Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
technologies. Preferred Qualifications: Post-quantum cryptography and quantum‐secure systems engineering; Secure and trustworthy AI/ML systems; Quantum communications and quantum network security; Hardware trust
-
Institute . It is embedded in the Discrete Mathematics cluster , offering close connections with researchers in applied algebra, cryptography, number theory, and geometry. The ideal candidate will bring
-
of cybersecurity including, but not limited to, symmetric and public-key cryptography, post-quantum cryptography, quantum algorithms in cryptography, or a closely related area. Responsibilities for this position
-
research encompasses a broad spectrum of areas. This includes technical foundations such as secure systems, software and network security, cryptography and cryptographic engineering, AI security, and
-
knowledge in several of the following areas: operating systems, computer systems architecture, cryptography, databases, networks Proven didactic skills Experience in scientific publishing This vacancy is open
-
-based). 7. Plans and implements defense in-depth system security, including modifying and working with firewalls, applying cryptography to network applications, managing host security, file permissions
-
The Project Manager is a two-year, renewable, term role that provides project and financial management support for the Privacy and Cryptography Lab in the Computer Science Department within the College
-
quantum security, post-quantum cryptography/system and security practice in general has been considered as important technologies which are indispensable to future network society built by quantum
-
that also overlap with security (e.g., algorithms in the field, cryptography) are encouraged to apply. As per CSRankings.org, WSU is ranked in the Top 20 in design automation, Top 50 in cryptography
-
Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role Large vision-language models (LVLMs) can describe driving scenes and support decisions [Li25], but