Master Thesis “Characterizing features of Driving Dynamics on a Motorcycle Probe Vehicle”

AIT Austrian Institute of Technology; Wien; Vor Ort; EUR 12.086 - 16.338; Teilzeit

Benefits dieser Stelle

Canteen & meal allowance

Organic coffee, tea & fruit baskets

Preventive healthcare benefits

Company doctor

Additional days off for life events

Leisure subsidies

Voucher programme

Sports, culture & social events

Flexitime & home office

Zusammenfassung

AIT Austrian Institute of Technology in Vienna invites applications for a master’s thesis in the Center for Transport Technologies. Join our Competence Unit Transportation Infrastructure Technologies to work on time-series analysis, feature extraction, and simulation-driven research for safer, more efficient road transport.

The project runs for 6 months with a 20-hour-per-week schedule, compensated at 1,273 EUR gross per month according to the collective agreement.

Qualifikationen

• Ongoing master's studies in Technical Mathematics at TU Vienna.
• Good knowledge in R, Python, or MATLAB; willingness to adopt multiple languages as needed.
• Enjoyment of application-oriented questions of industry.
• Very good English or German skills (spoken and written). The thesis can be completed in either language.

Aufgaben

• Investigate extensive time series of driving dynamics from multiple motorcycle rides on given tracks.
• Identify characteristic features that differentiate riders using data analysis.
• Explore simulation software to set up motorcycle movement simulations.
• Develop model-building approaches to extract features from motorcyclist data under researcher guidance.
• Assess feasibility of simulating driver movements based on extracted features.

Kenntnisse

R

Python

MATLAB

English or German

Ausbildung

Ongoing Master’s in Technical Mathematics (TU Vienna)

Tools

IPG Motorcycle Maker

Jobbeschreibung

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.

CENTER FOR TRANSPORT TECHNOLOGIES

• 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.

Your Qualifications As An Ingenious Partner

• Ongoing master's studies in the field of Technical Mathematics at TU Vienna
• Good knowledge in R, Python, or MATLAB, willingness to adopt multiple of these languages as needed
• Enjoyment of application-oriented questions of industry
• High level of commitment and team spirit
• Very good English or German skills (spoken and written) - The thesis can be completed in either language

What To Expect

• Duration of the master’s thesis project: 6 months
• Start date: as soon as possible, with some flexibility depending on your availability
• EUR 1273 gross per month for 20 hours/week based on the collective agreement.
• Dedicated guidance and supervision from our experienced researchers, who will support you throughout your final thesis - from the initial concept to the final results.
• Highlights of our employee benefits include a canteen and meal allowance, organic coffee, tea and fruit baskets, preventive healthcare benefits and company doctor, additional days off for various life events, leisure subsidies, voucher programme, sports, cultural and socialising events, as well as flexitime models (incl. home office possibilities).

At AIT, we create an inclusive and family-friendly working environment that promotes equal opportunities and actively strengthens diversity across our workforce and in leadership positions. Among other initiatives, we are committed to increasing the proportion of women in our company and therefore particularly welcome applications from female applicants.

For Further Information Please Contact

Dr. Andreas Hula, andreas.hula(at)ait.ac.at