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Electrical Engineering Postdoctoral Research Jobs in California

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Electrical Engineering Postdoctoral Research information

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$41.9K

$84.8K

$115K

How much do electrical engineering postdoctoral research jobs pay per year?

As of Sep 1, 2026, the average yearly pay for electrical engineering postdoctoral research in California is $84,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,300.00 and $114,500.00 per year, depending on experience, location, and employer.

What is an electrical engineering postdoctoral research?

An Electrical Engineering Postdoctoral Research job is a temporary research position for individuals who have recently earned a Ph.D. in electrical engineering or a related field. Postdoctoral researchers work under the supervision of faculty or senior scientists to conduct advanced research, publish findings, and contribute to projects in areas such as power systems, signal processing, or semiconductor technology. These roles help researchers gain additional expertise, develop independent research skills, and prepare for careers in academia, industry, or government laboratories.

What are typical daily activities for someone in an electrical engineering postdoctoral research role?

A postdoctoral researcher in electrical engineering typically spends their days designing and conducting experiments, analyzing data, and developing prototypes or simulations based on their research focus. They often collaborate with principal investigators, graduate students, and industry partners to advance project goals and troubleshoot technical challenges. Additional responsibilities may include drafting research papers, presenting findings at conferences, and assisting with grant proposals. This diverse mix of tasks ensures continual learning and professional growth within a dynamic and innovative environment.

What are the key skills and qualifications needed to thrive in an electrical engineering postdoctoral research position?

Excelling in Electrical Engineering Postdoctoral Research requires a Ph.D. in electrical engineering or a related field, combined with strong analytical, problem-solving, and research skills. Familiarity with simulation software (such as MATLAB, Simulink, or SPICE), laboratory instrumentation, and coding languages (like Python or C++) is often necessary, and expertise in relevant certifications such as IEEE membership can be advantageous. Outstanding written and verbal communication, project management, and the ability to collaborate across multidisciplinary teams distinguish top candidates. These capabilities are vital for advancing research objectives, effectively publishing and presenting findings, and fostering innovation within the academic or industry setting.

What are the most commonly searched types of Electrical Engineering Postdoctoral Research jobs in California?

The most popular types of Electrical Engineering Postdoctoral Research jobs in California are:

What are popular job titles related to Electrical Engineering Postdoctoral Research jobs in California?

For Electrical Engineering Postdoctoral Research jobs in California, the most frequently searched job titles are:

Infographic showing various Electrical Engineering Postdoctoral Research job openings in California as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $84,834 per year, or $40.8 per hour.

Postdoctoral Researcher - STEM (Remote | $65-$100/hr

Synthires

San Francisco, CA โ€ข On-site

$65 - $100/hr

Other

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Postdoctoral Researcher โ€“ STEM

Position: Postdoctoral Researcher โ€“ STEM

Type: Contract

Compensation: $65โ€“$100/hour

Location: Remote

About the Opportunity

This opportunity is for experienced Postdoctoral Researchers and STEM Research Specialists with advanced expertise in scientific research, technical problem-solving, data analysis, research methodology, scientific reasoning, and experimental workflows to contribute to advanced AI research and evaluation projects.

In this role, you'll apply your research expertise to evaluate AI-generated scientific outputs, technical analyses, research methodologies, problem-solving approaches, and complex STEM workflows. Your work will help improve the accuracy, reasoning, reliability, and research capabilities of next-generation AI systems.

No prior AI experience is required. Your advanced STEM research background, scientific reasoning, technical expertise, and research experience are the primary qualifications for success in this role.

Responsibilities

  • Evaluate AI-generated scientific research, technical analyses, and STEM problem-solving outputs for accuracy, depth, and methodological rigor.
  • Apply expertise in research methodology, experimental design, scientific reasoning, data analysis, and technical problem-solving.
  • Review complex research workflows, experimental approaches, computational analyses, and scientific methodologies.
  • Analyze datasets, research findings, experimental results, and technical outputs to identify errors, inconsistencies, limitations, and edge cases.
  • Validate AI-generated solutions using professional STEM knowledge and established research principles.
  • Document research methodologies, analytical approaches, validation processes, and technical reasoning in clear and structured formats.
  • Provide expert feedback to improve AI accuracy, scientific reasoning, problem-solving capabilities, and output quality.
  • Develop or apply structured evaluation frameworks and rubrics for assessing complex STEM research tasks.
  • Collaborate with interdisciplinary teams to maintain scientific accuracy, consistency, and evaluation standards.

Required Qualifications

  • PhD in a STEM discipline, including Science, Technology, Engineering, Mathematics, Computer Science, or a closely related field.
  • Postdoctoral research experience or significant advanced research experience in an academic, industrial, laboratory, or technical research environment.
  • Strong expertise in scientific research methods, experimental design, data analysis, and technical problem-solving.
  • Experience conducting, reviewing, or contributing to independent research projects, publications, technical reports, or scientific studies.
  • Strong ability to analyze complex research questions, methodologies, datasets, and experimental results.
  • Excellent scientific reasoning, analytical thinking, problem-solving, and technical writing skills.
  • Strong written and verbal communication skills with the ability to explain complex technical concepts clearly.
  • Ability to work independently in a fully remote environment.

Preferred Qualifications

  • Experience using AI-assisted research tools, agentic AI systems, coding agents, or technical automation tools.
  • Hands-on experience with tools such as Claude Code, Codex, OpenCode, or similar AI-assisted technical tools.
  • Experience with data analysis, scientific computing, code debugging, computational research, or technical validation.
  • Published research in peer-reviewed journals, conferences, or other recognized academic or technical publications.
  • Experience evaluating AI-generated outputs, scientific content, technical analyses, or research methodologies.
  • Familiarity with AI model evaluation, output validation, research documentation, or structured evaluation frameworks.
  • Experience collaborating with cross-disciplinary, academic, industrial, or remote research teams.

Compensation

  • Competitive compensation of $65โ€“$100/hour.
  • Weekly payments.
  • Independent contractor engagement.

Application Process

  1. Easy Apply on LinkedIn
  2. Check Email for Next Steps
  3. Participate in Resume Evaluation & Interview Stage