Assistant Professor

The Department of Computer Science at Kansas State University invites applications for a tenure-track Assistant Professor position in Cybersecurity. We seek outstanding candidates with fundamental/foundational cybersecurity research expertise applied to research areas such as energy, formal methods, cyberphysical systems, and artificial intelligence (Al). The successful candidate will pursue a cybersecurity-focused research agenda, will contribute to cybersecurity education, establish internal and external research collaborations, and attract external funding for a self-sustaining research program.

Be a part of our robust cybersecurity research environment with access to cutting-edge computing and hardware-in-the-loop simulation infrastructure.
Join our multi-disciplinary cybersecurity center providing cross-department and cross-college connections and strong research incentives.
Enjoy opportunities to collaborate with federal agencies, national labs, and industry partners.
Find your home in our supportive department with a commitment to interdisciplinary and applied research.
Experience the comfort of living in Manhattan, Kansas-a vibrant university town with a low cost of living and high quality of life.

This position is On-site
.

All employees must reside in the United States when they begin working to comply with state law. K-State is unable to provide remote or hybrid work opportunities for residents of the state of Idaho.

Minimum Qualifications:

• Ph.D. in Computer Science, Computer Engineering, or a closely related field (completed by the start date).
• Demonstrated research expertise in cybersecurity.
• Strong publication record in high-quality venues.
• Commitment to excellence in teaching and mentoring.
• Effective communication and teamwork skills.

The degree requirement is necessary for accreditation purposes and to ensure candidates possess the specialized knowledge, skills, and abilities that can only be attained through a formal educational program at this level.

Preferred Qualifications:

• Background in formal methods.
• Experience with hardware and/or software forensics, and/or reverse engineering, and/or malware analysis.
• Experience with cybersecurity in energy systems, smart grids, and/or critical infrastructure.
• Experience at the intersection of cybersecurity and machine learning and/or Al.
• Experience collaborating with industry, government agencies, or national laboratories.
• Evidence of successful grant writing and securing research funding.

Sponsorship eligibility:

This position is eligible for sponsorship.

$100,000-$115,000