Master’s thesis in cooperation with AIT

Topic: „Spatiotemporal Hotspot Analysis for Movement Data“

Content of Master’s Thesis

  • Data describing the movement of people, vehicles, animals, or other objects combine both spatial and temporal characteristics.
  • As part of this master thesis, you will deal intensively with the topic of detecting spatiotemporal hotspots in movement data.
  • You will learn to conduct literature research on statistical spatiotemporal hotspot analysis.
  • You will review existing implementations of spatiotemporal hotspot analysis and assess the gap that needs to be bridged to apply spatiotemporal hotspot analysis to movement data.
  • You will support our researcher team in implementing a spatiotemporal hotspot analysis for floating car data using open source libraries.
  • Your results will be integrated into our team’s movement data analysis toolbox.
  • You will gain experience in spatiotemporal statistical analysis.
  • You will have the opportunity to publish in a professional journal and/or present at a conference.

Your profile

  • Ongoing master’s studies in the field of transportation research, data science, statistics or similar
  • Experience performing data analysis using Python
  • Very good command of German or English (spoken and written)

Offer by AIT

  • EUR 779,- gross per month for 20 hours/week based on the collective agreement. There will be additional company benefits.
  • You will be part of our international Young AIT network. As a research institution, we are familiar with the supervision and execution of master theses and we are looking forward to supporting you accordingly
  • At AIT, the promotion of women is important to us – that’s why we are especially looking forward to applications from female students.

Contact person and co-supervisor @ AIT: Anita Graser:

Thesis topic as PDF

Thesis topic in TISS

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