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Carnegie Mellon University in Arlington, VA; Pittsburgh, PA, seeks a network security researcher on the Network Situational Awareness team. You will research network threats to develop detection methods, tailor these for partner environments, and contribute to NetSA tool suite with new requirements and features.
You will also author publications and provide customer-specific training, using netflow data, application layer metadata, and evolving host-based and cloud telemetry to expand the team’s
Our team, within the Cyber Risk and Resilience Directorate researches, designs, and develops software tools for the collection, storage, and analysis of network data to provide security insights. We provide both the core network tools to facilitate this capability and prototypes of new methods to present the data most effectively. We work with data at a scale generally not experienced by most organizations, handling record counts in the tens of billions per day.
As a network security researcher on the Network Situational Awareness team, you will research network threats to develop methods of detection and tailor these for partner environments. Transition of this research will take the form of developing detection capabilities, providing new requirements and feature requests for our NetSA Security tool suite, writing publications, and providing customer‑specific training. The primary network data source for the team is netflow combined with application layer metadata, with an expanding focus on host‑based (e.g., EDR) and cloud telemetry.
You will be responsible for gaining insights from data to facilitate detections, working with partners to help them better understand their data and researching new data sources to expand the expertise of the team.
Exposure to translating threat intelligence to avenues for research, prototyping, and curation of detection capabilities.
Solid knowledge of network fundamentals, common application layer protocols, and network‑based telemetry.
Proficiency in at least one scripting or programming language such as Python, Go, Ruby, C, Java, or Scala.
Solid problem‑solving and analytical skills, detailed research, and ability to document and communicate ideas and findings to diverse audiences.
Hands‑on experience in a security research, threat hunting, detection engineering, or SOC Analyst role.
Some experience analyzing network telemetry such as netflow, application metadata, or PCAP from network sensors such as YAF, Zeek, Suricata, etc.
Exposure to cybersecurity data science methods and practices.
Awareness of open‑source and/or commercial Internet intelligence telemetry and datasets.
Awareness of the threat landscape and experience researching and investigating threats.
Experience presenting technical topics.
Arlington, VA; Pittsburgh, PA
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.