Master Thesis: Motorcycle Driving Dynamics & Features

Bewerberportal

Town of Vienna (WI)

Hybrid

USD 14,000 - 17,000

Part time

14 days+

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Benefits offered by this job

Canteen
Meal allowance
Organic coffee
Fruit baskets
Preventive healthcare
Company doctor
Extra days off
Leisure subsidies
Voucher programme
Sports events
Cultural events
Social events
Flexitime
Home office

Job summary

AIT Center for Transport Technologies in Vienna invites applications for a master’s thesis. You will join the Competence Unit Transportation Infrastructure Technologies and work on characterizing driving dynamics features from motorcycle data, with supervision from researchers and collaboration with TU Vienna.

The project runs for 6 months, starting asap, 20 hours/week, with a monthly gross stipend of EUR 1,273 under the collective agreement.

Qualifications

  • Ongoing master's studies in Technical Mathematics at TU Vienna.
  • Good knowledge in R, Python, or MATLAB.
  • Very good English or German skills (spoken and written) – thesis can be completed in either language.

Responsibilities

  • Investigate extensive time series of driving dynamics obtained from multiple motorcycle rides by multiple riders.
  • Support in working out characteristic features in driving dynamics that differentiate the different riders.
  • Investigate the possibility of using simulation software (like IPG Motorcycle maker) to set up simulations of motorcycle movements.
  • Implement model-building approaches to extract characterizing features from motorcyclist data.
  • Investigate the feasibility of simulating driver movements based on the characterizing features extracted before.
  • Explore different model-building approaches and criteria for selecting the most appropriate one with guidance from researchers.

Skills

R
Python
MATLAB

Education

Master's student in Technical Mathematics (TU Vienna)

Job description

AIT Center for Transport Technologies in Vienna invites applications for a master’s thesis. You will join the Competence Unit Transportation Infrastructure Technologies and work on characterizing driving dynamics features from motorcycle data, with supervision from researchers and collaboration with TU Vienna.

The project runs for 6 months, starting asap, 20 hours/week, with a monthly gross stipend of EUR 1,273 under the collective agreement.

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