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Postdoc In Network Science Jobs in Pittsburgh, PA

Quality Life Services

Network Administrator

Butler, PA · On-site

Associate or Bachelor's degree in Information Technology, Computer Science, or related field preferred (or equivalent experience). * Strong understanding of networking fundamentals, including TCP/IP ...

Quality Life Services

Network Administrator

Butler, PA · On-site

Associate or Bachelor's degree in Information Technology, Computer Science, or related field preferred (or equivalent experience). * Strong understanding of networking fundamentals, including TCP/IP ...

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Postdoc In Network Science information

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$37.4K

$64.9K

$117.5K

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

As of Jul 13, 2026, the average yearly pay for postdoc in network science in Pittsburgh, PA is $64,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $75,200.00 per year, depending on experience, location, and employer.

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 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 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.
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Postdoc In Network Science jobs near you
Post-Doctoral Associate

Post-Doctoral Associate

Carnegie Mellon University

Pittsburgh, PA • On-site

$47K - $64K/yr

Full-time

Re-posted 14 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

56th of 553 rated colleges and universities

Job description

Description
The Software and Societal Systems Department, in the School of Computer Science, at Carnegie Mellon University is looking to hire two Post-Doctoral Associate who are interested in applying computational social science approaches to the study of online harms. Ongoing projects in which these postdocs will be involved include - assessment of influence campaigns and measuring their impact, meme analysis, online threat detection, assessment of techniques for countering information maneuvers, differences in online harms and influence campaigns across countries, geo-spatial differences in online harms. Successful applicants will need experience in either or both agent-based modeling and social network analysis/network science. The ideal candidate should be able to program in C or C and have experience working with tera-bytes of data. Preference for those who can also program in Python and know standard network analysis techniques and metrics such as community detection and centralities. Prefernce for those with experience in geo-spatial analysis, assessment of images, or assessment of memes. Preference for those with experience working with large scale data, millions of actors and messages. Successful candidates will work on at least two related agent-based simulation and empirical analysis projects, develop and run virtual experiments, analyze existing social media data, document results, write papers with Dr. Carley and possibly relevant PhD students, and present those results in the IDeaS conference. Candidates should be interested in studying behavior where the media posts are in non-English languages i.e. Chinese and Russian.
Qualifications
• Must have a PhD in STEM Field (including computational or mathematical social science).
• Ability to program in C and Python.
• Must know basic statistics.
• Experience in social network analysis.
• Experience using, building, validating and working generally with ABM's.
• Excellent writing skills for academic writing.

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