Join Us!
Computational 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.
What are you going to do
Digital Expertise (DE) plays an essential role in all teaching and learning within Computational Social Science. There will be guest lectures, practical sessions and components of student group projects devoted to DE content. 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 will support them by:
- providing feedback and grading weekly individual DE assignments;
- supervising practical sessions;
- answering digital expertise-related questions.
Teaching typically takes place on Tuesdays and Thursdays at Roeterseiland Campus. Exact hours and days to offer student guidance on-site or online are to be determined by mutual agreement. In general, 8-10 hours per week is required.
What do you have to offer
We are looking for friendly, approachable and enthusiastic students who are willing and able to engage with international 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).
Additionally:
- You have successfully completed courses that included (for a minimum of 12EC):
- Programming, preferably in Python
- Machine learning (supervised and unsupervised methods in Scikit-learn and Statsmodels)
- You have experience with some of the following subjects:
- Scraping of static and dynamic websites (selenium, scrapy, Beautiful Soup)
- API access and usage
- Natural language processing (Gensim, nltk, spacy)
- Network analysis (networkx)
- Agent-Based Modelling
- Timeseries Analysis
- Applicants should possess demonstrated expertise in a subset of the advertised skill areas and exhibit a strong willingness to learn and expand their knowledge in the remaining areas.
Please note: Current students of the BSc Computational Social Science cannot be considered for the role of Digital Expertise TA.
What else do we offer you
We offer a temporary contract for 8-10 hours per week at the Education Office Social Sciences. The starting date will be at the end of August 2026. 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 €3 084 to €3141 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 work here
You will be working in a team with 10-15 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.
Are you skilled in Python and in any of the following: machine learning, natural language processing and network analysis? Would you like to help teach students advanced applications of these digital skills? Will you be studying in the academic year 2026-2027? We are looking for new additions to our team of Teaching Assistants and you may just be one of them!
Join Us!
Computational 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.
What are you going to do
Digital Expertise (DE) plays an essential role in all teaching and learning within Computational Social Science. There will be guest lectures, practical sessions and components of student group projects devoted to DE content. 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 will support them by:
- providing feedback and grading weekly individual DE assignments;
- supervising practical sessions;
- answering digital expertise-related questions.
Teaching typically takes place on Tuesdays and Thursdays at Roeterseiland Campus. Exact hours and days to offer student guidance on-site or online are to be determined by mutual agreement. In general, 8-10 hours per week is required.
What do you have to offer
We are looking for friendly, approachable and enthusiastic students who are willing and able to engage with international 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).
Additionally:
- You have successfully completed courses that included (for a minimum of 12EC):
- Programming, preferably in Python
- Machine learning (supervised and unsupervised methods in Scikit-learn and Statsmodels)
- You have experience with some of the following subjects:
- Scraping of static and dynamic websites (selenium, scrapy, Beautiful Soup)
- API access and usage
- Natural language processing (Gensim, nltk, spacy)
- Network analysis (networkx)
- Agent-Based Modelling
- Timeseries Analysis
- Applicants should possess demonstrated expertise in a subset of the advertised skill areas and exhibit a strong willingness to learn and expand their knowledge in the remaining areas.
Please note: Current students of the BSc Computational Social Science cannot be considered for the role of Digital Expertise TA.
What else do we offer you
We offer a temporary contract for 8-10 hours per week at the Education Office Social Sciences. The starting date will be at the end of August 2026. 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 €3 084 to €3141 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 work here
You will be working in a team with 10-15 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 18 May. Interviews will take place in the week of 25 May. For questions about the vacancy, you can contact:
Lukas Ansteeg (l.w.ansteeg@uva.nl)
