SERG – Paper Publication – Univ.-Prof. Martin Pinzger

The paper ‘A Cryptography-Powered Infrastructure to Ensure the Integrity of Robot Workflows‘ written by Benjamin Breitling, Bernhard Dieber, Martin Pinzger und Stefan Rass has been published in the Journal of Cybersecurity and Privacy.
Univ.-Prof. Dipl.-Ing. Dr. Martin Pinzger is the leader of the Software Engineering Research Group (SERG) and the head of the Department of Informatics Systems (ISYS).
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SERG – Best Reviewers of 2020 for the Journal of Systems and Software

Dipl.-Ing. Dr. Christian Macho was named among the best reviewers of 2020 for the Journal of Systems and Software.
In the context of a journal, unlike a traditional conference, reviewers contribute substantially to the ultimate quality of papers that are published.
Dr. Macho is a postdoc (tenure track) in the Software Engineering Group (SERG) led by Prof. Martin Pinzger.
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High-precision localization: New technology developed in Klagenfurt has international potential

Major smartphone manufacturers like Apple want to help us when it comes to quickly locating small devices that we can attach to our key rings or backpacks. The underlying technology promises great potential for industrial and logistic applications. Researchers at the University of Klagenfurt have developed a technology that works up to 60 times faster and 40 times more precisely.

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PhD Students in Cybersecurity wanted!

The Cybersecurity Research Group – hosted at the university’s Digital Age Research Center (D!ARC) – is seeking to fill the post of a Phd-student within the area of Side Channel Resistent Embedded Systems.

The Cybersecurity Research group has been established with a clear interest in finding and eliminating information leaks in the context of embedded devices (they often exhibit a number of so called side channels). In this particular setting, the research team – led by Prof. Elisabeth Oswald – has developed a range of techniques that integrate well in a typical software flow and make leakage information transparent to a developer.

Currently, the group consists of one further lecturer, three postdocs, and two further PhD students who work in the areas of cryptography, statistical machine learning, embedded security, artificial intelligence and deep learning as well as crypto engineering.

The purpose of this studentship is to build on the existing work and add novel ideas including the automated tracing of leaks from lower-level code representations to the description in a higher-level language, the development of code transformation techniques to mitigate leaks automatically, etc. The successful applicant will work closely with Prof. Oswald and will develop into a researcher/engineer with a profound understanding of the challenges of leakage resilient development.

Requirements:

✓ Master’s level qualification in informatics, mathematics or other technical sciences
✓ strong background in embedded systems
✓ some background in low level programming and embedded systems
✓ Very good language skills in English (German optional)
✓ Willingness to work within an international team

The vacancy shall be filled as soon as possible.
If you are interested in this opportunity please consider applying with your CV and a motivational letter to elisabeth [dot] oswald [at] aau [dot] at