Open Position: Postdoctoral Research in Cybersecurity

The Cybersecurity research group (https://cybersecurityresearch.at/), headed by Prof. Elisabeth Oswald, is a relatively new group established in Austria’s sunny south. The group currently features a diverse range of members (from France, Iran, India, and China).

Current members work on topics such as leakage profiling, advanced leakage simulators, attacks (utilizing deep learning), statistical foundations, and hardware aspects of side channels. The group receives funding from the ERC, as well as local funding, and thus offers a supportive research environment (both financially as well as from a human perspective).

The group is looking to grow by one post-doctoral researcher and is particularly keen to expand their existing coverage of topics and  seeks researchers with an interest in (any of the following areas)

  • compilers/languages to support the secure implementation of cryptographic primitives
  • machine/deep learning
  • secure implementations (in particular in the context of RISC-V)

A good candidate for this position will have a background in either computer science, maths, or statistics (an MSc level degree with above-average grades is required), will have some relevant publications in any of these subjects in international conferences or journals, enjoy working with people in an international context, and love water, sun, and mountains.

The position is available immediately, applications will be considered on a rolling basis and we will fill the vacancy as soon as a suitable candidate is identified. To apply please send a brief
motivation letter, your CV, and transcripts of records of your MSc and BSc to the contact below.

The position has funding until 31.08.2023 at € 3.945,90 per month.

Luftbild

Luftbild | Foto: LakesideLabs

Please contact Elisabeth [dot] Oswald [at] aau [dot] at for informal enquiries and to submit your application.

Master in Artificial Intelligence and Cybersecurity

Interested in the future of technology? Then this jointly-run MSc programme might be the perfect fit for you! The universities of Klagenfurt and Udine collaborate to offer this highly focused program on the core subjects of Artificial Intelligence and Cybersecurity with an additional emphasis on the social, ethical and legal aspects that arise in practice.

The MSc in Artificial Intelligence and Cybersecurity is a two-year taught programme. It consists of three semesters of taught courses followed by a research project leading to the submission of a thesis and its defence at the end of the fourth term.

Over 50 students from all around the globe registered in the premiere of this MSc in October 2020 (all lectures were held online). The hands-on classes, the profound theoretical inputs as well as the multidisciplinary approaches were the major cornerstones making this first semester a huge success.

The application for the summer semester of 2021 is now open and students who are interested in this MSc will find more information here:

https://www.aau.at/en/studien/master-artificial-intelligence-and-cybersecurity/

Master Thesis: “Predictive Analytics for Price and Demand Forecasting”

Modern business enterprises are facing complex market, resource and workforce management requirements, involving highly differentiated and dynamic processes, supply chains and demands. Artificial Intelligence (AI) technologies from the fields of Data Mining, Machine Learning and Recommender Systems are getting more and more pervasive to support strategic planning and decision making. The goal of this Master thesis is to perform a systematic investigation of major application areas and key AI technologies constituting the state of the art in predictive analytics for price and demand forecasting in energy, producing and service industries.

The Master thesis topic is suitable for students of Information Management or Applied Informatics. Depending on the specific focus the Master thesis takes, the supervision will be coordinated between:

  • Univ.-Prof. Dr. Martin Gebser
  • Univ.-Prof. Dipl.-Ing. Dr. Dietmar Jannach
  • Assoc.-Prof. Dipl.-Ing. Dr. Erich Christian Teppan
  • Postdoc-Ass. Dr. Christian Wankmüller

For further information, please contact Univ.-Prof. Dr. Martin Gebser (Martin [dot] Gebser [at] aau [dot] at), research group for Production Systems.

 

The following are some (incomprehensive) literature references, which can be consulted as a starting point for going more in depth or broadness while the Master thesis evolves:

  • P. Schwarenthorer, A. Taudes, J. Hunschofsky, C. Magnet, M. Tschandl: Increased Company Performance through Macroeconomics Sales Forecasting: A Case Study. Journal of Japanese Operations Management and Strategy 10(1): 1-17, 2020
  • M. Seyedan, F. Mafakheri: Predictive Big Data Analytics for Supply Chain Demand Forecasting: Methods, Applications, and Research Opportunities. Journal of Big Data 7: Article 53, 2020
  • B. Wu, L. Wang, S. Lv, Y. Zeng: Effective Crude Oil Price Forecasting using New Text-based and Big-Data-driven Model. Measurement 168: Article 108468, 2021
  • N. Ludwig, S. Feuerriegel, D. Neumann: Putting Big Data Analytics to Work: Feature Selection for Forecasting Electricity Prices using the LASSO and Random Forests. Journal of Decision Systems 24(1): 19-36, 2015

Hello from the Cybersecurity research group!

Established within the university’s Digital Age Research Center (D!ARC) the Cybersecurity research group goes into it’s second year of activities. The group’s research areas are based within cryptography, statistical machine learning, embedded security, artificial intelligence and deep learning as well as crypto engineering.

The group’s main expertise is in the area of deployment aspects of cryptography. Such aspects are related to information leakage (via side channels), and the detection and prevention of such channels; practical cipher constructions for specific application areas; secure implementation techniques and tools; and the application of machine learning and deep learning in the context of cybersecurity.

The Cybersecurity research group is currently running an ERC funded Consolidator Grant project, titled SEAL („Sound and Early Assessment of Leakage for Embedded Software“). It tackles the challenge to developed tools that are sophisticated enough to predict a range of side channel leakage behaviours for modern processors.

In the last months the team has grown to the number of ten. Currently the group consists of one professor, one lecturer, three postdocs, three PhD students, one technician and one administrator. The group represents five different countries, making work and communication a truly international and cultural experience.

You will find more information here:
www.aau.at/digital-age-research-center/cybersecurity/

And here:
www.cybersecurityresearch.at/

If you are interested to explore collaborations in any shape or form, let’s talk!
Please email to Elisabeth [dot] Oswald [at] aau [dot] at