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Postdoc In Network Science Jobs (NOW HIRING)

Bachelor's degree in Computer Science, Information Technology, or a related field. * Relevant certifications (e.g., CCNA, CCNP, CompTIA Network+, or equivalent). * Minimum of 5 years of relevant ...

Postdoc, Formulation Science

Menlo Park, CA ยท On-site

$69.89K - $8.74M/yr

The Postdoc position will work onsite in our Menlo Park, CA office. * Development, tech-transfer ... Report and present scientific/technical results internally and to external clients * Contribute to ...

Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). * 7+ years of experience in network and cloud engineering with a focus on Windows ...

PhD or postdoc in cognitive neuroscience, neuroengineering, or a similar science or engineering field * Strong neuromodulation and neurophysiology first principles * Experience with brain stimulation ...

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Postdoc In Network Science information

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$38.5K

$66.8K

$121K

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

As of May 31, 2026, the average yearly pay for postdoc in network science in the United States is $66,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $77,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Postdoc in Network Science, and why are they important?

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.

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.
More about Postdoc In Network Science jobs
What cities are hiring for Postdoc In Network Science jobs? Cities with the most Postdoc In Network Science job openings:
What states have the most Postdoc In Network Science jobs? States with the most job openings for Postdoc In Network Science jobs include:
Infographic showing various Postdoc In Network Science job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $66,802 per year, or $32.1 per hour.

Network Engineer

RecruitTalent LLC.

Suffolk, VA โ€ข On-site

Contractor

Posted 8 days ago


Job description

Job Summary:
We are seeking a talented and certified Network Engineer to join our team onsite in Suffolk, VA. The ideal candidate will be responsible for designing, implementing, and maintaining our network infrastructure to ensure optimal performance and security. A Bachelor's degree in a relevant field is required, along with a minimum of 5 years of relevant experience in network engineering. Candidates must also be comfortable undergoing a background check.

Key Responsibilities:

  • Design, configure, and maintain network systems, including LAN, WAN, and VPNs.
  • Monitor network performance and troubleshoot issues to minimize downtime.
  • Implement and manage network security measures, such as firewalls and intrusion detection systems.
  • Collaborate with IT teams to ensure seamless integration of network systems.
  • Develop and maintain network documentation, including diagrams and configurations.
  • Stay updated on emerging technologies and recommend improvements to the network infrastructure.
  • Provide technical support and guidance to team members and end-users.
  • Ensure compliance with organizational policies and industry standards.

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Relevant certifications (e.g., CCNA, CCNP, CompTIA Network+, or equivalent).
  • Minimum of 5 years of relevant experience in network engineering.
  • Proven experience in network engineering and troubleshooting.
  • Strong understanding of network protocols, architecture, and security measures.
  • Ability to work onsite in Suffolk, VA.
  • Willingness to undergo a background check.

Preferred Skills:

  • Experience with cloud-based networking solutions.
  • Familiarity with network diagnostic tools and techniques.
  • Strong problem-solving and communication skills.