1

Phd Signal Processing Jobs in Massachusetts (NOW HIRING)

We are seeking Sensor Signal Processing Engineers to concept, develop, and deliver prototype ... PhD degree preferred. Experience 0-3 years experience in Physics Engineering or related. Additional ...

We are seeking Sensor Signal Processing Engineers to concept, develop, and deliver prototype ... PhD degree preferred. Experience 0-3 years experience in Physics Engineering or related. Additional ...

We are seeking Sensor Signal Processing Engineers to concept, develop, and deliver prototype ... PhD degree preferred. Experience 0-3 years experience in Physics Engineering or related. Additional ...

As a Lead Signal Processing Researcher, you will create and lead technical teams that develop, test ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

As a Principal Signal Processing Researcher, you will create and lead technical teams that develop ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

As a Lead Signal Processing Researcher, you will create and lead technical teams that develop, test ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

As a Lead Signal Processing Researcher, you will create and lead technical teams that develop, test ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

next page

Showing results 1-20

Phd Signal Processing information

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data science, or certain executive roles can earn $500,000 or more annually. These positions often require advanced skills, leadership responsibilities, and work in high-demand industries or companies with competitive compensation packages.

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 can I do with a PhD in radiology?

A PhD in radiology prepares individuals for research, development, and academic roles focused on medical imaging technologies such as MRI, CT, and ultrasound. Graduates often work in universities, research institutions, or industry settings, utilizing skills in signal processing, image analysis, and data interpretation to advance diagnostic methods and imaging software. Additional certifications or collaborations with clinical professionals may be required for clinical applications.

Is signal processing in demand?

Signal processing is in high demand across industries such as telecommunications, aerospace, healthcare, and defense, where expertise in algorithms, data analysis, and software tools like MATLAB or Python is valued. Professionals with a PhD in signal processing are often sought for research, development, and advanced system design roles, especially in areas like sensor data analysis and machine learning integration.

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.

Will DSP be replaced by AI?

Digital Signal Processing (DSP) is a fundamental skill for signal processing professionals, including those with a PhD in the field. While AI and machine learning techniques are increasingly integrated into signal analysis, they complement rather than replace traditional DSP methods, which remain essential for real-time processing and system design. Signal processing roles often require expertise in both DSP algorithms and AI tools to develop advanced solutions.
What job categories do people searching Phd Signal Processing jobs in Massachusetts look for? The top searched job categories for Phd Signal Processing jobs in Massachusetts are:
What cities in Massachusetts are hiring for Phd Signal Processing jobs? Cities in Massachusetts with the most Phd Signal Processing job openings:
Infographic showing various Phd Signal Processing job openings in Massachusetts as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Advanced Signal Processing and Estimation

MIT Lincoln Laboratory

Lexington, MA

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago


Job description

The Advanced Undersea Systems and Technology Group develops innovative technology for U.S. undersea and counter-undersea systems. Our focus areas include acoustic and non-acoustic sensing, advanced signal processing, artificial intelligence and machine learning, autonomous systems, and systems analysis. Our technology is hosted on manned and unmanned undersea, surface, and air vehicles as well as fixed sensors. Our technical staff members hold advanced degrees in electrical engineering, physics, applied mathematics, ocean engineering, and computer science. The group engages in all phases of technology development from performance assessment to prototyping and testing for a variety of Department of Defense users, sponsors, and industry. In addition, our group provides our collaboration partners with undersea domain and technology expertise to inform and motivate concept development in areas such as energy systems, communications, and sensing. As part of MIT, our group collaborates closely with academic partners and publishes research in top-tier venues.

Job Description

If you are passionate about developing cutting-edge algorithms for challenging maritime applications, then consider joining the Advanced Undersea Systems and Technology group at Lincoln Laboratory!

Our diverse team of engineers and scientists develop and demonstrate advanced signal, image, and array processing algorithms for existing and prototype acoustic, RF, and optical sensors. As part of our team, you will have an opportunity to work on a variety of exciting tasks, including:

  • Engaging in the full application-development cycle, ranging from initial white-board brainstorming and concept development to the transitioning of mature capabilities
  • Participating in at-sea sensor test and validation activities
  • Developing theoretical models of physical phenomena, creating laboratory-grade simulations, and refining accuracy with real-world experimental results

We are looking for creative people with a desire for continuous learning to work in an inclusive environment consisting of small teams of hardworking engineers with a common goal of solving difficult problems critical for scientific and national defense applications.

Requirements:
  • PhD in electrical engineering, applied mathematics, mechanical engineering, physics, computer science or related technical field. In lieu of a PhD, applicants with an MS and 3 to 5 years of experience will also be considered.
  • Ability to clearly communicate with diverse audiences
  • Proficiency in a scientific programming language (e.g. MATLAB or Python)
Preferred Skills:
  • Experience in digital signal processing, estimation, and tracking algorithm development
    • Plus: experience with array signal processing
    • Plus: experience with adaptive signal processing
  • Experience analyzing or processing multi-element arrays, especially acoustic or RF sensing data
    • Plus: experience processing data sets in high performance computing environments
  • Experience with design trades relevant to multi-channel RF systems
  • Field test experience

Recent Graduate Hiring Range: $145,200-$170,000

Experienced Hiring Range: $145,200-$220,000

 

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

 

Requisition ID: 42904Â