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Phd Wearable Sensor Intern Jobs (NOW HIRING)

MiniMed

Distinguished Scientist

Los Angeles, CA · On-site

PhD or MS in Chemical Engineering, Biomedical Engineering, Bioengineering, Materials Science ... Commercial CGM, wearable biosensor, implantable sensor, electrochemical sensor, or multi-analyte ...

MiniMed

Distinguished Scientist

Northridge, CA · On-site

PhD or MS in Chemical Engineering, Biomedical Engineering, Bioengineering, Materials Science ... Commercial CGM, wearable biosensor, implantable sensor, electrochemical sensor, or multi-analyte ...

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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 May 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.
Research Engineer Intern - Mapping & Localization

Research Engineer Intern - Mapping & Localization

PlusAI

Santa Clara, CA • On-site

$19 - $65/hr

Other

Retirement

Posted 18 days ago

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

Our Localization & Mapping team is responsible for ensuring our autonomous vehicles always know precisely where they are and what the world around them looks like. High-definition (HD) LiDAR maps are the foundation of this safety, but the real world changes constantly-roads get repaved, construction zones appear overnight, and new buildings reshape the horizon.

As a Summer Intern, you will contribute to the design and implementation of an automated, end-to-end Map Change Detection Pipeline. Your mission will be to process incoming data from our active testing fleet, compare it against our base HD maps, and isolate permanent structural changes from daily clutter (like parked cars or pedestrians). This pipeline will directly drive our automated map-updating engine, keeping our fleet safe and scalable.
Responsibilities:
  • LiDAR Algorithm Development: Design, develop, and optimize cutting-edge LiDAR-based localization and mapping algorithms to enhance the autonomy of vehicles.
  • Map Support: Refine both online and offline map generation algorithms to improve and sustain localization precision.
  • Map Interface Enhancement: Advance the functionality and user experience of the LiDAR map interface, focusing on the robust management of various map versions.
  • Sensor Fusion Development: Skillfully merge LiDAR data with other sensory inputs (e.g., GPS, IMU, cameras) to devise integrated, real-time mapping and localization solutions.
  • Continue to grow within the team, taking on more complex projects and pushing the boundaries of autonomous vehicle technology.
Required Skills:
  • Education: MS or PhD in Computer Science, Electrical Engineering, Robotics, or a related discipline.
  • Technical Experience: Proven project involvement in LiDAR-based localization and mapping within autonomous vehicles or robotics.
  • Sensor Fusion Expertise: Deep understanding of integrating various sensors like LiDAR, GPS, IMU, and camera data.
  • Software Proficiency: Solid experience in C++ and ROS.
  • Communication: Exceptional ability to communicate complex technical details effectively across multidisciplinary teams, concepts to non-technical team members.
Preferred Skills:
  • Experience with Gaussian splatting/NeRF is a plus.
  • Experience with deep learning techniques applied to localization and mapping is a plus.
$19 - $65 an hour
Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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