Research Assistant «ZuReach

The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer!

Your responsibilities

Tasks related to the execution and analysis of the ZuReach project will include, but are not limited to:

• participating in the design, planning, and implementation of data collection protocols, online and paper-based questionnaires, and focus group discussions
• developing materials in German and English (flyers, data collection protocols, project description, participants' consent form, scientific reports, meeting minutes, etc.)
• contributing to participant recruitment and scheduling - Recruit adults from various backgrounds (e.g., the community at large, university students) using several sources (social media, mailing, email, in-person, flyers)
• training and instructing the participants in data collection
• if needed, on-site data collection in the city of Zurich and Winterthur
• doing research on data quality assessment and helping with verifying and analyzing the collected datasets
• if needed, applying AI and digital methods for image processing to extract accessibility features (width, smoothness, etc.)
• collaborating with researchers, public organizations, and other institutions

Your profile

We are looking for a highly motivated and open-minded researcher with a passion for science and an independent, efficient, organized, and effective work style, with the following profile:

• A completed bachelor's degree in Geography, GIScience, Computer Science, Data Science, or a related field.
• A strong background in quantitative data analysis, statistical analysis, computational modeling, and programming (e.g., Python, SQL, R) is a prerequisite.
• Knowledge of qualitative study design and data analysis.
• Knowledge of spatial data storage and databases.
• Ideally, the candidate also has experience in machine learning/deep learning, image processing, and spatial data analysis.
• Excellent social skills. Ability to work with diverse groups of people and be helpful, respectful, approachable, and team-oriented.
• Previous experience in interdisciplinary projects is considered an asset.
• Demonstrated high attention to detail. Strong organizational skills.
• Excellent written and spoken German AND English communication skills are mandatory. Knowledge of other Swiss national languages (Italian and French) is a plus.
• A Swiss residency permit is mandatory.

Gabriele Prohaska
HR assistant DSI
gabriele.prohaska