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Temp Lab Manager -Computer Science

Job in Wilmington, New Hanover County, North Carolina, 28412, USA
Listing for: University of North Carolina at Wilmington
Seasonal/Temporary position
Listed on 2026-09-20
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist, Biomedical Science
Salary/Wage Range or Industry Benchmark: 90000 - 110000 USD Yearly USD 90000.00 110000.00 YEAR
Job Description & How to Apply Below

Please see Special Instructions for more details.

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.

University Information

The University of North Carolina Wilmington, the state’s coastal university, is dedicated to the integration of teaching, mentoring, research and service. Widely acknowledged for its world-class faculty and staff and continuously recognized at a national level for scholarly excellence and affordability, UNCW offers a powerful academic experience that stimulates creative inquiry and critical thinking.

A public institution with nearly 18,000 students, UNCW offers a full range of baccalaureate- and graduate-level programs, as well as doctoral degrees in educational leadership, marine biology, nursing practice and psychology; and many distance learning options, including clinical research, an accelerated RN-to-BSN program, an Executive M.B.A. program structured for working professionals, and the nation’s only bachelor’s degree program focused on coastal engineering.

The university’s efforts to advance research and scholarly activities have earned UNCW the elevated designation of “Doctoral Universities:
High Research Activity” institution (R2 University) by the Carnegie Classification of Institutions of Higher Education.

UNCW has been part of the University of North Carolina System since 1969.

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.
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 and 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,…
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