Postdoctoral Researcher Next-Generation Wearable & Sensing Systems

Hanover, PA - USA

Monthly Salary: Not Disclosed

Posted on: 20 hours ago

Vacancies: 1 Vacancy

Job Summary

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 theDepartment 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 Dartmouths 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.
Demonstrated experience with Organoid/MEA interfacing orBCI pipelines including real-time timing and synchronization
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.

Required Experience:

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.

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.
Demonstrated experience with Organoid/MEA interfacing orBCI pipelines including real-time timing and synchronization
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.

Required Experience: