The AIR Lab for Secure and Efficient Systems specializes in cybersecurity research and development, with a focus on incorporating machine learning (ML), deep learning (DL), and artificial intelligence (AI) to enhance the capabilities of cybersecurity systems in identifying and mitigating threats. The undertaken research studies aim to address the challenges posed by evolving attack vectors, AI-enabled adversarial techniques, and resource constraints faced by defending organizations.
The AIR Lab is dedicated to developing advanced ML/DL techniques and AI-enabled frameworks to ensure the security and efficiency of cyber systems. The ongoing research investigations include:
The AIR Lab's mission is to advance the field of cybersecurity, through the research investigations, by generating new knowledge essential for safeguarding organizations from known and unknown threats. The lab's research sponsors include the Department of Homeland Security (DHS), the Department of Defense (DoD), and industry partners.
The AIR Lab team consists of Dr. Ankit Shah, five Ph.D. students, and other collaborating graduate students, faculty members, and researchers.
The AIR lab's areas of interest revolve around AI/ML for Cybersecurity. Please carefully go over the conducted research studies and the skills & collaboration expectations. If you are interested in joining the team, please apply below.
Skills expectations: fundamental knowledge of various machine/statistical learning algorithms, and ability to code fluently in a programming language (Python, preferred)
Collaboration expectations: excellent communication skills, team player, organized, and efficient
This is a short-term (up to one year) postdoc position. The candidate's Ph.D. must be in a related field from a U.S. university.
Apply NowThis position is open to Ph.D. students from the departments of Industrial Engineering, Electrical Engineering, and Computer Science and Engineering.
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