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Biomedical Signal Processing Postdoctoral Jobs (NOW HIRING)

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC · On-site

D. in cognitive neuroscience, neuroscience, biomedical engineering, computer science, or a related ... physiological signal processing is preferred but not required. Duke is an Equal Opportunity ...

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC

D. in cognitive neuroscience, neuroscience, biomedical engineering, computer science, or a related ... physiological signal processing is preferred but not required. Duke is an Equal Opportunity ...

The Pennsylvania State University

$48K - $65K/yr

This is a term position; length of the term will be discussed during the interview process ... Biomedical Engineering Department is seeking to hire two Postdoctoral Scholars to conduct ...

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

As of Jun 4, 2026, the average yearly pay for biomedical signal processing postdoctoral in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Biomedical Signal Processing Postdoctoral researcher, and why are they important?

To thrive as a Biomedical Signal Processing Postdoctoral researcher, you need a Ph.D. in biomedical engineering, electrical engineering, or a related field, with strong expertise in signal processing and data analysis. Proficiency in programming languages such as MATLAB or Python and experience with specialized software like LabVIEW or EEGLAB are typically required. Excellent problem-solving skills, teamwork, and effective communication set top candidates apart in collaborative research environments. These skills and qualifications are essential for advancing innovative research, efficiently analyzing complex biomedical data, and contributing to multidisciplinary teams.

What are some common interdisciplinary collaborations for a Biomedical Signal Processing Postdoctoral researcher?

Biomedical Signal Processing Postdoctoral researchers frequently collaborate with clinicians, biomedical engineers, computer scientists, and statisticians. These partnerships are essential for acquiring high-quality physiological data, interpreting clinical requirements, and developing robust signal analysis algorithms. Working in multidisciplinary teams helps ensure research outcomes are both scientifically rigorous and clinically applicable, providing valuable experience in translating technical solutions to real-world healthcare problems.

What is a Biomedical Signal Processing Postdoctoral researcher?

A Biomedical Signal Processing Postdoctoral researcher is a scientist who has completed their Ph.D. and conducts advanced research in analyzing biological signals, such as EEG, ECG, or MRI data, often using computational and statistical methods. Their work typically involves developing new algorithms and tools to process, interpret, and extract meaningful information from complex biomedical data. These researchers often collaborate with clinicians and engineers to improve medical diagnostics, monitoring, and treatment. Their role is crucial in advancing healthcare technologies and understanding physiological processes.

What is the difference between Biomedical Signal Processing Postdoctoral vs Biomedical Data Analyst?

AspectBiomedical Signal Processing PostdoctoralBiomedical Data Analyst
Required CredentialsPhD in Biomedical Engineering, Signal Processing, or related fieldBachelor's or Master's in Data Science, Bioinformatics, or related field; sometimes PhD
Work EnvironmentResearch labs, universities, academic institutionsHospitals, healthcare companies, research organizations
Employer & Industry UsageAcademic research, grants, university projectsHealthcare analytics, biotech firms, clinical data analysis

The Biomedical Signal Processing Postdoctoral role focuses on advanced research in signal analysis, often within academic settings, requiring a PhD. In contrast, a Biomedical Data Analyst applies data analysis skills to healthcare data in industry environments, often with a bachelor's or master's degree. Both roles involve working with biomedical data but differ in their focus, environment, and credential requirements.

AI / Machine Learning Engineer Sr Staff (Signal Processing)

AI / Machine Learning Engineer Sr Staff (Signal Processing)

Lockheed Martin Corporation

Fort Worth, TX • On-site, Remote

Other

Posted 8 days ago

Lockheed Martin rating

8.1

Company rating: 8.1 out of 10

Based on 377 frontline employees who took The Breakroom Quiz

34th of 59 rated aerospace companies

Job description

We are seeking a highly motivated and experienced Artificial Intelligence Engineer to join our Lockheed Martin Artificial Intelligence Center (LAIC) team. As a key member of our Applied AI team, you will play a critical role in developing technologies and products that leverage Artificial Intelligence to provide discriminating signal processing capabilities to our customers. You will work on a broad range of projects across the LAIC, from low Technical Readiness Level research to deployment and will be responsible for leading critical technical projects.
Key Responsibilities:
Develop and Apply AI Technologies
Develop and apply current AI paradigms, including computer vision, deep learning, and reinforcement learning, to solve complex signal processing problems and field innovative solutions.
Engage in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test.
Take ownership of critical tasks and lead technical teams to deliver high-quality solutions.
Participate in the development of proposals and whitepapers to secure funding for AI research and development projects
Technical Leadership and Mentorship:
Assume technical lead responsibilities and mentor junior engineers to help them develop their skills and expertise.
Provide guidance and support to team members to ensure successful project execution.
Collaboration and Communication:
Work collaboratively with cross-functional teams to develop and deploy AI solutions.
Communicate complex technical concepts and solutions to non-technical stakeholders.
Engage with other Lockheed Martin teams to identify opportunities for AI adoption and application.
Technical Skills:
Strong background in software engineering, artificial intelligence, and machine learning.
Strong background in signal processing theory and application (radar, communication, electronic warfare, sonar, audio, or biomedical)
Experience with current AI paradigms, including computer vision, deep learning, and reinforcement learning.
Proficiency in programming languages such as Python, Java, or C++.
Soft Skills:
Self-motivation, strong work ethic, and time management skills.
Excellent interpersonal and communication skills.
Engage with other Lockheed Martin teams to identify opportunities for AI adoption and application
Education and Experience:
Bachelor's degree in a relevant field, such as computer science, electrical engineering, or mathematics.
8+ years of experience in AI or a related field.
What We Offer:
Opportunity to Work on High-Impact Projects:
Work on a broad range of projects across the LAIC, from low TRL research to deployment.
Develop and apply AI technologies to solve complex problems and field innovative solutions.
Collaborative and Dynamic Work Environment:
Work collaboratively with cross-functional teams to develop and deploy AI solutions.
Participate in a fast-paced and dynamic work environment with a focus on innovation and experimentation.
Professional Development and Growth Opportunities:
Opportunities for professional growth and development in AI and related fields.
Mentorship and guidance from experienced engineers and leaders.
The preferred work locations for this position are Lockheed Martin facilities in Fort Worth, TX, or Palmdale, CA. Remote work arrangements may also be considered for qualified candidates.
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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912

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