development (R&D) or Test and Evaluation (T&E) team.
• Two (2) years of experience creating program plans, work breakdown structures, and milestone schedules.
DESIRED EXPERTISE:
• Masters' degree or PhD in computer science, applied physics, electrical engineering, systems engineering, or related fields, with four plus (4+) years of work experience.
• Four (4) years of experience with programming languages or tools commonly used in sensing, data analysis, or experimental automation, such as LabVIEW, Python, MATLAB, C/C++, or embedded systems software.
• Two (2) years of experience with machine learning, pattern recognition, biometrics analytics, RF signal classification, or other AI/ML methods relevant to sensing applications.
• Two (2) years of experience in the Intelligence Community (IC), including experience with requirements, CONOPS, and transition.
• Awareness of supply chain, security, and integration considerations for commercial off-the-shelf sensing technologies, telecommunications hardware, and RF components.
• Four (4) years of experience managing a multi-disciplinary research and development (R&D) or Test and Evaluation (T&E) team.
• One (1) year of experience as a Project Manager or Deputy Project Manager.
Bluemont Technology & Research, Inc. (Bluemont) offers a premium benefits package. Our culture is based on treating people like you would treat yourself. The company is focused on challenging applications of cutting-edge technologies and data intensive applications. Bluemont maintains a drug-free workplace and performs background checks.
Bluemont is an E-Verify Employer. Follow this link to view: www.dhs.gov/E-Verify

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