Description
Postdoctoral Researcher: Next-Generation Wearable & Sensing Systems
At Dartmouth’s Cluster for Improving Healthcare Outcomes through Sensory Technology
Description
The Cluster for Improving Healthcare Outcomes through Sensory Technology at Dartmouth invites applications for a Postdoctoral Researcher to support a new faculty program 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.
This position is full-time, non-remote, and in-residence at Dartmouth in Hanover, NH, with a start date as soon as possible. The postdoc will be hosted in Computer Science and supported by the Guarini School for Graduate and Advanced Studies.
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 Qualifications
Ph.D. in Electrical/Computer Engineering, Computer Science, Bioengineering, or related field by 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.
Additional Experience That Will Strengthen the Application
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.
Application Instructions
Submit via email cihost@dartmouth.edu
Cover Letter describing fit to wearable or implantable sensing focus and alignment with the Cluster’s program
CV with publications and links to code repositories (Github)
Two representative publications.
Applications are reviewed on a rolling basis until the position is filled. For any inquiries about the position, please contact us at Cluster for Improving Healthcare Outcomes through Sensory Technology - cihost@dartmouth.edu
Equal Employment Opportunity Statement
Dartmouth College is an equal opportunity employer under federal law. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications are welcome from all.
Dartmouth is committed to accessibility for its community. If you are an applicant with a disability and would like to request a reasonable accommodation to aid in the job application and/or interview process, please email ADA@Dartmouth.edu with the subject line “application accommodations” and include the job number or title.
Applicants are encouraged to address in their cover letter how their research, service, and/or life experiences prepare them to advance Dartmouth’s commitment to diversity in service of academic excellence, including alignment with initiatives such as the Women in Science Project, EE Just STEM Scholars Program, and the Academic Summer Undergraduate Research Experience.
