Postdoctoral Fellow in Imaging Photoplethysmography and Vital Sign Monitoring at University of Arizona

Location: Tucson, AZ

Cap-Exempt H-1B Position — No lottery required

**Project summary** The Arizona Center for Telemedicine and Digital Health at the University of Arizona seeks a **postdoctoral fellow** to develop and validate imaging photoplethysmography (iPPG/PPGI) methods for noncontact monitoring of vital signs, with emphasis on **robust heart‑rate, heart‑rate variability, respiration**, and **cuffless blood‑pressure estimation**. The role combines optical system design, video acquisition, signal processing, machine learning, and clinical validation to produce reproducible, bias‑aware algorithms and datasets suitable for translational research. **Key responsibilities** - **Design and implement** video acquisition setups (RGB/IR cameras, illumination, synchronization with reference sensors). - **Develop signal‑processing pipelines** for motion compensation, denoising, and pulse waveform extraction. - **Build and evaluate machine‑learning models** for HR, HRV, respiration, and cuffless BP estimation with rigorous cross‑validation and bias analysis. - **Plan and run human subject studies** including protocol design, ground‑truth collection (ECG, cuff BP), and IRB coordination. - **Perform statistical and clinical validation**, including error analysis across skin tones, motion conditions, and demographics. - **Document and disseminate** results via peer‑reviewed publications, open datasets, and code releases; contribute to grant writing. - **Mentor** graduate and undergraduate students working on related tasks. **Required qualifications** - **PhD** in Biomedical Engineering, Electrical Engineering, Computer Science, Applied Physics, or related field (completed within last 5 years or imminent). - Strong background in **signal processing** and **time‑series analysis** (filtering, ICA, spectral analysis, pulse extraction). - Demonstrated experience with **computer vision / imaging** (camera systems, exposure/frame‑rate control, OpenCV or equivalent). - Proficiency in **programming** (Python; libraries such as NumPy, SciPy, PyTorch/Te