1

Wearable Sensor Research Jobs (NOW HIRING)

Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. * Conduct applied research in self-supervised learning ...

Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. * Conduct applied research in self-supervised learning ...

Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. * Conduct applied research in self-supervised learning ...

You will be working with a team of research scientists and hardware engineers developing ... Knowledge of optical system design for wearable sensing applications including lens design ...

Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. * Conduct applied research in self-supervised learning ...

Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. * Conduct applied research in self-supervised learning ...

Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. * Conduct applied research in self-supervised learning ...

You will be working with a team of research scientists and hardware engineers developing ... Knowledge of optical system design for wearable sensing applications including lens design ...

next page

Showing results 1-20

Wearable Sensor Research information

See salary details

$11K

$112.8K

$129K

How much do wearable sensor research jobs pay per year?

As of Jun 6, 2026, the average yearly pay for wearable sensor research in the United States is $112,800.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $129,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in wearable sensor research, and how can they be addressed?

Professionals in wearable sensor research often encounter challenges such as ensuring data accuracy in diverse real-world environments, achieving comfort and usability for end-users, and maintaining reliable device connectivity. Addressing these challenges typically involves close collaboration with multidisciplinary teams, including engineers, designers, and healthcare specialists, to iterate on prototypes, conduct user testing, and refine algorithms. Staying updated on advancements in material science and data analytics also plays a crucial role in overcoming technical obstacles and delivering practical solutions.

What are the key skills and qualifications needed to thrive in wearable sensor research, and why are they important?

To thrive in wearable sensor research, you need expertise in biomedical engineering, sensor technology, data analysis, and typically a relevant advanced degree (MSc or PhD). Familiarity with programming languages (e.g., Python, MATLAB), hardware prototyping tools, and data acquisition systems is essential. Strong problem-solving abilities, interdisciplinary collaboration, and effective communication help drive innovation and successful research outcomes. These skills enable researchers to develop reliable, user-friendly wearable technologies that address real-world health and performance challenges.

What is the difference between Wearable Sensor Research vs Wearable Device Development?

AspectWearable Sensor ResearchWearable Device Development
CredentialsBackground in engineering, biomedical sciences, or related fieldsSimilar credentials, often with additional focus on product design and engineering
Work EnvironmentResearch labs, universities, or R&D departmentsProduct design teams, manufacturing facilities, or tech companies
Industry UsageFocuses on sensor innovation, data collection, and analysisFocuses on integrating sensors into functional wearable products
Search & Comparison IntentUnderstanding research roles and scientific focusExploring product development careers and practical applications

Wearable Sensor Research involves exploring sensor technologies and data analysis in labs or academic settings, while Wearable Device Development emphasizes creating and engineering complete wearable products. Both roles share similar backgrounds but differ in focus—research versus product creation.

What is wearable sensor research?

Wearable sensor research is the scientific study and development of devices that can be worn on the body to monitor various physiological, behavioral, or environmental data. This field combines expertise from engineering, health sciences, and data analytics to create sensors that track metrics such as heart rate, activity levels, sleep patterns, and more. Researchers in this area aim to improve the accuracy, comfort, and usability of wearable sensors for applications in healthcare, fitness, and everyday life. The ultimate goal is to enable real-time monitoring and support for individuals, promoting better health outcomes and quality of life.
More about Wearable Sensor Research jobs
What cities are hiring for Wearable Sensor Research jobs? Cities with the most Wearable Sensor Research job openings:
What states have the most Wearable Sensor Research jobs? States with the most job openings for Wearable Sensor Research jobs include:
Infographic showing various Wearable Sensor Research job openings in the United States as of May 2026, with employment types broken down into 8% Full Time, 84% Part Time, and 8% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $112,800 per year, or $54.2 per hour.
Postdoctoral Researcher: Next-Generation Wearable & Sensing Systems

Postdoctoral Researcher: Next-Generation Wearable & Sensing Systems

Dartmouth College

Hanover, NH • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Dartmouth College rating

8.7

Company rating: 8.7 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

39th of 532 rated colleges and universities


Job description

Dartmouth College: School of Arts & Sciences: Sciences: Computer Science Location Hanover, NH Open Date

Nov 12, 2025

Description

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.

Qualifications

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 or BCI 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.
Application Instructions

Please submit all materials electronically through Interfolio:

  • Cover Letter (max 3 pages) describing your research interest and experience in hardware development, 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;
  • Curriculum vitae, including names and contact information for three references;
  • Two (2) representative publications;
  • Maximum 3 links to representative hardware products that you built.

Review of applications will begin Jan 10, 2026, 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.vu@dartmouth.edu

Application Process This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge. Apply Now

What Dartmouth College employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom