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Phd Iot Researcher Jobs (NOW HIRING)

PhD degree in mechanical engineering, marine science, electrical engineering, environmental science ... Working knowledge of IoT communication protocols (LoRa, satellite, cellular) for remote sensing ...

PhD degree in mechanical engineering, marine science, electrical engineering, environmental science ... Working knowledge of IoT communication protocols (LoRa, satellite, cellular) for remote sensing ...

... home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and ... PhD in electrical engineering, material science, physics or related field; Minimum of 3 years of ...

... home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and ... PhD in electrical engineering, material science, physics or related field; Minimum of 3 years of ...

Preferred: ● PhD in Chemistry, Materials Science, Polymer Chemistry, or a related field. ● ... About PROLIM PROLIM is a leading provider of PLM, IoT and Digital transformation solutions to ...

... mobile, XR, Compute, IoT, and Automotive. Our technologies have been incorporated into ... OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of ...

IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables ... MS or PhD in Computer Science or other technical degree. * Experience with state-of-art data ...

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Phd Iot Researcher information

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$30K

$113.1K

$164.5K

How much do phd iot researcher jobs pay per year?

As of Aug 13, 2026, the average yearly pay for phd iot researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What are some of the main challenges faced by a PhD IoT Researcher in balancing academic research with industry collaboration?

As a PhD IoT Researcher, one of the main challenges is effectively balancing the rigorous demands of academic research—such as publishing papers and conducting experiments—with the practical and often fast-paced requirements of industry partners. This role often involves managing multiple projects simultaneously, ensuring that research outcomes are both scientifically robust and relevant to real-world IoT applications. Strong communication and project management skills are essential for aligning academic goals with industry expectations, and researchers need to be adaptable to shifting priorities and timelines. Additionally, navigating intellectual property concerns and data privacy regulations is a common aspect when working with external organizations.

What are the key skills and qualifications needed to thrive as a PhD IoT Researcher?

To thrive as a PhD IoT Researcher, you need advanced knowledge in computer science, electronics, and data analytics, supported by a doctoral degree in a related field. Familiarity with IoT protocols, embedded systems, programming languages (such as Python or C++), and experience using research tools and platforms are typically required. Strong problem-solving, critical thinking, and collaboration skills help researchers innovate and communicate findings effectively. These skills are crucial for developing cutting-edge IoT solutions, advancing research, and contributing to interdisciplinary teams.

What does a PhD IoT Researcher do?

A PhD IoT (Internet of Things) Researcher is an academic or industry professional who conducts advanced research on IoT technologies, devices, and systems. Their work typically involves developing new solutions for connecting and managing smart devices, improving data communication, and addressing security and privacy concerns within IoT networks. They may also publish papers, contribute to technical standards, and collaborate with other researchers or companies to drive innovation in the IoT field.
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What cities are hiring for Phd Iot Researcher jobs?

Cities with the most Phd Iot Researcher job openings:

What states have the most Phd Iot Researcher jobs?

States with the most job openings for Phd Iot Researcher jobs include:

Infographic showing various Phd Iot Researcher 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, with an average salary of $113,102 per year, or $54.4 per hour.

AI Research Engineer Intern

Renesas Electronics

San Jose, CA • On-site

$31.25 - $47.75/hr

Full-time, Internship

Medical, Dental, Vision

Posted 23 days ago


Job description

Job Description

Internship - 3-6 months (start date asap) and extendable

San Jose, CA - Hybrid

About Renesas

Renesas Electronics is a global leader in embedded semiconductor solutions, enabling connected and intelligent devices across automotive, industrial, and IoT markets. The Gen5 Model Development team is advancing next-generation AI systems for automotive applications, with a focus on foundation models, causal reasoning, video understanding, and deployment on edge automotive SoCs.

We are seeking motivated AI research interns to help develop advanced AI technologies for ADAS and autonomous driving.

Internship Overview

The selected intern will work on developing a Causal ADAS Foundation Model that can understand complex driving scenes, identify causally relevant agents, predict future risk, and support safer trajectory planning.

This internship combines research and engineering across autonomous driving, video foundation models, multi-modal AI, causal reasoning, risk prediction, trajectory planning, and edge AI deployment. Interns will collaborate with researchers and engineers on work that may lead to publications, patents, and deployment on Renesas automotive platforms.

Key Responsibilities

Develop and evaluate AI models for video-based driving scene understanding.

Design methods to identify causal factors influencing driving decisions.

Build models for risk prediction, collision forecasting, and safety assessment.

Develop trajectory prediction and planning models for ADAS applications.

Create counterfactual and intervention-based evaluation pipelines.

Benchmark models against state-of-the-art open-source and commercial baselines.

Optimize models for deployment on Renesas automotive hardware platforms.

Document findings and contribute to technical reports, publications, or patent disclosures.

Qualifications

Minimum Qualifications

Currently pursuing a BS, MS, or PhD in Computer Science, AI, Machine Learning, Robotics, Electrical Engineering, or a related field.

Strong programming skills in Python.

Experience with PyTorch or TensorFlow.

Good understanding of machine learning, deep learning, computer vision, and neural network architectures.

Strong analytical and problem-solving skills.

Experience in one or more areas such as Autonomous Driving, Large Language Models (LLMs), Vision-Language Models (VLMs), Vision-Language-Action (VLA) Models, World Models, Reinforcement Learning, Causal AI, Multi-modal Learning, Robotics, ONNX, TensorRT, or Edge AI deployment.

What You Will Gain

Hands-on experience building advanced AI systems for automotive applications.

Exposure to large-scale autonomous driving datasets and evaluation platforms.

Opportunity to contribute to research publications, patents, and technical documentation.

Experience deploying AI workloads on real automotive hardware.

Mentorship from experts in AI, embedded systems, and autonomous driving.

Deliverables

By the end of the internship, successful candidates are expected to:

Develop a working prototype of a causal ADAS model or subsystem.

Benchmark performance against existing baselines.

Deliver reproducible training and evaluation pipelines.

Present technical results to engineering leadership.

Contribute to publication-quality research artifacts or documentation.

Additional Information

The expected hourly pay range for this position is $31.25/hr - $47.75/hr. This position is also eligible for bonus opportunities. Please note that the final offer amount, including any applicable bonuses, will be dependent on geographic location, relevant experience, and skillset of the candidate. 

Interns may be eligible for certain Company-provided benefits, which can include sick leave, holiday pay, and medical, dental, and vision insurance. Eligibility and specific benefits will be provided in accordance with Company policy and applicable law. 

Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on worldleading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.

At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.

We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.

Are you ready to join our team and shape the future with us?

Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.

Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.