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Phd Iot Researcher Jobs (NOW HIRING)

... home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and ... Candidate shall be currently enrolled in an accredited program seeking a PhD in Electrical ...

New

... home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and ... Pursuing MS/PhD degree in Electrical Engineering or Physics * Completed some course work in RF ...

... home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and ... Candidate shall be currently enrolled in an accredited program seeking a PhD in Material Sciences ...

... home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and ... Candidate shall be currently enrolled in an accredited program seeking a PhD in Electrical ...

New

... IoT solutions, wireless charging, distributed intelligence, embedded AI/Light weight AI models ... PhD in Computer Science or Electrical Engineering * Experience in wireless communication, signal ...

Wireless Research Scientist

Sunnyvale, CA · On-site

$140K - $160K/yr

... IoT solutions, wireless charging, distributed intelligence, embedded AI/Light weight AI models ... PhD in Computer Science or Electrical Engineering * Experience in wireless communication, signal ...

Wireless Research Engineer

Sunnyvale, CA · On-site

$140K - $160K/yr

... IoT solutions, wireless charging, distributed intelligence, embedded AI/Light weight AI models ... PhD in Computer Science or Electrical Engineering * Experience in wireless communication, signal ...

Wireless Research Engineer

Sunnyvale, CA · On-site

$140K - $160K/yr

... IoT solutions, wireless charging, distributed intelligence, embedded AI/Light weight AI models ... PhD in Computer Science or Electrical Engineering * Experience in wireless communication, signal ...

Wireless Research Scientist

Sunnyvale, CA · On-site

$140K - $160K/yr

... IoT solutions, wireless charging, distributed intelligence, embedded AI/Light weight AI models ... PhD in Computer Science or Electrical Engineering * Experience in wireless communication, signal ...

Wireless Research Engineer

Sunnyvale, CA · On-site

$140K - $160K/yr

... IoT solutions, wireless charging, distributed intelligence, embedded AI/Light weight AI models ... PhD in Computer Science or Electrical Engineering * Experience in wireless communication, signal ...

... home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and ... Candidate shall be currently enrolled in an accredited program seeking a PhD in Electrical ...

... home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and ... Candidate shall be currently enrolled in an accredited program seeking a PhD in Electrical ...

Staff R&D Engineer-Algorithm

San Jose, CA · On-site

$210K - $288K/yr

... wearable IoT technologies and physiological signal processing, and machine learning to lead the ... What we're looking for * BS with 10+ years, MS with 8+ years, PhD in Electrical Engineering ...

Showing results 41-60

Phd Iot Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do phd iot researcher jobs pay per year?

As of Sep 3, 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 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.

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 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.
More about Phd Iot Researcher jobs

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 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Machine Learning Systems Engineer -- Sensor Algorithms

Talentlab

Santa Clara, CA • On-site

Full-time

Posted 13 days ago


Job description

Machine Learning Systems Engineer — Sensor Algorithms

Location: Santa Clara, CA
Focus: Multi-modal sensor fusion, signal processing, ML algorithms

TalentLab is working with a leading semiconductor and edge-computing technology company on an opportunity for a Machine Learning Systems Engineer focused on advanced sensor algorithms.

This is an R&D-oriented role developing algorithms for single and multi-sensor systems used in smartphones, wearables, IoT and other consumer devices. The work sits at the intersection of sensor fusion, signal processing, estimation and machine learning, with responsibility spanning algorithm design, evaluation and eventual deployment onto embedded platforms.

This is not a traditional ML software engineering or model deployment position. We're particularly interested in engineers with strong research foundations in sensor algorithms, signal processing and statistical methods.

What you'll work on

  • Develop algorithms for single and multi-sensor fusion using ML/AI and statistical techniques.
  • Prototype and evaluate algorithms using Python and MATLAB.
  • Work with inertial sensors and IMU data, including accelerometers and gyroscopes.
  • Design strategies for data collection, analysis, validation and benchmarking.
  • Evaluate trade-offs between algorithm performance, computational complexity and power consumption.
  • Translate algorithm designs toward embedded implementation in C/C++.
  • Collaborate with systems, software, integration and test engineers throughout the product lifecycle.

What we're looking for

  • PhD or Master's degree in Electrical Engineering, Computer Engineering or a closely related discipline.
  • Strong background in signal processing, probability, statistics and estimation.
  • Experience with sensor fusion and/or inertial sensing.
  • Understanding of supervised and unsupervised learning, feature extraction, classification and regression.
  • Strong Python and/or MATLAB skills.
  • Hands-on algorithm development, experimentation and debugging experience.
  • Research or publications in sensor fusion, signal processing, estimation or related areas are highly valued.

Recent PhD graduates with relevant research experience are strongly encouraged to apply
How to Apply?
All qualified and interested applicants can apply directly to Gord Marriage by sending an email with attached resume to gord.marriage@talentlab.com. You may also apply directly on our website at www.talentlab.com. Although we thank all applicants for their interest, only those in consideration will be contacted.