Computation Social Science is a collaboration between the faculties of Social and Behavioural Sciences, Science and Humanities. Students learn how to analyse ‘real world’ data on complex societal issues such as climate change, global health and digital surveillance to identify opportunities for (behavioural and systems) change and to design evidence-based intervention strategies. They will programme hands-on tools that support sustainable digital innovation and contribute to making the world a better place.
Computation Social Science is a collaboration between the faculties of Social and Behavioural Sciences, Science and Humanities. Students learn how to analyse ‘real world’ data on complex societal issues such as climate change, global health and digital surveillance to identify opportunities for (behavioural and systems) change and to design evidence-based intervention strategies. They will programme hands-on tools that support sustainable digital innovation and contribute to making the world a better place.
Our curriculum contains a significant amount of group work. As a TA, you will be assigned to a fixed group of 20 students for the duration of 20 weeks (i.e. one semester) and mostly support them as they develop these projects. You may also be asked to provide feedback on (draft versions of) individual assignments that our students submit. Our TAs also offer academic guidance to students via online channels or on-site in our programme’s dedicated ‘learning spaces’ in the JK building at Roeterseiland Campus. It is also possible to give some of the workshops in academic skills and help lecturers prepare workshop materials.
Exact hours and days to offer student guidance on-site or online are to be determined by mutual agreement. Teaching activities for our first-year course “Foundation: Appreciating the complexity of social challenges” are scheduled for Mondays, Wednesdays and Friday mornings. Teaching activities for our second-year course “Connections: Linking data for better interventions in health and mobility systems” are offered on Tuesdays and Thursdays.
The number of hours per week for which you will be hired can be aligned with your availability. In general, 8-12 hours per week are required.
We are looking for friendly, approachable and enthusiastic students who are willing and able to engage with undergraduate students. You will need to know how to recognise and hold the line between guiding students’ independent learning and doing students’ work for them. Experience in teaching or group facilitation would be an asset. You must have an excellent command of English (spoken and written).
Computational Social Science draws from Political Science and Sociological theory, primary research skills, as well as practical skills in communication and stakeholder outreach. We do not expect you to have expertise in all these areas, but you must be willing to learn and keep up with the basics of our students’ curriculum.
Experience in two or more of the following areas is preferred:
Levels of analysis
Systems Thinking
Social Practice Theories
Structure/agency debate
Wicked problems, especially climate change or digital surveillance
Theories of behavioural change
Writing executive summaries
Creating infographics
Survey design
In-depth interviewing
Ethnography
Statistics
Stakeholder outreach and management
Design thinking
ATLAS.ti
Qualtrics
Note: this job does not require programming skills.
We offer a temporary contract for 8-12 hours per week at the Education Office Social Sciences. The starting date will be Friday, 15 August 2025. Employment will initially be for a semester. Upon positive evaluation and satisfactory performance, your contract may be extended. The UFO profile of student assistant employee applies. The salary is €2925 to €2981 gross per month based on full-time employment (38 hours per week). This excludes 8% holiday and 8.3% end-of-year bonus. The starting salary will be based on the number of ECTS gained as a student.
Our curriculum contains a significant amount of group work. As a TA, you will be assigned to a fixed group of 20 students for the duration of 20 weeks (i.e. one semester) and mostly support them as they develop these projects. You may also be asked to provide feedback on (draft versions of) individual assignments that our students submit. Our TAs also offer academic guidance to students via online channels or on-site in our programme’s dedicated ‘learning spaces’ in the JK building at Roeterseiland Campus. It is also possible to give some of the workshops in academic skills and help lecturers prepare workshop materials.
Exact hours and days to offer student guidance on-site or online are to be determined by mutual agreement. Teaching activities for our first-year course “Foundation: Appreciating the complexity of social challenges” are scheduled for Mondays, Wednesdays and Friday mornings. Teaching activities for our second-year course “Connections: Linking data for better interventions in health and mobility systems” are offered on Tuesdays and Thursdays.
The number of hours per week for which you will be hired can be aligned with your availability. In general, 8-12 hours per week are required.
We are looking for friendly, approachable and enthusiastic students who are willing and able to engage with undergraduate students. You will need to know how to recognise and hold the line between guiding students’ independent learning and doing students’ work for them. Experience in teaching or group facilitation would be an asset. You must have an excellent command of English (spoken and written).
Computational Social Science draws from Political Science and Sociological theory, primary research skills, as well as practical skills in communication and stakeholder outreach. We do not expect you to have expertise in all these areas, but you must be willing to learn and keep up with the basics of our students’ curriculum.
Experience in two or more of the following areas is preferred:
Levels of analysis
Systems Thinking
Social Practice Theories
Structure/agency debate
Wicked problems, especially climate change or digital surveillance
Theories of behavioural change
Writing executive summaries
Creating infographics
Survey design
In-depth interviewing
Ethnography
Statistics
Stakeholder outreach and management
Design thinking
ATLAS.ti
Qualtrics
Note: this job does not require programming skills.
We offer a temporary contract for 8-12 hours per week at the Education Office Social Sciences. The starting date will be Friday, 15 August 2025. Employment will initially be for a semester. Upon positive evaluation and satisfactory performance, your contract may be extended. The UFO profile of student assistant employee applies. The salary is €2925 to €2981 gross per month based on full-time employment (38 hours per week). This excludes 8% holiday and 8.3% end-of-year bonus. The starting salary will be based on the number of ECTS gained as a student.
You will be working in a team with approximately 20 other student assistants. Together, we strive to provide the best education for our students. Learning from each other and improving yourself are important values, as well as maintaining a positive and constructive attitude.
You will be working in a team with approximately 20 other student assistants. Together, we strive to provide the best education for our students. Learning from each other and improving yourself are important values, as well as maintaining a positive and constructive attitude.
If you recognize yourself in this profile and are interested in the role, we look forward to receiving your motivation letter and CV. You can apply via the red button until 30 May 2025. Interviews will take place in the week of 9 June 2025. For questions about the vacancy, you can contact:
For Year 1: Daniel Mayerhoffer: [email protected]
For Year 2: Kirils Makarovs: [email protected]
If you recognize yourself in this profile and are interested in the role, we look forward to receiving your motivation letter and CV. You can apply via the red button until 30 May 2025. Interviews will take place in the week of 9 June 2025. For questions about the vacancy, you can contact:
For Year 1: Daniel Mayerhoffer: [email protected]
For Year 2: Kirils Makarovs: [email protected]
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