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Department of Informatics People and Computing Lab

Jobs


Tutors for People-Oriented Computing

For the Fall semester 2023, we are looking for Tutors for the "People-Oriented Computing” course (AINF1168), taught by Professor Elaine Huang.

Course Description

Course units include:

  1. Computing and the individual (e.g. models of interaction and cognition, principles of design)
  2. Computing for Groups and Organizations (e.g. CSCW, Groupware)
  3. Computing in Society and Community (e.g. social media, health and wellness, sustainability)

Developments in technology have had a profound impact on people and the world in which we live, work, and interact. These developments are simultaneously enabling and challenging, and the co-evolution of computing and people's use of it has led to important issues for the design, development, adoption of technology, as well as the understanding of its impact on how we live. This course provides an introduction to human-oriented aspects of computing and serves as a foundation for further study in people-oriented computing. Fundamental human issues of technology will be covered at the level of individuals, groups, organizations, and society. The course will provide a general introduction to key areas in people-oriented computing, and touch upon relevant topics such as roles and potential careers in computing, methods, and approaches employed in these areas, and future directions for technology.

Requirements

  • You must be a Master student or a senior Bachelor student who has successfully passed the assessment level.
  • We typically seek students who have taken and successfully passed the "People-Oriented Computing” course or who have successfully completed the “Human-Computer Interaction” course and/or “HCI Seminar”.

Responsibilities

  • Tutoring of weekly labs (every Wednesday 12:15-14:00).
  • Adapting/preparing the exercises for the weekly labs.
  • Extra reading to familiarize yourself with lecture materials.
  • We may ask you to attend lectures (Monday, 14:00-15:45), depending on your knowledge level.
  • Grading two assignments and the exam.

Compensation

  • You receive either money or 3 ECTS or 6 ECTS points for your BSc or MSc. Work will be distributed accordingly. Those ECTS points can be used as “INF electives” or “free electives”.

To Apply

Send an email to Dr. Anton Fedosov (antonf@ifi.uzh.ch), Luise Arn (arn@ifi.uzh.ch), and Clara-Maria Barth (clara-maria.barth@uzh.ch) with the subject "People-Oriented Computing Tutor”.

Your application should include a 1) brief CV (please mention whether you have taken HCI Lecture and/or HCI Seminar), and 2) your transcripts (grades of all the courses you have taken so far in your MSc/BSc studies). Applications are on a first come, first serve basis. Suitable applicants will be called in for a short informal interview in June/July.

For thesis and project topics, please go here

Independent Study (3 ECTS)

For a research project we are looking for a student to look at children’s media and use our framework to analyze depictions of artificial intelligence. The student will be supervised by Lu Arn.

Study Description

While there are studies suggesting different depictions might have an influence on our perception of intelligent technology [e.g., Mubin et al., 2015], there is little research on how intelligent technology is commonly depicted. Since we are hoping to explore storytelling as an educational instrument for intelligent technology education, it is imperative to gain knowledge on how storytelling is currently used to depict intelligent technology. By analyzing these depictions for common portrayals and common characteristics, such as an all-knowing software or an advanced voice user-interface, we plan work together with a variety of experts to identify elements and patterns that either might be useful to enhance data and AI literacy or might inhibit it.

Requirements

  • You must be a Master student or a senior Bachelor student at the University of Zurich who has successfully passed the assessment level.
  • You must be able to work independently and reliably, follow instructions, and communicate your findings clearly and understandably.

Responsibilities

  • Looking through a multitude of children’s media such as books, audio plays, movies, and games and reporting on the depicted AI using our framework.

Compensation

  • You will receive 3 ECTS points for your BSc or MSc. Those ECTS points can be used as “INF electives” or “free electives”.

To Apply

Send an email to Lu Arn (arn@ifi.uzh.ch) with the subject "Independent Study”.  Your application should include a 1) a short cover letter 2) a brief CV (please mention whether you have taken the HCI or POC Lecture and/or HCI Seminar), and 3) your transcripts (grades of all the courses you have taken so far in your MSc/BSc studies).