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Masterthesis (f/m/x) - Visualizing Evolving Uncertainty in Geospatial Maps
Job Description
Req ID:  4143
Place of work:  Braunschweig
Starting date:  Zum nächstmöglichen Zeitpunkt
Career level:  Student research project and final thesis
Type of employment:  Part time, Full-time
Duration of contract:  3-6 Monate

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 12,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

Short Description of Institute/Facility -  Please insert text

The Research Project

Visualizing multivariate data on geospatial maps is a challenging task. Common approaches include bivariate choropleth maps, glyph overlays, cartograms, or combinations of these techniques. Incorporating uncertainty, especially when it changes over time, further increases the complexity of the visualization. The expected outcome of this thesis is to explore these approaches and develop a method that can effectively show continuously evolving uncertainty in multivariate geospatial data without overwhelming the user.

 

The Research Questions

  • Literature review of existing techniques for visualizing multivariate geospatial data
  • Review of methods for representing uncertainty in geospatial visualizations
  • Identification of perceptual, cognitive, and interaction-related challenges when visualizing multivariate and uncertain data
  • Exploration and comparison of alternative visualization strategies for conveying continuously evolving uncertainty
  • Conceptual design or exploratory implementation of a visualization approach for multivariate geospatial data with evolving uncertainty
  • Evaluation or reflective analysis of the proposed approach with respect to interpretability and user cognitive load

 

Your Qualification

  • Good understanding of visual analytics and data analysis.
  • Experience with advanced visualization libraries (preferably d3.js)
  • Expierence in data processing using programming languages such as Python, R, or Julia
  • Scientific writing

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

 

If you have any questions about this position (Vacancy-ID 4143) please contact:

 

Prof. Dr. Andreas Gerndt 
Tel.: +49 531 295 2782 
Apply now