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Neural Signal Processing Jobs in Michigan (NOW HIRING)

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Stay ahead of industry advancements in machine learning, AI sensing, and signal processing ... White-box understanding of classical ML algorithms (SVMs, HMMs, Decision Trees) and modern neural ...

Data Integrity: 1+ years of experience processing and cleaning datasets exceeding 10,000+ records ... Engineer AI-powered diagnostic capabilities that combine vehicle signals (DTCs, PIDs, Ethernet logs ...

Neural Signal Processing information

What is the difference between Neural Signal Processing vs Neural Data Analyst?

AspectNeural Signal ProcessingNeural Data Analyst
Required CredentialsBackground in neuroscience, signal processing, programming (Python, MATLAB)Statistics, data analysis, programming (Python, R)
Work EnvironmentResearch labs, healthcare, neurotechnology companiesData-focused roles in research institutions, healthcare, biotech
Industry UsageDesigning algorithms for neural signals, signal decodingAnalyzing neural data sets, interpreting results

Neural Signal Processing involves developing algorithms to analyze and interpret neural signals, often requiring expertise in signal processing and neuroscience. Neural Data Analysts focus on examining neural data sets to extract insights, emphasizing statistical analysis and data interpretation. While both roles work with neural data, Neural Signal Processing is more technical and algorithm-driven, whereas Neural Data Analysts focus on data interpretation and reporting.

What are some common challenges faced by professionals in neural signal processing roles, and how can they be addressed?

Professionals in neural signal processing often face challenges such as managing noisy or artifact-laden data, ensuring real-time processing capabilities, and integrating signals from multiple modalities (e.g., EEG, fMRI). Addressing these challenges typically involves staying updated on advanced filtering techniques, collaborating closely with neuroscientists and engineers, and leveraging robust software tools for data analysis. Continuous learning and teamwork are essential, as projects often require interdisciplinary cooperation and adaptation to evolving research protocols.

What are the key skills and qualifications needed to thrive as a Neural Signal Processing specialist, and why are they important?

To thrive in Neural Signal Processing, you need a solid background in neuroscience, signal processing, and programming, often supported by an advanced degree in biomedical engineering, neuroscience, or related fields. Familiarity with tools like MATLAB, Python, EEG/MEG analysis software, and machine learning frameworks is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, advancement of brain-computer interfaces, and successful contributions to neuroscience research.

What is neural signal processing?

Neural signal processing is the analysis and interpretation of electrical signals generated by neurons in the brain or nervous system. This field combines neuroscience, engineering, and computer science to develop methods and algorithms that can decode, filter, and make sense of complex neural data. Applications include brain-computer interfaces, medical diagnostics, and research into how the brain functions. Neural signal processing is critical for advancing our understanding of neural circuits and developing new treatments for neurological disorders.
What job categories do people searching Neural Signal Processing jobs in Michigan look for? The top searched job categories for Neural Signal Processing jobs in Michigan are:
What cities in Michigan are hiring for Neural Signal Processing jobs? Cities in Michigan with the most Neural Signal Processing job openings:
Infographic showing various Neural Signal Processing job openings in Michigan as of June 2026, with employment types broken down into 43% Full Time, 48% Part Time, 3% Temporary, 3% Contract, and 3% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.
Postdoctoral Fellow in Neural Engineering and Prosthetic Control

Postdoctoral Fellow in Neural Engineering and Prosthetic Control

University of Michigan

Ann Arbor, MI • On-site

$47K - $65K/yr

Full-time

Posted 9 days ago


University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

152nd of 611 rated colleges and universities


Job description

How to Apply
Your application should include:
  1. A cover letter stating your personal research interests and goals
  2. A complete CV with list of publications
  3. Names and contact information of three references

Applications must be submitted directly through the UM Careers website to be considered for this position. Any applications submitted via email will not be reviewed or considered.
Review of applications will begin immediately and continue until the position is filled. For questions about the position, please contact: Theodore Kung, MD., Clinical Associate Professor, Plastic Surgery at [email protected] or Deanna Gates, Ph.D., Professor, Kinesiology, Biomedical Engineering and Robotics, at [email protected] .
Job Summary
The Section of Plastic Surgery at the University of Michigan is looking for a talented and highly motivated applicant for a Postdoctoral Research Fellow position supporting two clinical trials investigating the use of Regenerative Peripheral Nerve Interfaces (RPNIs) for prosthetic limb control. The two studies are funded through the Department of Defense and National Institutes of Health under the direction of Dr. Theodore Kung (Plastic Surgery) and Dr. Deanna Gates (Movement Science, Biomedical Engineering and Robotics). The position will be physically located in Ann Arbor, MI.
The RPNI is a surgically created construct in which a free muscle graft is reinnervated by a severed peripheral nerve. When implanted electrodes are placed within RPNIs, they provide high-fidelity, stable electromyographic (EMG) signals for volitional prosthetic control and a serve as a means for delivering sensory feedback via electrical stimulation. The overall goal of this research program is to assess whether RPNIs can enable individuals with lower and upper limb amputation to achieve meaningful, multi-degree-of-freedom prosthetic control, restore sensory feedback, and improve function in daily life.
Responsibilities*
The postdoctoral fellow will work at the intersection of implanted neural interfaces, electrical stimulation systems, and clinical biomechanics. Key responsibilities will include:
  • Supporting hardware and electrode interfacing for data acquisition systems
  • Coordinating and conducting experimental sessions with research participants who have undergone RPNI surgery
  • Contributing to data collection using motion capture, force plates, and intramuscular and surface EMG

The postdoctoral fellow will also gain experience in student mentoring, managing clinical research projects, manuscript writing, and grant submissions.
Required Qualifications*
The ideal candidate will have:
  • Ph.D. in Electrical Engineering, Biomedical Engineering, or a closely related field.
  • Experience with neural or neuromuscular signal acquisition hardware (e.g., implanted or surface electrode systems, neural recording front-ends)
  • Ability to bridge technical and clinical domains communicating effectively with both engineering collaborators and clinical research staff
  • Comfort working in a regulated clinical research environment with human participants
  • A proven track record of high-quality publications
  • Excellent analytical and problem-solving skills
  • Ability to thrive in both team and independent work environments
  • Strong organizational and communication skills

Desired Qualifications*
  • Experience with human-subjects research protocols, IRB processes, or Good Clinical Practice (GCP) guidelines
  • Prior involvement in translational research aimed at moving technologies from laboratory development to clinical application
  • Experience working on interdisciplinary research teams involving engineers, neuroscientists, and clinicians
  • Interest in establishing collaborations across engineering, neuroscience, and clinical disciplines

Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes .
Work Schedule
  • Full-time (40 hours/week)
  • The position will primarily be based in Dr. Gates' laboratory at the School of Kinesiology at the University of Michigan
  • Occasionally, the fellow will travel to University Hospital and the Taubman Health Care Center to work directly with Dr. Kung
  • Period of remote work may be approved by Dr. Kung

U-M EEO Statement
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.
Job Detail
Job Opening ID
280251
Working Title
Postdoctoral Fellow in Neural Engineering and Prosthetic Control
Job Title
RESEARCH FELLOW
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Onsite
Full/Part Time
Full-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
Medical School
Department
MM Plastic Surgery Section
Posting Begin/End Date
7/17/2026 - 9/19/2026
Career Interest
Research Fellows

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About University of Michigan

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

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