Postdoctoral Research Associate I
Listed on 2026-08-03
-
Research/Development
Research Scientist, Data Scientist, Medical Science, Biomedical Science
Postdoctoral Research Associate I
Posting Number - req
26684
Location
- Tucson Campus
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. 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! The University of Arizona has been recognized for our innovative work-life programs.
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.
Benefits Eligible
- Yes
- Full Benefits
Rate of Pay - NIH salary guidelines, Depends on Experience
Contact Information for Candidates
- Nan-kuei Chen Professor, Biomedical Engineering nkchen
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).