Postdoctoral Researcher: Next-Generation Wearable & Sensing Systems

The Cluster for Improving Healthcare Outcomes through Sensory Technology at Dartmouth College invites applications for a postdoctoral researcher with expertise in next-generation sensor systems for healthcare and longevity.

The program bridges sensing/material innovation, circuits and low-power systems, and brain-inspired computing to transform wearable health platforms from lab prototypes into real-world impact. We seek a hands-on systems researcher with expertise across wearable sensing, embedded/firmware, and ML for time-series biosignals. The postdoc will design, integrate, and validate sensing hardware, firmware, and AI pipelines; lead human-subject evaluations; and help translate research into systems deployable in real-world settings.

Key Responsibilities:

• Design, fabricate, and validate wearable or implantable biosignal sensors and analog front-ends with low-noise amplification, filtering, and synchronized acquisition.
• Perform PCB design, rapid hardware iteration, and reliability testing for field deployment.
• Develop embedded firmware for sensor drivers, timestamping/sync, BLE streaming, and OTA updates across hardware revisions.
• Execute benchtop calibration/characterization, maintain test fixtures, and generate verification reports and traceable logs.
• Build data-acquisition pipelines and lightweight dashboards for engineering and study teams.
• Implement signal-processing and lightweight on-device detection (artifact handling, feature extraction, rule-based/event-driven primitives) to support real-time sensing and closed-loop control.
• Design, integrate, and validate closed-loop feedback systems (vibration, light, audio, and electrical modalities) for targeted therapeutic interventions.
• Prepare publications, figures, datasets, and technical reports; contribute to grant methods/aims and tech-transfer packages (prototype docs, invention disclosures.)
• Coordinate day-to-day with students and collaborators to keep builds, tests, and deployments on schedule; maintain SOPs, versioning (hardware/firmware/models), and CI/CD.

This position is full-time, non-remote, and in-residence at Dartmouth in Hanover, NH, with a start date as early as Spring 2026. Initial appointment is for one year, with the possibility of renewal. Postdoctoral researchers are advised and hosted in the Department of Computer Science. They are also supported by the Guarini School for Graduate and Advanced Studies, including their community initiatives.

Dartmouth is committed to academic excellence and encourages the open exchange of ideas within a culture of mutual respect. Dartmouth welcomes people with different backgrounds, life experiences, and perspectives and believes that diversity in all its forms enhances academic excellence. Applicants should address in their cover letter how their research, teaching, service, and/or life experiences prepare them to serve Dartmouth's commitment to academic excellence in an environment that is welcoming to all.

Required:

• Ph.D. in Electrical/Computer Engineering, Computer Science, Bioengineering, or a closely related field, or ABD with degree received by the start date.
• Hands-on expertise in biosignal acquisition and analog front-end design (low-noise amps, filtering, ADC selection, grounding/shielding).
• Proven PCB design & bring-up (Altium/KiCad), power management, and bench debugging (oscilloscope, logic analyzer, spectrum analyzer).
• Proficiency in embedded firmware and OTA/fleet update workflows.
• Solid signal-processing for neural/biosignal time series; proficiency with Python/Matlab for analysis/tools.
• Demonstrated experience with BCI pipelines including real-time timing and synchronization and/or Organoid/MEA interfacing
• Track record of first-author publications or documented delivery of research-grade hardware/firmware in wearables, neural interfaces, sensing systems, and stimulation systems.

Preferred:

• Packaging for human use: flex/rigid-flex PCBs, skin/electrode interfaces, environmental sealing (IP ratings), and comfort/adhesion considerations.
• Exposure to quality & risk practices (DFMEA/HFMEA), basic regulatory/design controls for digital health, and data governance for human/biological data.
• Practical back-end basics (secure transfer, metadata schemas, simple APIs), Git/CI, and hardware/firmware configuration management.

Please submit all materials electronically through Interfolio:

1. Cover Letter (max 3 pages) describing your research interest and experience in wearable or implantable sensing focus and alignment with the Cluster's program. This should also include research and teaching interests as well as preparation to serve Dartmouth's commitment to academic excellence in an environment that is welcoming to all;
2. Curriculum vitae, including names and contact information for three references;
3. Two (2) representative publications;
4. Maximum 3 links to representative code repositories (Github).

Review of applications will begin November 30, 2025, and will continue until the position is filled. Recommendation letters will be requested only for finalists. For questions about the position, please contact Dr. Tam Vu at tam.n.vn@dartmouth.edu.