The AIT Austrian Institute of Technology is Austria’s largest Research and Technology Organisation (RTO). We aim to transform scientific excellence into innovation with impact. Together with our partners, we develop technologies and solutions for a sustainable, resilient, and digitalised future, strengthening Europe’s competitiveness and technological sovereignty. Our international teams combine cutting-edge research with strong implementation expertise to create measurable value for industry and society.

Our Center for Digital Safety & Security invites applications for master’s theses at our location in Vienna (Giefinggasse, 1210). At the Center for Digital Safety & Security, we conduct research into a wide range of key technologies such as distributed IT systems, the Internet of Things (IoT), cybersecurity, data science, artificial intelligence (AI), blockchain technologies, quantum and photonic technologies, wireless systems (6G) and digital solutions for crisis and disaster management.

Our Research Field Cyber Security , which forms part of the Cyber Security & Communication Technologies Competence Unit, specialises in applied research in the field of digital security and is pioneering the development of highly innovative concepts, algorithms and systems for anomaly detection, cyber-threat analysis, penetration testing and cryptography. Using our groundbreaking technologies, we simulate modern ICT and OT infrastructures as well as cyber-attacks.

• We are looking for motivated and enthusiastic master’s students to join our team for a period of six to eight months. The ideal candidate has a solid background and a strong interest in one or more areas relevant to cyber security, such as
• (1) data science and data analysis,
• (2) software development and systems engineering, or
• (3) machine learning and artificial intelligence.
• You will work closely with our senior researchers to further develop and enhance open-source solutions for areas such as log-data analysis for intrusion detection, cyber threat intelligence processing, and the dynamic provisioning of complex IT infrastructures.
• Guided by our interdisciplinary team, you may apply modern data-driven methods to process, analyse, and interpret log data for indications of cyber attacks.

• Alternatively, you may focus on natural language processing (NLP) techniques and large language models (LLMs) for the automated processing and analysis of cyber threat intelligence feeds.
• As a cyber security enthusiast, you will contribute directly to our projects, academic publications, and open-source code bases, helping to strengthen the European cyber security ecosystem.
• You will further develop your scientific research skills and have the opportunity to exchange ideas with leading experts and experienced researchers in the field.
• You will gain first-hand insights into how a research organisation collaborates with customers and industry partners to address real-world cyber security challenges.