Ph.D. position at University of Texas at Dallas, Data Security and Privacy Lab

Deadline: Jan. 1, 2023, midnight

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.

For the ongoing projects at the lab, we are looking for exceptional
Ph.D. students to join our team. Ideal candidates should have strong
knowledge in databases, data mining, machine learning 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 students who know some of the above subjects
listed above are encouraged to apply.  If you are interested in joining
our lab as Ph.D. student, please submit your CV, unofficial transcript and
additional information via the next form.


Ignacio Segovia-Dominguez, Ph.DThe University of Texas at Dallas
NASA Jet Propulsion Laboratory, Caltech

Categories: PhD,