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Phd Wearable Sensor Intern Jobs (NOW HIRING)

Apple

Biomedical Sensor Architect

Cupertino, CA

$184K - $324K/yr

PhD in Biomedical or Optical Engineering. 5+ years of industry experience in related field. Minimum ... design for wearable sensing applications including lens design, integration of electro-optical ...

FieldAI

Senior Data Operations Engineer

Boston, MA · On-site

$110K - $140K/yr

... wearable sensor stacks (including soldering and cable assembly). * Write and maintain QA scripts ... Own first-level QC and escalation for intern/contractor output; flag protocol or safety issues.

FieldAI

Senior Data Operations Engineer

Boston, MA

$110K - $140K/yr

... wearable sensor stacks (including soldering and cable assembly). * Write and maintain QA scripts ... Own first-level QC and escalation for intern/contractor output; flag protocol or safety issues.

FieldAI

Senior Data Operations Engineer

Boston, MA

$110K - $140K/yr

... wearable sensor stacks (including soldering and cable assembly). * Write and maintain QA scripts ... Own first-level QC and escalation for intern/contractor output; flag protocol or safety issues.

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Phd Wearable Sensor Intern information

What is the difference between Phd Wearable Sensor Intern vs Phd Biomedical Engineer?

AspectPhd Wearable Sensor InternPhd Biomedical Engineer
CredentialsPhD or pursuing PhD in engineering, computer science, or related fieldsPhD in biomedical engineering, electrical engineering, or related fields
Work EnvironmentResearch labs, tech companies, startups focusing on wearable techHospitals, research institutions, medical device companies
Industry UsageInternship roles in wearable sensor development and testingDesign, develop, and improve biomedical devices and systems

The Phd Wearable Sensor Intern typically focuses on research and development of wearable sensor prototypes during an internship, often in a tech or startup environment. In contrast, a Phd Biomedical Engineer usually works on designing and improving medical devices in a more permanent role within healthcare or medical device companies. Both roles require advanced degrees but differ mainly in their scope, responsibilities, and work settings.

What types of projects might a PhD wearable sensor intern typically work on during their internship?

As a PhD Wearable Sensor Intern, you can expect to work on interdisciplinary projects that involve designing, prototyping, and testing advanced wearable sensor technologies. You may contribute to both hardware development and data analysis, collaborating closely with engineers, data scientists, and product teams to address real-world health or performance monitoring challenges. Interns often have the opportunity to publish research findings, present at internal meetings, and gain exposure to the product development lifecycle. This role provides valuable experience in both academic research and industry-driven innovation.

What are the key skills and qualifications needed to thrive as a PhD wearable sensor intern, and why are they important?

To thrive as a PhD Wearable Sensor Intern, you typically need a strong background in electrical engineering, biomedical engineering, or a related field, along with experience in sensor design and data analysis. Familiarity with programming languages (such as Python or MATLAB), signal processing tools, and hardware prototyping platforms is often required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate with multidisciplinary teams and articulate research findings. These skills are crucial for advancing sensor technologies and delivering impactful research outcomes in wearable health monitoring.

What does a PhD wearable sensor intern do?

A PhD Wearable Sensor Intern typically works on the research and development of advanced sensor technologies that can be integrated into wearable devices. Their responsibilities may include designing experiments, collecting and analyzing physiological data, developing algorithms to process sensor data, and collaborating with multidisciplinary teams. The internship is often aimed at leveraging the intern’s expertise to solve complex problems in wearable health monitoring, activity recognition, or user interaction. This hands-on experience helps bridge academic research with real-world applications in the wearable technology industry.
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Infographic showing various Phd Wearable Sensor Intern job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Postdoctoral Researcher Position: Flexible Biosensor and Wearable Bioelectronics

Terasaki Institute

Woodland Hills, CA

$122K/yr

Full-time

Re-posted 5 days ago

Job description

Overview

The Terasaki Institute for Biomedical Innovation develops personalized therapeutic solutions using advanced micro- and nanoscale technologies to address major challenges in human health. The Institute works closely with clinicians, engineers, and industry partners to translate biomaterials, bioelectronics, microfluidics, and biosensing technologies into clinically relevant platforms.

We are seeking a highly motivated Postdoctoral Researcher to join an interdisciplinary team developing wearable sweat biosensors for closed-loop obesity management. The project focuses on creating a wearable physiological feedback sensor module that can be integrated with a vagus nerve stimulation-based obesity management system. The first-generation sensor platform will focus on sweat lactate, pH, and ionic strength as metabolic and contextual readouts to support future closed-loop neuromodulation and personalized metabolic monitoring.

The successful candidate will contribute to sensor design, microfluidic sweat collection, electrochemical biosensing, wearable device integration, benchtop validation, data analysis, and prototype development.

Key Responsibilities

  • Conduct research on wearable biosensors for metabolic and physiological monitoring.
  • Integrate biosensors with flexible substrates, portable electronics, and data acquisition systems.
  • Perform calibration, analytical validation, interference testing, stability testing, and repeatability studies in artificial sweat and relevant biological samples.
  • Analyze sensor data and develop methods for signal correction, contextual interpretation, and quality control.
  • Collaborate with interdisciplinary teams, including engineers, clinicians, neuroscientists, industry partners, and regulatory or translational collaborators.
  • Prepare technical reports, invention disclosures, manuscripts, presentations, and grant-related materials.
  • Disseminate findings through peer-reviewed publications, conferences, and partner-facing technical updates.

Required Qualifications

  • PhD. in Biomedical Engineering, Bioengineering, Electrical Engineering, Chemical Engineering, Analytical Chemistry, or a related discipline.
  • Strong research experience in wearable sensors, electrochemical sensing, microfluidics, bioelectronics, or related areas.
  • Demonstrated ability to design experiments, collect data, analyze results, and troubleshoot complex technical problems.
  • Strong publication record in peer-reviewed journals.
  • Excellent written and verbal communication skills.
  • Ability to work independently while contributing effectively to an interdisciplinary team.
  • Strong organizational skills and ability to meet project milestones in a fast-paced translational research environment.

Preferred Qualifications

  • Experience developing electrochemical biosensors with various modalities.
  • Experience with wearable biosensors, skin-interfaced devices, or physiological monitoring systems.
  • Experience with microfluidic device design, soft lithography, laser cutting, flexible materials, adhesive patches, or wearable device fabrication.
  • Experience with flexible electronics, portable potentiostat, wireless readout, signal acquisition, or embedded sensor systems.
  • Experience with biological sample testing, sensor calibration, interference testing, antifouling strategies, and drift correction.
  • Experience with data processing, signal quality analysis, Python, MATLAB, LabVIEW, Arduino, or related tools.
  • Interest in bioelectronic medicine, closed-loop therapeutic systems, neuromodulation, metabolic health, or digital health technologies.
  • Experience working with translational research projects, industry collaborations, prototype development, or milestone-driven R&D programs.

Application Materials

  • Curriculum Vitae (CV).
  • Research statement (1-3 pages).
  • Contact information for three professional references.

Apply