*DEADLINE: January 1st, 2023*
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.
Best,
*Dr. Ignacio Segovia-Dominguez*
The University of Texas at Dallas
*NASA Jet Propulsion Laboratory, Caltech *
https://ignaciosd.github.io
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