Navigation auf uzh.ch

Suche

Department of Informatics Interactive Visual Data Analysis Group

Tutor / TA (open)

General: Open Positions for Tutors and Teaching Assistants

IVDA Image Gallery

We are looking for a motivated student (m/f/d) to be tutor/teaching assistant in the Interactive Visual Data Analysis (IVDA) Lecture the upcoming fall semester 2025.
The IVDA Lecture covers areas of visual analytics, interactive data science, and interactive machine learning. As part of the teaching team, you will help run the class smoothly and provide a positive learning experience for students.


General: Research Context of the IVDA Group

Our primary research focus is at the intersection between Information Visualization, Visual Analytics, Human-Computer Interaction, and Machine Learning. Your support is necessary to help the group follow a human-centered approach to data science, in order to foster the involvement of humans in the data analysis process with interactive visual interfaces. Your implementations will help to combine different strengths of humans and machines in an iterative and incremental data analysis process in order to tackle remaining data science challenges:

  • Examples for data-oriented challenges are heterogeneous data, dirty data, uncertain data, or unlabeled data.
  • Important model-oriented challenges include data pre-processing, model building, model quality assessment, or model explanation.
  • Particularly interesting user-oriented challenges are different degrees of user expertise, users’ personalization intents, and understanding and supporting user preferences with respect to data and tasks.

For more information about my recent research context, see juergen-bernard.de

General: Requirements

  • Subject knowledge in information visualization, visual analytics, interactive machine learning, and human-centered AI.
  • Basic knowledge in programming (Python, JavaScript).
  • Interest to supervise longitudinal group projects conducted in a collaborative environment.
  • Classroom and student engagement, creating an inclusive, supportive learning environment.

General: How to apply

Applications should include:

  • Short informal motivation statement
  • CV, certificates of study/educational background
  • Exposition of prior data visualization experience
  • Your expectations to the position, skills you want to learn

Contact

Prof. Dr. Jürgen Bernard
Interactive Visual Data Analysis Group
Department of Informatics, University of Zurich
Binzmühlestrasse 14
8050 Zurich
URL: http://juergen-bernard.de/

 

Applications should be sent to bernard@ifi.uzh.ch. For questions, feel free to contact Prof. Bernard as well.

 

JB Portrait