Company: The University of Arizona
Job Location: Tucson, Arizona
Category: Biological and Biomedical Engineering
Type: Full-Time
Posting Number: req26684
Department: Biomedical Engineering
Location: Tucson Campus
Address: Tucson, AZ USA
Position Highlights
The post-doctoral research fellow will support a multidisciplinary research program investigating glymphatic modulation through neuromodulation, neuroimaging, and neurophysiological monitoring. The position will lead and assist with MRI and EEG data collection in pig studies, including experimental preparation, protocol implementation, and data-quality assurance. The position will analyze multimodal MRI, EEG, and related physiological data and report findings in papers.
Visa sponsorship is not available for this position.
Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and more!
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Duties & Responsibilities
- Plan, coordinate, and perform MRI and EEG data collection in pig studies in collaboration with investigators, veterinary personnel, imaging staff, and other research team members.
- Develop and apply methods for processing and analyzing MRI, EEG, and other physiological or biomedical signals.
- Interpret experimental findings and communicate progress and results to the principal investigator and research team. Prepare figures, tables, scientific presentations, progress summaries, and manuscripts for peer-reviewed publication.
Knowledge, Skills, and Abilities (KSAs):
- Knowledge of neuroimaging principles and methods, particularly neuroimaging data acquisition, image reconstruction or preprocessing, quality control, and quantitative analysis.
- Knowledge of EEG acquisition and analysis, including electrode preparation, signal synchronization, artifact identification and removal, spectral analysis, and interpretation of neurophysiological signals.
- Knowledge of statistical methods and reproducible research practices for analyzing biomedical and longitudinal experimental data.
Minimum Qualifications
PhD in biomedical engineering, neuroscience, electrical engineering, medical physics, bioengineering, or a closely related field upon hire.
Position Details
- FLSA: Exempt
- Full Time/Part Time: Full Time
- Number of Hours Worked per Week: 40
- Job FTE: 1.0
- Work Calendar: Fiscal
- Job Category: Research
- Benefits Eligible: Yes - Full Benefits
- Rate of Pay: NIH salary guidelines, Depends on Experience
- Compensation Type: salary at 1.0 full-time equivalency (FTE)
- Type of criminal background check required: Name-based criminal background check (non-security sensitive)
- Number of Vacancies: 1
- Open Until Filled: Yes
- Documents Needed to Apply: Curriculum Vitae (CV) and Cover Letter
Contact Information for Candidates
Nan-kuei Chen
Professor, Biomedical Engineering
nkchen@arizona.edu
Apply Now
