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 digitisation. 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 Transport Technologies located in Vienna invites applications for a master’s thesis. The center encompasses several competence units that work on tomorrow’s improved transport solutions, including battery technologies, lightweight vehicles and safe and resilient infrastructures.

For this master’s thesis you will join our Competence Unit Transportation Infrastructure Technologies, which investigates and develops technology, methods and models to improve infrastructure resilience, durability and safety. Extending safe usage through optimal maintenance and finding adaptations to improve safety for all road users through experimentation and modelbuilding are our central goals. We work extensively with public and private partners in Austria and internationally to recommend and implement cutting edge technological improvements for infrastructure usage optimization. In the same vein we include considerations of environmental factors (noise, particle emissions in traffic) into our optimizations. The thesis will be supervised by partners at the Institute for Analysis and Scientific Computing at TU Vienna.

• For this master’s thesis you will investigate extensive time series of driving dynamics obtained from multiple motorcycle rides by multiple riders on given tracks.
• You will support us in working out characteristic features in driving dynamics that differentiate the different riders.
• You will investigate the possibility of using simulation software (like IPG Motorcycle maker) to use the obtained data for setting up simulations of motorcycle movements.

• Under the guidance of our researchers, you will implement model building approaches to extract characterizing features from motorcyclist data.
• With the support of our team, you will investigate the feasibility of simulating driver movements based on the characterizing features extracted before.
• You will explore different model-building approaches and criteria for selecting the most appropriate one with the guidance of our researchers.