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Neural Engineering Jobs in Michigan (NOW HIRING)

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI · On-site

$102K - $140K/yr

... neural architectures for automated mapping. Responsibilities : • Implement and optimize ... S. or Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related field ...

Astemo

ADAS Engineer

Farmington Hills, MI

Engineering Position Overview and Objective Astemo's Advanced Development Division is hiring a ... Solid understanding of deep learning fundamentals and the numerical behavior of neural networks.

Astemo Ltd

ADAS Engineer

Farmington Hills, MI · On-site

Engineering Position Overview and Objective Astemo's Advanced Development Division is hiring a ... Solid understanding of deep learning fundamentals and the numerical behavior of neural networks.

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How much do neural engineering jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for neural engineering in Michigan is $16.83, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.22 per hour, depending on experience, location, and employer.

What is neural engineering?

Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.

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

To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.

What Are Jobs in Neural Engineering?

Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.

What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?

Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.
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What cities in Michigan are hiring for Neural Engineering jobs? Cities in Michigan with the most Neural Engineering job openings:
Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Michigan as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $35,016 per year, or $16.8 per hour.
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.

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