Digital Expertise Teaching Assistant for BSc Computational Social Science

Digital Expertise Teaching Assistant for BSc Computational Social Science

Working at the UvA

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.

 

Working at the UvA

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.

 

All about this vacancy

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.

 

All about this vacancy

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.

 

Your place at the UvA

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.

About the Faculty of Social and Behavioural Sciences

The Faculty of Social and Behavioural Sciences (FMG) is the largest educational and research institution in the field of social and behavioural sciences in Europe. Here, we explore societal and human-centered issues, driven by scientific curiosity but also with an eye for current themes. For example, the impact of media and communication on individuals and society, healthcare challenges, global urbanization, human development, the role of political institutions, understanding the human mind, growing inequality, diversity issues, and changing social relationships.
In Europe and beyond, the FMG holds a leading position, thanks in part to its more than 1,300 staff members who contribute to education and research. Will you be one of them?

Your place at the UvA

This is where you will be working

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.

About the Faculty of Social and Behavioural Sciences

The Faculty of Social and Behavioural Sciences (FMG) is the largest educational and research institution in the field of social and behavioural sciences in Europe. Here, we explore societal and human-centered issues, driven by scientific curiosity but also with an eye for current themes. For example, the impact of media and communication on individuals and society, healthcare challenges, global urbanization, human development, the role of political institutions, understanding the human mind, growing inequality, diversity issues, and changing social relationships.
In Europe and beyond, the FMG holds a leading position, thanks in part to its more than 1,300 staff members who contribute to education and research. Will you be one of them?

Important to know

Your application & contact

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 ([email protected])

Acquisition in response to this vacancy is not appreciated.

Diversity, Equity & Inclusion

As an employer, the UvA maintains an equal opportunities policy. We value diversity and are fully committed to being a place where everyone feels at home. We nurture inquisitive minds and perseverance and allow room for persistent questioning. With us, curiosity and creativity are the prevailing culture.
Studies show that women and members of underrepresented groups only apply for jobs if they meet 100% of the qualifications. Do you meet the educational requirements but not yet all of the requested experience? The UvA encourages you to apply anyway.

Important to know

Your application & contact

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 ([email protected])

Acquisition in response to this vacancy is not appreciated.
As an employer, the UvA maintains an equal opportunities policy. We value diversity and are fully committed to being a place where everyone feels at home. We nurture inquisitive minds and perseverance and allow room for persistent questioning. With us, curiosity and creativity are the prevailing culture.
Studies show that women and members of underrepresented groups only apply for jobs if they meet 100% of the qualifications. Do you meet the educational requirements but not yet all of the requested experience? The UvA encourages you to apply anyway.

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