The Cybersecurity Group at the College of IT, United Arab Emirates University invites applications for a Postdoctoral Fellow position in an innovative research project focused on AI-enabled binary analysis and cyber threat intelligence. This is an exceptional opportunity to work at the forefront of cybersecurity research, combining deep learning methodologies with classical program analysis techniques to address critical challenges in malware detection and IoT security.

• PhD completed in Information Security, Information Systems, Computer Science, Computer Engineering, or closely related field • Strong academic record from a rigorous graduate program with demonstrated research excellence

• Design, develop, and implement deep learning models for binary code analysis and malware detection • Integrate classical program analysis techniques with modern AI/ML approaches • Conduct reverse engineering of malicious executables using industry-standard frameworks • Establish experimental benchmarks for evaluating binary analysis methodologies • Collaborate with a dynamic team of over 30 graduate students and staff on interdisciplinary cybersecurity research • Publish research findings in top-tier security conferences and journals • Contribute to the development of open-source tools, plugins, and research infrastructure • Mentor graduate students and contribute to the vibrant research culture of the cybersecurity group

• Deep Learning: Expertise in neural network architectures, training methodologies, and their application to security problems (strongly preferred) • Binary Analysis: Proficiency in reverse engineering, program analysis, and malware examination (strongly preferred) • Reverse Engineering Tools: Working knowledge of at least one major framework including IDA Pro, OllyDbg, Ghidra, Binary Ninja, or similar platforms • Programming Skills: Strong coding abilities in Python, C/C++, or other relevant languages • IoT and android expertise • System Building: Experience in developing research prototypes, security tools, or experimental infrastructure (highly favorable) • Applied Cryptography: Background in cryptographic implementations or security protocol analysis (favorable)

30/06/2026