ZipRecruiter

Log In

1

Postdoc In Network Science Jobs in Bakersfield, CA

next page

Showing results 1-20

All JobsPostdoc In Network Science JobsPostdoc In Network Science Jobs in Bakersfield, CA

Postdoc In Network Science information

See Bakersfield, CA salary details

$39.8K

$69.1K

$125.1K

How much do postdoc in network science jobs pay per year?

As of Aug 25, 2026, the average yearly pay for postdoc in network science in Bakersfield, CA is $69,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $80,100.00 per year, depending on experience, location, and employer.

What is a postdoc in network science?

A Postdoc in Network Science is a researcher who has completed their PhD and is engaged in postdoctoral research focused on the study of complex networks. This includes analyzing and modeling the interconnectedness of systems ranging from social networks to biological and technological networks. Postdocs in this field typically work at universities or research institutes, contributing to scientific projects, publishing research, and sometimes mentoring students. Their work often involves interdisciplinary collaboration, utilizing tools from mathematics, computer science, and physics. The position is usually temporary and intended to further develop research skills and expertise before moving into longer-term academic or industry roles.

What are the key skills and qualifications needed to thrive as a postdoc in network science?

To thrive as a Postdoc in Network Science, you need advanced expertise in mathematics, statistics, and network theory, typically supported by a PhD in a related field. Proficiency with programming languages such as Python or R, experience using network analysis tools (e.g., Gephi, NetworkX), and familiarity with data visualization and machine learning libraries are highly valued. Strong analytical thinking, effective scientific communication, and collaborative skills help you excel in interdisciplinary research environments. These competencies are crucial for producing high-impact research, advancing scientific understanding, and contributing meaningfully to collaborative projects.

What are the typical collaborative opportunities for a postdoc in network science within academic and interdisciplinary research teams?

As a Postdoc in Network Science, you will often work closely with researchers from various disciplines such as computer science, physics, biology, and social sciences. Collaboration is a key aspect of this role, as many projects require expertise in both network theory and domain-specific knowledge. You may participate in joint publications, grant proposals, and interdisciplinary workshops, which not only broaden your research impact but also help you build a diverse professional network. This collaborative environment fosters innovative approaches and can open doors to future academic or industry positions.

How hard is it to get a postdoc in network science position?

Securing a postdoc in network science typically requires a strong research background, relevant publications, and expertise in network analysis tools like graph theory and data modeling. Competition can be high, and candidates often need a Ph.D. in a related field, along with strong recommendation letters and research proposals.

What job categories do people searching Postdoc In Network Science jobs in Bakersfield, CA look for?

The top searched job categories for Postdoc In Network Science jobs in Bakersfield, CA are:

What cities near Bakersfield, CA are hiring for Postdoc In Network Science jobs?

Cities near Bakersfield, CA with the most Postdoc In Network Science job openings:

Postdoc In Network Science jobs near you
Infographic showing various Postdoc In Network Science job openings in Bakersfield, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $69,085 per year, or $33.2 per hour.

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

Synthires

Bakersfield, CA • On-site

$65 - $100/hr

Other

Re-posted 16 days ago

Job description

Postdoctoral Researcher – STEM

Position: Postdoctoral Researcher – STEM

Type: Contract

Compensation: $65–$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 $65–$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


Apply