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Freelance Signal Processing Research Scientist Jobs

ARL's purpose is to research and develop innovative solutions to challenging scientific ... SADM tackles multidisciplinary topics from signal processing to machine learning to software design ...

$121K - $231K/yr

POSITION SPECIFICS We are searching for a motivated and talented Signal Processing Research and Development Engineer to join the Acoustic Data Science Department at the Applied Research Laboratory ...

Bachelor's Degree - Engineering or Science 5+ years of relevant experience Required Certifications: None If filled as Research and Development Engineer - Signal Processing (ARL) - Intermediate ...

Bachelor's Degree - Engineering or Science 19+ years of relevant experience Required Certifications: None If filled as Research and Development Engineer - Signal Processing (ARL) - Senior ...

Our main customer focus is on Department of War and Intelligence Community research and development ... Document and present products to a community of scientists and subject matter experts Who You Are:

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Freelance Signal Processing Research Scientist information

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$50.5K

$130.1K

$174K

How much do freelance signal processing research scientist jobs pay per year?

As of Jul 17, 2026, the average yearly pay for freelance signal processing research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by freelance signal processing research scientists in managing multiple projects?

Freelance signal processing research scientists often juggle several projects with varying scopes, timelines, and client expectations. One common challenge is balancing deep technical work—such as algorithm development or data analysis—with project management tasks like client communication and documentation. Time management and prioritization are crucial, as project deadlines may overlap. Additionally, freelancers need to stay updated on the latest research and tools to remain competitive, which requires ongoing self-directed learning. Building a strong professional network can also help in finding collaborative opportunities and tackling complex problems.

What is the difference between Freelance Signal Processing Research Scientist vs Signal Processing Engineer?

AspectFreelance Signal Processing Research ScientistSignal Processing Engineer
CredentialsAdvanced degrees (Master's/PhD), specialized research experienceBachelor's or Master's in Electrical Engineering, Computer Science, or related fields
Work EnvironmentIndependent, project-based, often remoteCorporate or industrial settings, team-based
Industry UsageResearch institutions, consulting, academiaTech companies, telecommunications, audio/video industries
Search/Comparison IntentUnderstanding freelance research roles vs engineering rolesClarifying differences between research and engineering positions

Freelance Signal Processing Research Scientists focus on advanced research, often working independently on innovative projects, typically requiring higher academic credentials. Signal Processing Engineers usually work within companies on product development, applying practical engineering skills. The roles differ mainly in scope, environment, and application, though both require expertise in signal processing concepts.

What are the key skills and qualifications needed to thrive as a Freelance Signal Processing Research Scientist, and why are they important?

A Freelance Signal Processing Research Scientist requires deep expertise in mathematics, signal processing theory, programming (often MATLAB or Python), and typically holds an advanced degree in electrical engineering or a related field. Familiarity with technical tools like MATLAB, Simulink, Python libraries (NumPy, SciPy), and experience with relevant data acquisition or analysis systems is crucial. Strong problem-solving, self-management, and effective communication skills set top freelancers apart, enabling them to deliver results independently and collaborate with clients. These skills ensure accurate research outcomes, efficient project execution, and successful client relationships in a competitive freelance environment.

What does a Freelance Signal Processing Research Scientist do?

A Freelance Signal Processing Research Scientist analyzes, develops, and implements algorithms to process and interpret signals such as audio, video, or sensor data. Working independently or with clients, they apply mathematical and computational techniques to solve problems in fields like telecommunications, medical imaging, and machine learning. Their responsibilities often include conducting research, designing experiments, developing code, and publishing results. As freelancers, they typically manage their own projects, timelines, and client relationships.
What cities are hiring for Freelance Signal Processing Research Scientist jobs? Cities with the most Freelance Signal Processing Research Scientist job openings:
What are the most commonly searched types of Signal Processing Research Scientist jobs? The most popular types of Signal Processing Research Scientist jobs are:
What states have the most Freelance Signal Processing Research Scientist jobs? States with the most job openings for Freelance Signal Processing Research Scientist jobs include:
Principal Research Scientist: Signal Processing

Principal Research Scientist: Signal Processing

Raytheon Technologies

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

Date Posted:

2026-06-17

Country:

United States of America

Location:

US-VA-ARLINGTON-111 ~ 1300 17Th St N ~ BBN ARLINGTON

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Security Clearance Type:

DoD Clearance: Top Secret

Security Clearance Status:

Active and existing security clearance required on day 1

RTX BBN solves challenging problems of high importance to our customers in the Department of Defense, the Intelligence Community and Industry by rapidly prototyping systems for sensing complex physical phenomena, correlating them to events of interest, and producing high-value, actionable information from the sensed data. The team specializes in delivering networked sensor system solutions by combining a strong understanding of the underlying physics, high-fidelity modeling, simulation of complex signatures and propagation phenomenology, deep expertise in signal processing, EM and RF phenomenology, and computer science, proven capabilities in system development, and mature tools to enable rapid design cycles from theory to demonstration. We are currently searching for a highly qualified Signal Processing Research Scientist to join our team in Arlington, VA.

Role Overview:

RTX BBN solves challenging problems of high importance to our customers in the Department of Defense, the Intelligence Community and Industry by rapidly prototyping systems for sensing complex physical phenomena, correlating them to events of interest, and producing high-value, actionable information from the sensed data. The team specializes in delivering networked sensor system solutions by combining a strong understanding of the underlying physics, high-fidelity modeling, simulation of complex signatures and propagation phenomenology, deep expertise in signal processing, EM and RF phenomenology, and computer science, proven capabilities in system development, and mature tools to enable rapid design cycles from theory to demonstration. We are currently searching for a highly qualified Signal Processing Research Scientist to join our team in Arlington, VA.

What You Will Do:

Statistical signal processing:

  • Estimation techniques including Bayesian and non-Bayesian estimators, performance measures such as bias and mean-square error and bounds on estimator performance such as the Cramer-Rao lower bound.
  • Detection techniques including the Neyman-Pearson detection, probabilities of detection and false alarm, receiver operating curves, etc.

Cyclostationary signal processing:

  • CAF, SCF, SOF estimation.
  • Computation of Cyclic Cumulants.
  • Cyclic Feature Detection.

Adaptive signal processing:

  • Temporal and space-time adaptive processing.
  • Interference covariance estimation techniques including both structured and reduced-rank techniques.
  • Wiener filtering and on-line adaptive techniques such as LMS and RLS.
  • Kalman filtering, particle filtering, and multi-hypothesis tracking.
  • Machine learning and optimization for optimal control.

RF propagation and signature modeling:

  • Link budgets, terrestrial and free-space propagation models, multipath, non-stationary propagation environments (Doppler spread), clock stability and phase noise, and target kinematics.
  • Antenna pattern estimation.
  • Estimation of bistatic RCS.

Sensing:

  • Sparse array processing, beamforming, direction finding, filtering and tracking.
  • Range-Doppler radar and synthetic aperture radar (SAR).
  • Signal classification and recognition.

Physical-layer communications:

  • Modulation techniques and tradeoffs, channel estimation and tracking, MIMO communications, equalization, forward error correction and decoding.
  • LPX waveform design.
  • Multi-user detection.


Qualifications You Must Have:

  • M.S. in Electrical Engineering, Mathematics, or Physics plus 5+ years of relevant experience, or Ph.D. plus 3+ years experience.
  • Experience with signal processing, including estimation, detection, etc.
  • Experience with RF modeling and sensing.
  • Active Top Secret government security clearance

Qualifications We Prefer:

  • Position may require some overnight travel.
  • Experience applying advanced methods, theories, and R&D techniques to solve difficult problems.
  • Skillset to tackle research challenges proactively with minimal supervision and periodic check-ins with team leads.
  • Experience leading small teams of technical contributors.
  • Experience documenting plans and scientific findings with opportunities to present to government customers.

Learn More & Apply Now!
Work Location: Onsite- Alrington, VA
Please consider the following role type definition as you apply for this role:

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attendselect steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 118,300 USD - 224,900 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

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