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Remote Signal Processing Postdoctoral Jobs in Boston, MA

STR

Senior Scientist - Radar Signal Processing

Woburn, MA · On-site +1

$139K - $170K/yr

A successful candidate will have working knowledge in one or more of the following areas: advanced signal processing, radar systems, RF remote sensing, or resource management; or a strong background ...

NorthEastern

Postdoctoral Research Associate

Boston, MA · Remote

$60K - $85K/yr

... the research process, including: * Analyzing rich datasets for publications * Developing and ... This position is fully remote - no on-campus presence is required. Position Type Research ...

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Remote Signal Processing Postdoctoral information

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$27.2K

$64.1K

$90.7K

How much do remote signal processing postdoctoral jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote signal processing postdoctoral in Boston, MA is $64,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,200.00 and $72,200.00 per year, depending on experience, location, and employer.

What is a remote signal processing postdoctoral?

A Remote Signal Processing Postdoctoral researcher is a scientist who has recently completed their Ph.D. and conducts advanced research in signal processing—analyzing and interpreting signals such as audio, images, or sensor data—while working remotely. This position typically involves developing new algorithms, analyzing data, and publishing results in scientific journals. The 'remote' aspect means that the researcher can work from anywhere, collaborating with teams and contributing to projects online. These roles are common in fields like telecommunications, biomedical engineering, and geosciences.

What are the key skills and qualifications needed to thrive as a remote signal processing postdoctoral?

To thrive as a Remote Signal Processing Postdoctoral Researcher, you need a Ph.D. in electrical engineering, computer science, or a related field, with expertise in signal processing theory and algorithms. Experience with programming languages such as Python or MATLAB, and familiarity with simulation tools or machine learning frameworks, is typically required. Strong analytical thinking, independent research skills, and effective written and verbal communication set outstanding candidates apart. These skills are crucial for advancing research, publishing results, and collaborating remotely with interdisciplinary teams.

What are some common challenges faced by remote signal processing postdoctorals, and how can these be effectively managed?

Remote signal processing postdocs often encounter challenges such as limited access to specialized lab equipment, potential communication barriers with collaborators, and the need for strong self-motivation and time management. To address these, many researchers leverage cloud-based computing resources, regularly schedule virtual meetings, and participate in collaborative online platforms to stay connected with their teams. Setting clear research goals and maintaining open communication with supervisors can also help ensure ongoing progress and support while working remotely.

What are the most commonly searched types of Signal Processing Postdoctoral jobs in Boston, MA?

The most popular types of Signal Processing Postdoctoral jobs in Boston, MA are:

What are popular job titles related to Remote Signal Processing Postdoctoral jobs in Boston, MA?

For Remote Signal Processing Postdoctoral jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Signal Processing Postdoctoral jobs in Boston, MA look for?

The top searched job categories for Remote Signal Processing Postdoctoral jobs in Boston, MA are:

Remote Signal Processing Postdoctoral jobs near you

Senior Scientist - Radar Signal Processing

STR

Woburn, MA • On-site, Remote

$139K - $170K/yr

Full-time

Posted 4 days ago

Job description

About the Team 

The Maritime Domain Applications (MDA) Group is seeking a Radar Signal Processing Engineer to develop advanced sensing concepts utilizing adaptive radar signal processing, resource management, and advanced radar algorithm development, as well as executing advanced sensor concept demonstrations. 

The Role: 

A successful candidate will have working knowledge in one or more of the following areas: advanced signal processing, radar systems, RF remote sensing, or resource management; or a strong background in a foundational field for these areas (i.e. - mathematics, physics, etc.). Additional desired skillsets would be the application of AI/ML principals into advanced signal processing algorithms. This position requires skills working as part of multi-disciplinary teams designing and analyzing signal processing algorithms for complex systems. Strong technical, interpersonal, communication, and technical leadership skills are desired. 

What you will do: 

  • Develop system concepts and signal processing algorithms for remote sensing
  • Work as part of a small, focused team to architect, develop, implement, and test RF signal processing systems
  • Modeling and Simulation of advanced RF systems, new sensing paradigms, and multi-function RF concepts 

Who you are: 

  • Active Secret security clearance, for which U.S. citizenship is needed by the U.S. Government
  • BS with 5+ years of experience, MS with 3+ years of experience, or PhD in Electrical Engineering, Mathematics, Physics, or related field
  • Proficiency in MATLAB and/or Python as well as other higher-level languages
  • Strong Mathematical, troubleshooting, written, and verbal communication skills 

Even Better: 

  • Active Top Secret (TS) clearance
  • Advanced degree in Electrical Engineering, Mathematics, Physics, or a related field
  • Experience with advanced RF system concepts, multi-dimensional signal processing, waveform design, system optimization, or multi-function phased array apertures
  • Experience with algorithm optimization for real time systems, especially radar or remote sensing 

Pay Information
Full-Time Salary Range: $139,000 - $170,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

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