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Neural Interface Research Jobs in Michigan (NOW HIRING)

Neural Interface Research information

What is the difference between Neural Interface Research vs Neural Engineering?

AspectNeural Interface ResearchNeural Engineering
Required CredentialsAdvanced degrees in neuroscience, biomedical engineering, or related fieldsSimilar credentials, often with additional focus on device design and implementation
Work EnvironmentResearch labs, universities, biotech companiesResearch labs, medical device companies, clinical settings
Industry UsageFocuses on developing and understanding neural interfacesDesigning, testing, and applying neural interface devices
Common Search IntentResearch methods, latest advancements, academic rolesProduct development, device engineering, clinical applications

Neural Interface Research primarily involves exploring and understanding neural interfaces through scientific investigation, while Neural Engineering focuses on designing and developing neural interface devices for practical use. Both roles require similar educational backgrounds but differ in their application and work environment.

What are the key skills and qualifications needed to thrive in neural interface research?

To thrive in Neural Interface Research, you need advanced knowledge in neuroscience, biomedical engineering, and signal processing, often supported by a graduate degree in a related field. Proficiency with programming languages (such as Python or MATLAB), neural data acquisition systems, and simulation tools is typically required. Exceptional problem-solving abilities, collaboration, and strong communication skills help researchers innovate and translate findings across multidisciplinary teams. These skills are crucial for developing cutting-edge neural technologies and ensuring rigorous, impactful scientific progress.

What is neural interface research?

Neural interface research is the scientific study and development of technologies that connect the nervous system, particularly the brain, with external devices or computers. These interfaces, often called brain-computer interfaces (BCIs) or neural prosthetics, enable direct communication between neural tissue and electronic systems. The goal of this research is to restore lost sensory or motor functions, treat neurological disorders, or enhance human capabilities. Neural interface research is highly interdisciplinary, involving neuroscience, engineering, computer science, and medicine. Advances in this field have the potential to revolutionize healthcare and human-machine interaction.

What are some common interdisciplinary challenges faced by professionals in neural interface research teams?

Neural Interface Research teams often bring together experts from neuroscience, engineering, computer science, and clinical backgrounds, which can lead to challenges in communication and aligning goals across disciplines. Collaborators may use different terminology or have varying expectations regarding project timelines and outcomes. Successful professionals in this field need to be proactive in fostering clear communication, demonstrating adaptability, and developing a basic understanding of adjacent fields to effectively contribute to collaborative projects. These interdisciplinary challenges ultimately offer valuable opportunities for personal growth and innovation.
What cities in Michigan are hiring for Neural Interface Research jobs? Cities in Michigan with the most Neural Interface Research job openings:

Postdoctoral Fellow in Neural Engineering and Prosthetic Control

University of Michigan

Ann Arbor, MI • On-site

$47K - $65K/yr

Full-time

Posted 22 days ago


University Of Michigan rating

8.1

Company rating: 8.1 out of 10

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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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