Develop algorithms for the acquisition, denoising, and
classification of EEG and ECG biosignals.
Design and develop novel ML/AI solutions for biosignal
cleaning, denoising, and prediction, including approaches based on
statistical machine learning, deep learning, and Transformer
architectures.
Perform signal analysis in both the Fourier (frequency) domain
and the time domain with equal proficiency.
Design and implement digital signal processing pipelines for
noisy biosignal environments.
Develop and refine research methodologies for biosignal
acquisition and analysis.
Contribute to the design and development of IC chip-based
biosignal acquisition systems.
Laboratory & Team Management
- Manage day-to-day research operations of the biosignal
collection laboratory.
- Supervise, train, and coordinate contingent student research
assistants performing data collection.
- Ensure all data collection protocols comply with IRB
requirements and human subjects protections.
- Maintain data quality standards and establish best practices
for biosignal acquisition.
- Manage laboratory equipment, including BioSemi ActiveTwo data
acquisition systems.
Data Collection & Human Subjects Research
- Collect EEG and ECG signals using both dry and wet electrode
systems.
- Maintain current CITI certification for human subjects'
research.
- Develop and document research protocols for biosignal data
collection.
- Ensure compliance with all applicable federal, state, and
institutional regulations for human subjects research
Scholarly Output
- Contribute to and lead the preparation of peer-reviewed
research publications.
- Present research findings at national and international
conferences.
- Assist with progress reports and grant-related documentation
for the NCI.
Minimum Education and Experience Requirements:
- Master's or PhD in Electrical Engineering, Computer Engineering
or Computer Science
- Minimum 5 years using digital signal processing (DSP)
techniques to denoise nad classify EEG signals for sleep
research
- Published peer-reviewed research articles of EEG, ECG, sleep
research or related biosignal topics.
- Current CITI certification
Preferred Education, Knowledge, Skills &
Experience:
- Deep research experience collecting and analyzing biosignals,
with a preference for EEG and ECG signals.
- Experience analyzing EEG signals from noisy environments.
- Working knowledge of statistical machine learning techniques,
deep learning approaches, and Transformer architectures as applied
to signal processing.
- Experience developing ML/AI solutions for biosignal cleaning,
denoising, and prediction.
- Experience working with human subjects, including current CITI
certification.
- Experience collecting EEG/ECG signals using both dry and wet
electrode systems.
- Experience managing a team of data collection personnel.
- Experience in composing and developing research methodology for
biosignal research.
- Experience working in the Fourier domain and the time domain
for signal analysis.
- Working knowledge of MATLAB and associated toolboxes for signal
processing, optimization, and machine learning.
- Working knowledge of Python, including frameworks and libraries
for signal processing (e.g., SciPy, MNE-Python), machine learning
(e.g., scikit-learn, TensorFlow, PyTorch), and artificial
intelligence.
- Experience using BioSemi ActiveTwo data acquisition
system.
- Experience with BioSemi software solutions for data acquisition
and management.
- Experience with IC chips for the acquisition of
biosignals.
Required Certifications or Licensure:
Maintain CITI certification
Primary Purpose of Organizational Unit:
The College of Science and Engineering offers a variety of programs
leading to Bachelor of Science and Master of Science degrees, as
well as Doctor of Philosophy degrees in applied coastal and ocean
sciences; pharmaceutical chemistry; integrative, comparative, and
marine biology; and psychology. The college also offers combined
bachelor's/master's degree programs in information
technology/computer science and information systems, computer
science/computer science and information systems, B.S. in
mathematics/M.S. in mathematics, coastal engineering/coastal and
ocean policy, and psychology/applied gerontology. To implement its
academic programs, the college provides instruction and research
opportunities in the natural and behavioral sciences, information
technology, data science, computer science, mathematics,
pre-engineering, and engineering. The eight academic departments in
the college provide courses of study in each of these areas, in
addition to interdepartmental programs in information technology,
cybersecurity, and digital arts. A 2+2 in engineering; and 3+2
programs in computer science and electrical or computer
engineering; and physics and electrical engineering, are also
offered in the college. Post-baccalaureate certificate programs in
environmental studies, applied statistics, and geographic
information science are also available.
CSE students work with distinguished faculty and scientists, use
cutting edge technology, and conduct impactful research.
Faculty-directed research projects empower CSE students to apply
what they learn inside the classroom and laboratory to real-world
situations and prepare them for a variety of careers or advanced
study.
College/School Information:
Work Hours: 9am - 5pm
Work Days: Mon - Fri
Hours Per Week: 40 hours per week
Type of Position:
Anticipated Hiring Range: $100,000
Special Instructions to Applicants:
PLEASE NOTE: This posting will close at 11:59PM
(Eastern time) on the posted closing date. To receive full
consideration, please be sure you have fully completed the entire
application before you apply for this position.
Applications must be submitted through the online application
system to be considered.
Job Posting Date: 09/01/2026
Job Closing Date: 09/30/2026
Eligibility for Employment:
Final candidates are subject to criminal & sex offender
background checks. Some vacancies also require credit or motor
vehicle checks. UNC Wilmington participates in E-Verify. Federal
law requires all employers to verify the identity and employment
eligibility of all persons hired to work in the United
States.
Number of Openings: Single Incumbent
To apply, visit https://jobs.uncw.edu/postings/40838
UNCW does not discriminate against any employee or applicant for
employment because of his or her race, sex (such as gender, gender
identity, marital status, childbirth, and pregnancy), age, color,
national origin (including ethnicity), religion, disability, sexual
orientation, political affiliation, veteran status, military
service member status, genetic information, or relationship to
other university constituents - except where sex, age, or ability
represent bona fide educational or occupational qualifications or
where marital status is a statutorily established eligibility
criterion for State funded employee benefit programs.
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