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Phd Signal Processing Jobs in Colorado (NOW HIRING)

Software Engineer

Englewood, CO · On-site

$85K - $152K/yr

Come join the team that is creating cutting edge signal processing and geolocation systems for the ... Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science * Proficient in ...

MS or PhD in Electrical Engineering, Physics, Applied Mathematics, or similar * 2+ years of experience in radar theory and digital signal processing * Experience developing and validating calibration ...

Radar Scientist

Golden, CO · On-site

$115K - $135K/yr

MS or PhD in Electrical Engineering, Physics, Applied Mathematics, or similar * 2+ years of experience in radar theory and digital signal processing * Experience developing and validating calibration ...

Database/Web Engineer

Englewood, CO · On-site

$85K - $113K/yr

Come join the team that is creating cutting edge signal processing, geolocation, and communication ... Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science * Proficient in ...

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FPGA - DSP Engineer

Golden, CO · On-site

$120K - $170K/yr

This role sits at the intersection of digital signal processing, embedded hardware design, control ... Required Qualifications · BS, MS, or PhD in Electrical Engineering, Physics, Applied Physics ...

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FPGA - DSP Engineer

Golden, CO · On-site

$120K - $170K/yr

This role sits at the intersection of digital signal processing, embedded hardware design, control ... Required Qualifications · BS, MS, or PhD in Electrical Engineering, Physics, Applied Physics ...

Be Seen First

FPGA - DSP Engineer

Golden, CO · On-site

$120K - $170K/yr

This role sits at the intersection of digital signal processing, embedded hardware design, control ... Required Qualifications · BS, MS, or PhD in Electrical Engineering, Physics, Applied Physics ...

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Showing results 1-20

Phd Signal Processing information

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 are popular job titles related to Phd Signal Processing jobs in Colorado? For Phd Signal Processing jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Phd Signal Processing jobs? Cities in Colorado with the most Phd Signal Processing job openings:
Software Engineer

Software Engineer

Rincon Research Corp

Englewood, CO • On-site

$85K - $152K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 29 days ago


Job description

Why Join Rincon Research Corporation (RRC)?

At Rincon Research Corporation, our primary business is innovating, developing, and fielding digital signal processing (DSP) products and services for the United States Defense and Intelligence Communities in support of national security.

Rincon Research Corporation seeks a Software Engineer to create cutting edge software and cloud computing solutions to challenging national security and defense signal processing, geolocation, and communication problems. You will work in a multi-disciplinary R&D environment with similarly skilled and motivated electrical engineers, mathematicians, and computer scientists/engineers in a highly rewarding personal and professional environment.

Come join the team that is creating cutting edge signal processing and geolocation systems for the future!

What are the primary responsibilities in the Software Engineer position?

Core responsibilities include designing real-time cloud processing solutions, implementing advanced signal processing and geolocation algorithms with efficient software, testing with real data, and providing applications to front-line customer facilities. You create effective user interfaces and data visualization tools. A key responsibility is staying up-to-date with the latest technologies, tools, and methodologies and experimenting with new technologies to incorporate innovative solutions into RRC projects. RRC personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M, and experience the direct mission feedback from the customer and seeing your project provide real-world contributions that make a significant difference. You’re encouraged and expected to propose things that you believe will improve the applications and frameworks you’re working in. The ability to work unsupervised with minimal direction and the ability to self-start is a must.

What required background will make you successful?

  • Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science
  • Proficient in modern software engineering practices for testability and readability
  • Proficient in C++ and Python in LINUX environments
  • Demonstrated ability to design software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements
  • Ability to obtain and maintain TS/SCI security clearance
  • US CITIZENSHIP REQUIRED

Preferred skills:

  • DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP)
  • Agile development processes
  • Current TS/SCI clearance

Where is the position located?

This position can be located in our Centennial, CO; Chantilly, VA offices or at our Tucson, AZ Headquarters. Remote work/telework is not available for this position.

What benefits does RRC offer?

  • 100% employer-paid premiums for family medical and dental insurance, employee life insurance, short-term and long-term disability (STD & LTD)
  • Flexible reimbursement spending accounts for medical expense and dependent care
  • Immediate participation and vesting in the company’s Employee Stock Ownership Plan (ESOP) and 401(k) Plan
  • Employer contributions to RRC’s ESOP
  • Employer matching contributions to the company’s 401( k) Plan
  • Employer discretionary contributions to the company’s 401(k) Plan

Rincon Research Corporation is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.