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Brain Machine Interface Jobs in Virginia (NOW HIRING)

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$13

$22

$30

How much do brain machine interface jobs pay per hour?

As of May 29, 2026, the average hourly pay for brain machine interface in Virginia is $22.63, according to ZipRecruiter salary data. Most workers in this role earn between $19.52 and $25.24 per hour, depending on experience, location, and employer.

What is a Brain Machine Interface job?

A Brain Machine Interface (BMI) job involves developing technologies that connect the human brain with computers or external devices. Professionals in this field work on designing, testing, and improving neural interfaces to restore lost sensory or motor functions, enhance cognitive abilities, or enable direct brain communication with machines. Roles may include neuroscientists, engineers, and software developers collaborating to advance BMI applications in healthcare, assistive technology, and neuroprosthetics.

What are the key skills and qualifications needed to thrive in the Brain Machine Interface position, and why are they important?

To thrive in a Brain Machine Interface (BMI) role, you need a strong background in neuroscience, biomedical engineering, computer science, or a related field, often supported by advanced degrees or specialized training. Proficiency with signal processing software (such as MATLAB or Python), brain imaging tools, and hardware prototyping is typically required, along with familiarity with regulatory standards. Strong problem-solving skills, collaboration, and attention to detail help individuals excel in multi-disciplinary teams working at the intersection of biology and technology. These competencies are crucial for developing safe, effective interfaces and driving innovation in this fast-evolving field.

What are the typical daily responsibilities of someone working in a Brain Machine Interface position?

Professionals in Brain Machine Interface roles usually divide their time between designing experiments, analyzing neural data, developing and testing interface prototypes, and collaborating with cross-disciplinary teams such as neuroscientists, engineers, and clinicians. They may also be involved in writing technical documentation, participating in regulatory compliance activities, and keeping up with the latest scientific literature. Depending on the project, work can flow between laboratory research and computational tasks, requiring flexibility and an eagerness to learn new techniques. The environment is often collaborative and research-focused, providing ample opportunities to contribute to exciting advancements in neurotechnology.
What are the most commonly searched types of Brain Machine Interface jobs in Virginia? The most popular types of Brain Machine Interface jobs in Virginia are:
What are popular job titles related to Brain Machine Interface jobs in Virginia? For Brain Machine Interface jobs in Virginia, the most frequently searched job titles are:
Infographic showing various Brain Machine Interface job openings in Virginia as of May 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $47,061 per year, or $22.6 per hour.
Full Professor with endowment in Electrical Engineering (Tenured,F0090A)

Full Professor with endowment in Electrical Engineering (Tenured,F0090A)

Old Dominion University

Norfolk, VA • On-site

Full-time

Posted 15 days ago


Old Dominion University rating

7.2

Company rating: 7.2 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

327th of 529 rated colleges and universities


Job description

Posting Details
Posting Details
Job Title
Full Professor with endowment in Electrical Engineering (Tenured,F0090A)
Department
ELEC & COMP ENGINEERING
Position Number
F0090A
Job Description
The Department of Electrical and Computer Engineering (ECE) at the Frank Batten College of Engineering and Technology (FBCET) at Old Dominion University (ODU) in Norfolk, VA, invites applications for a senior-level faculty position at the rank of full professor in bioelectric engineering. Exceptionally qualified applicants will be considered for an endowed appointment. The anticipated start date is Fall 2026.
We strongly encourage applications from candidates with a foundation in bioelectrical engineering, biomedical engineering, biophysics, or related fields, with a particular emphasis on those conducting research in nanosecond pulsed electric fields (nsPEF). Priority will be given to candidates whose work intersects bioelectrics with one or more of the following areas: Medical Imaging and Diagnostics, Drug/Gene Delivery, Tissue Engineering and Regenerative Medicine, Electrotherapy and Neuromodulation, Neural Interfaces and Brain-Computer Interfaces, Cancer Treatment, and the integration of artificial intelligence (AI) and machine learning (ML) in bioelectrics-related research.
Research outcomes are expected to impact local and regional communities, potentially leading to groundbreaking therapeutic strategies that result in more effective treatment advancements for cancer and neurological disorders.
The home department for this position is the ECE department. The selected candidate will also hold a core faculty affiliation with the newly established Institute for Engineering in Medicine, Health & Human Performance (EnMed) and the Frank Reidy Research Center for Bioelectrics (FRRCBE), which advance bio-related research and education across the Frank Batten College of Engineering and Technology. The EnMed Institute administers the Biomedical Engineering programs, and the selected candidate is expected to play a key role in supporting its mission and growth.
Successful applicants will be expected to:
  • Develop and sustain an externally funded research program
  • Teach electrical engineering/biomedical engineering courses to a diverse student body
  • Advise students
  • Perform service obligations including serving on committees
  • Successful applicants can collaborate with faculty members in ECE, FBCET and the university with complementary expertise, including those in the Macon & Joan Brock Virginia Health Sciences which includes the Eastern Virginia Medical School.

Candidates should exhibit a strong track record of establishing and maintaining a productive, high-impact research program, as well as effectively mentoring graduate students. They are also expected to demonstrate excellence in teaching at both undergraduate and graduate levels, with a portfolio of distinguished research published in reputable journals and conferences recognized nationally or internationally. Additionally, candidates should have a substantial record of scholarship within an academic setting that supports both undergraduate and graduate programs. Strong communication and interpersonal skills, along with a proven ability to secure external funding, are essential for this role.
Position Type
FullTime
Type of Recruitment
General Public
Type of Recruitment
General Public
Minimum required education and/or special licenses, registrations, trainings, or certifications
  1. Earned Ph.D. in Electrical Engineering, Biomedical Engineering, Biophysics, or a closely related field by May 2025.

Minimum required level and type of experience, knowledge, skills, and abilities
  1. Eligible for appointment at the rank of full professor with tenure.
  2. A strong publication record, as evidenced by peer-reviewed publications.
  3. A sustained record in research and externally funded grants, commensurate with experience.
  4. Relevant research in bioelectrics.

Preferred Qualifications
  • Expressed interest in leveraging complementary research expertise at ODU

Conditions of Employment
Location
Norfolk, VA
Job Open Date
07/25/2026
Application Review Date
12/01/2025
Open Until Filled
Yes
Application Instructions
Interested candidates should visit https://jobs.odu.edu/postings/24442to apply and attach the following:
  1. A cover letter.
  2. Curriculum vitae.
  3. Statement of teaching interests and philosophy.
  4. Statement of research interests including a research plan.
  5. Unofficial graduate transcripts.
  6. Contact information for 3 professional references.

Applications must be submitted by December 1, 2025 for full consideration. The position will remain open until filled.
Telework Friendly
No
Reasonable Accommodation Request
If you are an individual with a disability and require reasonable accommodation, please contact the Division of Talent Management and Culture at (757)683-3141.
Pay Transparency Nondiscrimination Provision
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or © consistent with contractor's legal duty to furnish information.
About the College
https://www.odu.edu/engineering
About the Department
The Department of Electrical and Computer Engineering (ECE) within the Frank Batten College of Engineering and Technology is committed to delivering world-class academic programs, conducting cutting-edge research, and serving the University, the Commonwealth of Virginia, and the broader professional community. Our department offers undergraduate majors in Electrical Engineering, Computer Engineering, and in Modeling and Simulation Engineering within Computer Engineering. At the graduate level, we provide master's and doctoral programs with concentrations in Electrical and Computer Engineering, as well as Biomedical Engineering. Additionally, we offer Doctor of Engineering degrees focusing on Cybersecurity and in Electrical and Computer Engineering.
The department's 30 faculty members are leaders in their fields, including eminent scholars and endowed professors who have earned prestigious distinctions such as fellowships in top professional societies. Our faculty also serve as directors of renowned research centers, such as the Applied Research Center at Jefferson Lab, Center for Bioelectronics, the Institute of Data Science, and the Institute for Engineering in Medicine, Health & Human Performance (EnMed).
For more information visit: https://www.odu.edu/electrical-computer-engineering, https://www.odu.edu/biomedical-engineering, and https://www.odu.edu/frank-reidy-research-center-bioelectrics

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