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About Carnegie Mellon University
Carnegie Mellon University is a leading private research university in Pittsburgh, Pennsylvania, internationally recognized for programs in computer science, engineering, business, the arts, and artificial intelligence. Industry: Higher Education & Research
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JOB TITLE: Security Researcher
The Security Researcher joins a team of experts in digital forensics, incident response, investigation, operations, and academic research. This role involves conducting applied research into the functionality of emerging and ubiquitous technologies across all logical layers, including component-level aspects, system and software implementations, and communication protocols. The researcher will examine variations between expected and actual functionality in real-world implementations and advise stakeholders on the implications of these findings. Key responsibilities include developing creative solutions, delivering rigorous prototype implementations, and analyzing network traffic or exploit development. Required skills include deep knowledge of Internet protocols, systems-level programming, UNIX/Linux experience, and familiarity with hardware and software vulnerabilities. Candidates should also possess experience with RF and SDR technologies to support technical research in the national security space.
Incident Response
Digital Forensics
Security Monitoring
SIEM
Endpoint Detection and Response
Vulnerability Management
Penetration Testing
Python
PowerShell
Go
Ruby
Perl
Java
C
C++
Linux
Windows
macOS
TCP/IP
Virtualization
E-Discovery
Public Key Infrastructure
Certificate Authority
Log Analysis
Threat Hunting
Malware Analysis
AI Red Teaming
Adversarial Machine Learning
Generative AI
Penetration Testing
Python
C#
C/C++
PowerShell
Kali Linux
Burpsuite
Nmap
Nessus
Vulnerability Research
Anomaly Detection
Threat Analysis
Software Development Lifecycle
Statistics
Predictive Analytics
Vulnerability Research
Offensive Security
Exploit Development
Reverse Engineering
AI
Threat Analysis
Anomaly Detection
Software Development Lifecycle
Large-scale Computing
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