Temp Lab Manager -Computer Science

University of North Carolina Wilmington; Wilmington (NC); On-site; USD 90,000 - 110,000; Full time

Job summary

University of North Carolina Wilmington seeks a Temp Lab Manager in Computer Science to lead the biosignal lab. Responsibilities include executing research roadmaps, developing DSP-based EEG/ECG processing algorithms, and designing ML/AI solutions for biosignal cleaning and prediction.

You will supervise data collection and ensure IRB compliance. The role requires a master's/PhD in a related field, 5+ years in DSP for biosignals, and CITI certification.

Qualifications

• Master's or PhD in Electrical Engineering, Computer Engineering or Computer Science.
• Minimum 5 years using DSP to denoise and classify EEG signals for sleep research.
• Published peer-reviewed research articles on EEG, ECG, sleep research or related biosignal topics.
• Current CITI certification.

Responsibilities

• Collaborate with PIs to execute the biosignal research roadmap.
• Develop EEG/ECG denoising and classification algorithms.
• Design ML/AI solutions for biosignals using ML, DL, and Transformers.
• Perform signal analysis in the time and frequency domains.
• Oversee the biosignal collection lab and data collection staff.
• Ensure IRB and human subjects protections compliance.

Skills

DSP techniques

Biosignal analysis

Statistical ML concepts

Deep learning

Transformer architectures

Education

Master's or PhD in Electrical Engineering, Computer Engineering or Computer Science

Tools

MATLAB

Python

SciPy

MNE-Python

TensorFlow

PyTorch

BioSemi ActiveTwo

Job description

Working Title

Temp Lab Manager -Computer Science

Department

Computer Science - 32331

Job Category

Administrative & Managerial

FLSA for Position

Exempt

Brief Summary of Work for this Position

Research Execution & Algorithm Development

• Collaborate with PIs to execute the research translation roadmap for biosignal research.
• 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.

Work Hours

9am - 5pm

Work Days

Mon - Fri

Hours Per Week

40 hours per week

Anticipated Hiring Range

$100,000

Job Posting Date

09/01/2026

Job Closing Date

09/30/2026

EEO Statement

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.

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