Master Thesis: Motorcycle Driving Dynamics Features

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

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.