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Neural Engineer Jobs in Detroit, MI (NOW HIRING)

Research Engineer / Scientist Position Description: Prognostics Research Engineer: Own the process ... Neural Networks, causal inference, Gaussian regression, etc. 3+ Experience with Python (and related ...

Research Engineer / ScientistPosition Description:Prognostics Research Engineer: Own the process ... Neural Networks, causal inference, Gaussian regression, etc. 3+ Experience with Python (and related ...

Research Engineer / Scientist Position Description: Prognostics Research Engineer: Own the process ... Neural Networks, causal inference, Gaussian regression, etc. 3+ Experience with Python (and related ...

Job Summary We are seeking a highly motivated Scientist / Research Engineer to develop and deploy ... Experience with machine learning techniques such as PCA, ANOVA, Clustering, Neural Networks, Time ...

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.

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.

You will be the architect of the data's journey-from the vehicle's silicon to the cloud's neural ... Systems Engineering Rigor: Experience authoring 5+ pieces of critical production documentation ...

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Neural Engineer information

See Detroit, MI salary details

$54.4K

$102.1K

$185.7K

How much do neural engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for neural engineer in Detroit, MI is $102,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $121,200.00 per year, depending on experience, location, and employer.

What jobs can you do with neural engineering?

Neural engineers can work in research and development roles focused on brain-computer interfaces, neural prosthetics, and neurotechnology devices. They often find employment in healthcare, biotech, and academic settings, applying skills in signal processing, neuroscience, and engineering design to develop innovative solutions for neurological disorders and cognitive enhancement.

What types of projects and collaborations can a neural engineer expect to be involved in?

As a Neural Engineer, you may work on projects ranging from designing brain-computer interfaces and neural prosthetics to analyzing complex neural signals for clinical or research applications. Collaboration with neuroscientists, clinicians, software developers, and hardware engineers is common, ensuring a multidisciplinary approach to solving neurological challenges. Your daily responsibilities might include data analysis, prototyping, testing devices, and presenting findings to your team. This role offers opportunities to influence cutting-edge research and directly contribute to advancements in healthcare and neurotechnology.

How much do neural engineers make?

Neural engineers typically earn a median annual salary of around $90,000 to $120,000, depending on experience, education, and location. Advanced skills in neuroscience, biomedical engineering, and programming can lead to higher compensation, especially in research or industry roles.

What does a neural engineer do?

A Neural Engineer applies principles from neuroscience, engineering, and computer science to develop technologies that interface with the nervous system. This includes designing brain-computer interfaces, neuroprosthetics, and medical devices for treating neurological disorders. They work with signal processing, machine learning, and biomedical hardware to understand and manipulate neural activity. Their work has applications in healthcare, rehabilitation, and human augmentation.

What are the key skills and qualifications needed to thrive as a neural engineer?

To thrive as a Neural Engineer, you need a strong background in biomedical engineering, neuroscience, and signal processing, often supported by an advanced degree in a related field. Proficiency with tools like MATLAB, Python, neural data acquisition systems, and familiarity with medical device regulations or certifications are commonly required. Problem-solving abilities, interdisciplinary teamwork, and effective communication set standout candidates apart. These skills and qualities are crucial for innovating and safely developing neural devices and technologies that bridge engineering and neuroscience.

What are popular job titles related to Neural Engineer jobs in Detroit, MI? For Neural Engineer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Neural Engineer jobs in Detroit, MI look for? The top searched job categories for Neural Engineer jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Neural Engineer jobs? Cities near Detroit, MI with the most Neural Engineer job openings:
Infographic showing various Neural Engineer job openings in Detroit, MI as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $110,511 per year, or $53.1 per hour.

Postdoctoral Fellow in Neural Engineering and Prosthetic Control

University of Michigan

Ann Arbor, MI • On-site

$47K - $65K/yr

Full-time

Posted 25 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

160th of 617 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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