Student Assistant for Strategic Projects

You will support the QdL (Quanification of Teaching Engagement) project in the following focus areas: Preparing and structuring existing data sets and carrying out descriptive analyses (mainly in Excel); Turning results into charts, tables and short slide sets, and presenting them to the team; Documenting data sources, definitions and processing steps so that analyses stay traceable; Administrative support for the project: documentation, correspondence, minute-taking, scheduling and filing; Assisting with the preparation of meetings and workshops, including materials and follow-up documentation; Basic desk research and preparatory work for other related projects of the Strategy & Analytics Team.

The Strategy and Analytics Team helps ETH Zurich make decisions about teaching. We take data that exists at different levels (individual courses, degree programmes, whole departments) and combine it into measures that show what teaching and learning conditions actually look like across the university. The Rectorate and the departments use these analyses to gain a systemic view of teaching and decide what to do next. The QdL project aims to build a consistent picture of teaching by making its full breadth visible, described in measures that are intelligible and shared by all 16 departments. The goal is a better internal representation of what teaching actually involves, and more transparency about it within ETH.

• You are a Bachelor's (from the 3rd semester) or Master's student at a Swiss university in psychology, sociology, education or a related social science

• You have first experience in a teaching context, e.g., as a tutor or teaching assistant, or supervising exercise sessions

• You are confident with Excel and comfortable working with structured data

• You work accurately and in a structured way, and you pay attention to detail in data and documentation

• You work independently, take the initiative in clarifying open questions, and handle internal and partly confidential data with discretion

• You can explain results concisely to people who did not do the analysis

• You communicate confidently in German and English, written and spoken