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.

Please contact Elisabeth [dot] Oswald [at] aau [dot] at for informal inquiries

Luftbild

Luftbild | Foto: LakesideLabs

and to submit your application.

Open Position: Student Researchers / Developers 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 for support with its ongoing projects via paid student researchers. You could work for us some months, e.g. during the summer (via an internship), or join us for longer (only part-time). We consider students both on bachelor and master courses,provided they are in the areas of computer science, computer engineering, mathematics (if it includes some programming), or statistics/data science (provided you can at least do some scripting).

You do not need to be based in Klagenfurt, working from home is possible.

The projects that we are looking to support require skills in (either)

  • compilers/languages to support the secure implementation of cryptographic primitives, including the use of formal verification tools,
  • machine/deep learning
  • secure implementations (low-level programming, e.g. ARM assembly, RISC-V assembly)
  • software development (C++)

You will work with young scientists from across the globe (the current group members are from France, Iran, India and China), so good English language skills are vital too.

We will appoint multiple researchers, and the starting date is flexible.  Applications will be considered on a rolling basis. To apply please send a brief motivation letter, your CV, and transcripts of records of your MSc/BSc to the contact below.

The rates will depend on your highest level of education: they are at € 1.073,10 per month for a part-time employment.

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

Digitalisierung

Digitalisierung | Foto: Freepik

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

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

Master Thesis: “Goal Reasoning and Action Planning under Dynamics and Uncertainty”

Exogenous changes, sensing information and human-robot interaction turn plan generation and execution for autonomous intelligent agents into inherently dynamic and recurring tasks. First of all, multiple and sometimes conflicting goals need to be prioritized, where the success chances of plans for achieving the goals need to be taken into account. Moreover, plans may be based on sensing information, where the information acquisition and predictive evaluation of possible outcomes must be incorporated into the planning process. In multi-agent decision making, which particularly includes human-robot collaboration, reasoning about the capabilities, knowledge and goals of other agents is important to coordinate joint operations. Last but not least, real-world scenarios are subject to exogenous and often unpredictable changes in the environment; e.g., autonomous vehicles must constantly monitor the traffic to take safe actions.

In the light of these challenges, the goal of the Master thesis is to develop a demonstrator for dynamic goal reasoning and action planning in a selected application scenario from the robotics domain. The Master thesis will be co-supervised by members of the Department of Artificial Intelligence and Cybersecurity at the University of Klagenfurt and the JOANNEUM RESEARCH Robotics Institute at the Lakeside Science & Technology Park. This collaboration offers a unique opportunity to showcase Artificial Intelligence methods for planning and optimization in a practically relevant robotics environment, set up in simulation or even physically.

The following are some (incomprehensive) literature references, which can be consulted as a starting point for getting better intuition of the Master thesis topic and relevant research targets:

  • M. Rizwan, V. Patoglu, E. Erdem. Human Robot Collaborative Assembly Planning: An Answer Set Programming Approach. Theory and Practice of Logic Programming, 20(6): 1006-1020, 2020. https://arxiv.org/abs/2008.03496
  • B. Schäpers, T. Niemueller, G. Lakemeyer, M. Gebser, T. Schaub. ASP-Based Time-Bounded Planning for Logistics Robots. International Conference on Automated Planning and Scheduling, 2018. https://www.aaai.org/ocs/index.php/ICAPS/ICAPS18/paper/download/17777/16944
  • P. Mazdin, M. Barcis, H. Hellwagner, B. Rinner: Distributed Task Assignment in Multi-Robot Systems based on Information Utility. International Conference on Automation Science and Engineering, 2020. https://ieeexplore.ieee.org/document/9216982
  • B. Reiterer, M. Hofbaur. Opportunistic Planning with Recovery for Robot Safety. German Conference on Artificial Intelligence, 2017. https://link.springer.com/chapter/10.1007/978-3-319-67190-1_31

The Master thesis topic is suitable for students of Applied Informatics, Artificial Intelligence and Cybersecurity, Information Technology or Information Management. For further information, please contact Univ.-Prof. Dr. Martin Gebser (Martin [dot] Gebser [at] aau [dot] at), research group for Production Systems.

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

 

 

 

Studienassistenz (7h/Woche) gesucht !!!!

Die AAU Klagenfurt / TeWi – Abteilung Artificial Intelligence und Cybersecurity – sucht ab März 2021 eine Studienassistentin (7 h/Woche).

Aufgaben:

Umstellung der PPTX-Folien von Systemsicherheit auf LaTeX und Erweiterung und Pflege der SPU-Fragen für “Algorithmen und Datenstrukturen”, “Einführung in die theoretische Informatik” und “Systemsicherheit”

Erwünscht sind:

– Deutschkenntnisse

– Genauigkeit

– Verlässlichkeit

– Organisationstalent und die Bereitschaft zur raschen Einarbeitung.

Formlose Bewerbungen an Peter Schartner erbeten.

From Applied Informatics to Artificial Intelligence and Cybersecurity

From January 1, 2021, we have changed our official name into Department of Artificial Intelligence and Cybersecurity. The old name (Department of Applied Informatics) was somewhat unspecific, and the new name should reflect the majority of work carried out at the department. The downside is of course that it does not perfectly cover all activities that are going on (but also in the past the department had some significant theoretical output, despite its name).
Maybe you have noticed that there is a new MSc programme of the same name (https://www.aau.at/en/studien/master-artificial-intelligence-and-cybersecurity/) – the interesting bit is that the same name was suggested independently for these two entities, but the department is also the main driving force behind the programme.

Master’s Thesis: Development of a software environment for an online study in management

Topic

The master thesis will contribute to an experimental research study carried out at the Department of Management Control and Strategic Management. You will work on the platform for an interactive online experiment that involves human decision makers in a laboratory setting. The focus of the experimental study is in the field of task formation in a complex environment. 

Timing

As soon as possible upon individual agreement

Prerequisites

Strong programming skills

Supervision of the master thesis

Univ.-Prof. Dipl.-Ing. Dr. Dietmar Jannach
(dietmar [dot] jannach [at] aau [dot] at)

Department of Applied Informatics

Project team

Assoc. Prof. Dr. Alexandra Rausch
(alexandra [dot] rausch [at] aau [dot] at)

Assoc. Prof. Dr. Stephan Leitner
(stephan [dot] leitner [at] aau [dot] at)

Department of Management Control and Strategic Management