The University of Texas at Dallas (UTD) is a rising research powerhouse with eight schools and more than 140 academic degrees including top-ranked programs in business, engineering, science, audiology and
arts and technology.
At UTD Data Security and Privacy Lab, we focus on creating technologies that can efficiently extract useful information from any data without sacrificing privacy or security. We have been working on security and privacy issues raised by machine learning and AI, privacy issues in social networks, security issues in databases, privacy issues in health care, applied cryptography for data security, risk and incentive issues in assured information sharing, use of data mining and machine learning for fraud detection, botnet detection and homeland security. Recently, we have been focusing on security, accountability and privacy issues in machine learning, secure IoT data processing and using blockchains for assured data sharing, and graph neural networks for cybersecurity.
Please see a high level interview with lab director Dr. Murat Kantarcioglu on the lab’s research directions.
https://research.utdallas.edu/blog/qa-with-dr-kantarcioglu
For the ongoing projects at the lab, we are looking for exceptional candidates to join our team. Ideal candidates should have strong knowledge in machine learning, databases, applied cryptography, blockchains and cybersecurity. Excellent programming skills are also required.
We are aware of the fact that knowing all the subjects listed above is impossible for an undergrad student and even very difficult for a master student. Therefore, highly motivated PhD graduate / early career professional who know some of the subjects listed above are encouraged to apply. If you are interested in joining our lab as PostDoc Fellow, please fill-out next form.
Ignacio Segovia-Dominguez, Ph.DThe University of Texas at Dallas
NASA Jet Propulsion Laboratory, Caltech
www.IgnacioSD.com