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Phd Signal Processing Jobs in Pennsylvania (NOW HIRING)

... signal/image processing, modeling and simulation, and Fourier analysis. Candidate must possess ... 5 years, or PhD with 0-2 years in Image Science, Optics, Applied Physics, Mathematics, or ...

... with signal processing, Bayesian statistics and machine learning. Exemplary software engineering ... The candidate must have a PhD in Physics, Astronomy or a closely related field.This is a term ...

Lead Silicon Photonics Design Engineer

Horsham, PA ยท On-site

$101K - $133K/yr

PhD degree in Electrical and Computer Engineering, Optics and Optical Engineering, Physics, or ... Good knowledge of digital signal processing * Excellent verbal and written communication skills

... signals in application materials based on available information. These tools assist our recruitment ... If you would like more information about how your data is processed, please contact us.

... signals in application materials based on available information. These tools assist our recruitment ... If you would like more information about how your data is processed, please contact us.

Lead Silicon Photonics Design Engineer

Horsham, PA ยท On-site

$101K - $133K/yr

PhD degree in Electrical and Computer Engineering, Optics and Optical Engineering, Physics, or ... Good knowledge of digital signal processing * Excellent verbal and written communication skills

Showing results 21-40

Phd Signal Processing information

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.

What job categories do people searching Phd Signal Processing jobs in Pennsylvania look for? The top searched job categories for Phd Signal Processing jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Phd Signal Processing jobs? Cities in Pennsylvania with the most Phd Signal Processing job openings:
Infographic showing various Phd Signal Processing job openings in Pennsylvania as of August 2026, with employment types broken down into 100% Full Time. Highlights an 95% In-person, and 5% Remote job distribution.

Image Scientist / Physicist

Arcfield

Chesterbrook, PA โ€ข On-site

Full-time

Re-posted 8 days ago


Job description

Responsibilities
Candidate should have technical experience in image analysis of remote sensing systems data (PAN, IR, MSI, HSI, LIDAR, RADAR, etc.). Examples of relevant experience include radiometric or thermometric analysis, sensor/atmospheric calibration, MTF and SNR assessments, exploitation algorithm development, signal/image processing, modeling and simulation, and Fourier analysis.
Candidate must possess familiarity with image processing and software tools such as ENVI/IDL, Matlab, or Python. Other beneficial skills could include experience with atmospheric radiative transfer models (e. g. MODTRAN), XML data handling, image product formats (NITF, JPEG, etc.), AI/ML tools and "big data" analysis techniques.
Examples of specific tasks include:
โ€ข Perform studies and analysis to characterize and improve the quality of remote sensing data.
โ€ข Coordinate calibration planning by leading weekly payload calibration meetings, generate calibration handbooks, master schedules, data dissemination CONOPS, readiness plans, success criteria, and readiness review execution plans.
โ€ข Manage collaborative sites for calibration activities; create, populate, and maintain data repositories to allow distributed teams to access required data and collaborate on execution.
โ€ข Deliver and publish radiometric data, sensor characterization reports, and calibration task out briefs.
โ€ข Fully analyze and report findings of calibration truth data, characterize and report accuracy..
โ€ข Maintain and update scripts, processes and data required for calibration assessment and monitoring
โ€ข Conduct analysis to validate test and transition of capabilities.
โ€ข Coordinate with external stakeholders to develop future capabilities, requirements updates and planning.
โ€ข Monitor and assess enterprise product and data integrity.
โ€ข Lead independent enterprise investigations of anomalous product quality performance and produce analysis to expedite problem identification and resolution.
Qualifications
Required:
โ€ข Must be able to obtain and maintain TS/SCI w Poly
โ€ข Bachelor's degree with 5-7 years of relevant experience, Master's with 3-5 years, or PhD with 0-2 years in Image Science, Optics, Applied Physics, Mathematics, or Engineering.
โ€ข Demonstrated ability to perform technical analysis of EO remote sensing data; image processing and digital signal processing experience; image chain analysis
โ€ข Excellent presentation and communication skills; demonstrated ability to clearly explain technical issues to technical and non-technical audiences
โ€ข Demonstrated ability and success working independently and in team environments
โ€ข Customer focused and capable of representing the customer in user outreach, familiarity activities and community forums
โ€ข Experience developing/modifying engineering code in at least one of Python, MATLAB, ENVI/IDL or similar to solve hard problems and create processes for repeatable results
Desired:
โ€ข Bachelor's degree in Image Science, Optics, Applied Physics, Mathematics, or Engineering with 7 or more years of relevant experience, or master's degree with comparable experience
โ€ข Project management or leadership experience
โ€ข Experience with one or more of PAN, IR, MSI, HSI, LIDAR, or RADAR systems and analysis
โ€ข Experience developing/modifying engineering code in multiple of Python, MATLAB, ENVI/IDL or similar to solve hard problems and create processes for repeatable results
EEO Statement
We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.