As Austria's largest research and technology organisation for applied research, we are dedicated to make 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 is looking for new Ingenious Partner for our location in Vienna. In the Center for Digital Safety & Security we develop 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.

Our experts from the Competence Unit Cooperative Digital Technologies work on the development of data-based IT solutions for various application scenarios, including the design of new and innovative solutions supporting communities in increasing their resilience and achieving their sustainable development goals (SDG). As a reliable partner of industry and public authorities, we work on digital tools for a sustainable and resilient society based on current research results and in collaboration with end users and our customers.

The focus of our applications is on safety-relevant sensor systems for railways and roads.

• You are part of an interdisciplinary team and contribute to setting up, expanding, and improving our efforts to ensure the safety of critical rail and road infrastructures.
• You are contributing to the continuous improvement of our solutions for the implementation of new safety-relevant distributed fibre optic sensor technologies for rail and road infrastructures.
• Under the guidance of our team, you research and develop data processing, and scalable machine learning methods for the entire processing chain, from data acquisition, analysis, and information extraction to the interactive, user-friendly presentation of the results.

• You support us in our international projects and get exciting insights into our technological environment.
• 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.