Open postdoc positions
We at the
Secure Systems group at the University of Waterloo are looking for a postdoctoral researcher specializing in the security and privacy of machine learning and artifical intelligence.
We have several graduate students, who are part of the Secure Systems Group at the
University of Waterloo and at
Aalto University, working on both security/privacy of AI and the use of AI to design security/privacy solutions. Example recent topics include
model extraction,
adversarial examples,
watermarking,
oblivious model evaluation,
detecting vulnerable/compromised IoT devices, and
detecting phishing websites.
As is typical in systems security, our work covers both offensive and defensive aspects. Visit our
MLSec research page for mode details on recent research.
The postdoc will help lead this research theme by working with the graduate students on selected topics.
The group also works on other thematic areas, notably
platform security. A candidate who is interested in exploring the interplay between platform security and AI would be particularly welcome!
About Secure Systems
The positions are in projects led by
N. Asokan. Asokan is a Professor at the University of Waterloo where he holds a David R. Cheriton Chair. He is also an Adjunct Professor at Aalto University. He joined academia after a
long career as a security and privacy reseracher in leading industrial
research laboratories. The mission of the group is to find ways of
designing systems that are simultaneously secure, easy-to-use, and
inexpensive to deploy. The group is part of
ICRI-CARS, the Intel Institute focussing on securing autonomous systems.
We have been publishing and presenting our work in top tier
security (like Usenix Security, ACM CCS and NDSS), privacy (like PETS) and systems
conferences (like DAC, ICDCS). As a systems
security group, we believe in building (and breaking) things. As a
result, we also demonstrate our work in high profile industry events
(like BlackHat Europe and CeBIT). We collaborate with top security
researchers from academia and industry around the world.
At the University of Waterloo, the Secure Systems group is part of the Cryptography, Security, and Privacy (CrySP) research area. CrySP currently has seven (and counting!) faculty members and over 30 graduate students, working on a wide range of topics. University of Waterloo ranks first in Canada for security and privacy research and is among the best in the world.
About these positions
As a postdoctoral researcher, you will help lead our activities in AI security and privacy. You will be working with Prof. Asokan and
talented doctoral and master's students involved in these activities which
span multiple on-going projects, sponsored by public funding bodies like NSERC as well as leading technology companies like Intel.
Required qualifications
You have a profound understanding of basic ML techniques and have prior experience using them in non-trivial applications. You also have a good grasp of system security concepts in general. You have prior research experience as evidenced by publications in top notch venues. Prior research experience in security and privacy concerns in ML-based systems is not an absolute requirement, but is a strong plus.
In addition to subject matter expertise, you
- are excited about applying these skills to solve practical problems,
- are eager write code and run experiments to test your ideas, and
- have excellent oral and written communication skills in English.
If you are interested in this position,
drop a message to Asokan
with your current CV and a description of why you
think you are a good fit.
Last modified: Tue, 20 Oct 2020 19:31:06 +0000