As Austria's largest research and technology organisation for applied research, we have set ourselves the goal of making substantial contributions to solving the major challenges of our time, climate change and digitalisation. To achieve our goals, we rely on our specific research, development and technology competencies, which are the basis of our commitment to excellence in all areas. With our open culture of innovation and our motivated, international teams, we are working to position AIT as Austria's leading research institution at the highest international level and to make a positive contribution to the economy and society.

Our Center for Digital Safety & Security located in Vienna invites applications for an internship. Our experts from the Center for Digital Safety & Security are developing state-of-the-art information and communication technologies to ensure that our systems are highly secure and reliable in the context of comprehensive digitalisation and global networking – Hereby we focus on a variety of key technologies like Distributed IT Systems, Internet of Things, IoT, Cybersecurity, Data Science, Artificial Intelligence (AI), Blockchain Technologies, Quantum & Photonic Technologies, Wireless Systems (6G) and Digital solutions for crisis & disaster management.

Our research field Dependable Systems Engineering (DSE) within the Competence Unit “Security and Communication Technologies” is working on developing methodologies, tools and standards for increasing, verifying and validating the dependability of software and systems – during conception, development, certification and operation. Concretely, we focus on the development of innovative methods for verification, runtime verification and testing of autonomous systems.

• Under the guidance of our interdisciplinary team, you will work on the verification and/or testing of Cyber Physical Systems, including the use of advanced machine learning and concepts from the field of artificial intelligence.
• In collaboration with the team, you will support the development of new solutions for testing, anomaly detection and the automated optimisation of Cyber Physical Systems.
• You will analyse and investigate sensor data and time series for the detection of anomalies and fault sources.

• You will help to implement machine learning and automated optimisation strategies to improve the functionality and reliability of Cyber Physical Systems.
• You will have not only the opportunity to discuss your work experiences and results with experienced scientific peers, but also to connect with other bachelor’s, master’s or PhD students.