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Phd Signal Processing Jobs in Texas (NOW HIRING)

MS and/or PhD in Electrical and Computer Engineering (or equivalent experience) with minimum 2 ... Scripting skills for data post-processing, tool development and/or process automation Ways to stand ...

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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 Texas look for? The top searched job categories for Phd Signal Processing jobs in Texas are:
What cities in Texas are hiring for Phd Signal Processing jobs? Cities in Texas with the most Phd Signal Processing job openings:
LEAD ENGINEER - SR. RESEARCH ENGINEER - Signal Processing Engineer

LEAD ENGINEER - SR. RESEARCH ENGINEER - Signal Processing Engineer

Southwest Research Institute - Fulltime

San Antonio, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Southwest Research Institute rating

8.8

Company rating: 8.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

6th of 57 rated research


Job description

Who We Are: Ongoing threats to national security require timely intelligence data, including signal intelligence obtained through electronic surveillance. Since the 1940s, SwRI has supported U.S. and friendly foreign governments, as well as commercial clients.

While a non-profit research institution, SwRI develops state of the art solutions to real problems. Objectives of this Role: Work with multidisciplinary team of engineers, software developers, and technicians in the execution of R&D, design, and testing systems and software in support of national security. Design, develop, integrate, test and deploy new signal processing capabilities in the areas of energy detection, channelization, signal recognition, signal demodulation/decoding & encoding/modulating, RF geolocation and electronic warfare.

Simulate and develop radar signal processing algorithms for blind radar detection and parameterization in a complex propagation and environment (HF ionospheric propagation channels). Simulate HF propagation using advanced tools for predicting signal effects due to multi-path and scattering to evaluate algorithm performance with realistic data. Daily and Monthly Responsibilities: Collaborate with client technical representatives and SwRI senior engineering and software staff to develop algorithms and write software and scripts for signal processing applications and to test software and related systems.

Work at SwRI laboratories and support short-term travel to government facilities/military bases or other customer facilities for system installations and to provide technical support within and outside the United States. Present progress and findings to your project teams and clients. Prepare technical documents and support proposal preparation as required.

Requirements: Requires a Masters or a PhD in Electrical Engineering, Electrical and Computer Engineering or Computer Engineering. 3-7 years: Applicants with PhD qualify with 3 years and those with a Masters qualify with 7 years work experience in signal processing with understanding of radar system concepts and waveforms. Experience with C/C++ and Python are required.

Over-the-horizon radar (OTHR) or ionospheric sounder processing experience desired. Communications signal processing desired. Linux and MATLAB proficiency are desired.

Coursework and/or research experience with application of machine learning to signal processing is strongly desired. A valid/clear driver's license is required.


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