Methods Desk Assistant — Statistics & Research Design Support

Uva; Amsterdam; Hybrid; EUR 36,000 - 37,000; Full time

Benefits offered by this job

8% holiday allowance

Year-end bonus 8.3%

Job summary

UvA is seeking a student assistant for the Methods Desk in Amsterdam. You will support Communication Science students with statistical and methodological questions, contribute to research design discussions, and help maintain a welcoming learning environment in an international academic setting.

Responsibilities include in-person desk support, email queries, and building a Q&A database. Strong quantitative skills and SPSS familiarity are required; R/Python are a plus.

Qualifications

• Must be a student enrolled in the Research Master in Communication Science or another Social/Behavioral Sciences Research Master at the University of Amsterdam.
• Strong understanding of quantitative research methods and ability to use a broad range of advanced statistical methods.
• Knowledge of SPSS is required; familiarity with R and Python is a plus.

Responsibilities

• Staff the Methods Desk during sessions, answering statistical and methodological questions (about 85% of time).
• Assist with troubleshooting methodological software on students' devices (about 15% of time).
• Answer questions by email outside desk hours.
• Help build and maintain a Q&A database and the Methods Desk web page.

Skills

Quantitative methods

Advanced statistics

Tutoring experience

Customer service

English proficiency

Dutch familiarity

Education

Research Master in Communication Science

Tools

SPSS

R

Python

Windows/macOS troubleshooting

Job description

UvA is seeking a student assistant for the Methods Desk in Amsterdam. You will support Communication Science students with statistical and methodological questions, contribute to research design discussions, and help maintain a welcoming learning environment in an international academic setting.

Responsibilities include in-person desk support, email queries, and building a Q&A database. Strong quantitative skills and SPSS familiarity are required; R/Python are a plus.