Teacher’s assistants for MSc SOCIAL DATA SCIENCE

We are looking for several TAs for courses and sections in the Master’s program in Social Data Science. The positions run from August 15th, 2025 – January 31st, 2026, with courses organised in half-semester blocks: block 1 in week 36-43 and block 2 in week 45-51. There are TA positions on the following courses and sections:

Social Data Science Base Camp (block 1 2): https://kurser.ku.dk/course/asdk20001u/2024-2025

Elementary Social Data Science (block 1): https://kurser.ku.dk/course/asdk20002u/2024-2025

Social Data Analysis (block 2): https://kurser.ku.dk/course/asdk20005u/2024-2025

SDS Coding Café (block 1 2), with potential for extension in the Spring 2024

Since Elementary Social Data Science and Social Data Analysis are taught in sequence, it will be possible to get employed as TA on both.

Please state in the application which course and or section you wish to apply for and if you are interested in a combined position.

Social Data Science Base Camp: The course covers the Fall semester (14 weeks) with 4 hours of lectures and 6 hours of exercises/seminars per week.We are looking for TAs to teach on the course seminars where students are introduced to the fundamentals of programming, data collection, and data analysis in Python, covering topics such as variables, data structures, functions, the social context of programming, APIs, scraping, and basic regression and basic machine learning principles. In addition to the course seminars, the TAs are expected to participate in regular coordination meetings with the teaching team and assess student submissions throughout the semester. Applicants for TA positions in Social Data Science Base Camp are required to have experience working with the programming language Python, with programmatically collecting online digital traces (e.g. using APIs or scraping), and knowledge of regression. Knowledge of and experience with the Pandas library in Python is an advantage, but not a requirement. Similarly, experience with teaching, in particular teaching programming to beginners, is an advantage but not a requirement. For further information, please contact the course coordinators Friedolin Merhout (fmerhout@soc.ku.dk) and Gregory Eady (gregory.eady@ifs.ku.dk).

Elementary Social Data Science: The course covers 4 hours of lectures and 6 hours of teaching per week during block 1 (7 weeks). The teaching introduces students to a typology of data and prominent research designs from the social sciences, discusses four general approaches to data collection in Social Data Science, and reviews approaches to sound research design and analysis. TAs’ primary role will be to guide exercise sessions building on the lecture content and, in cooperation with the course instructors, revise or develop exercise session plans as necessary. In addition to the exercise sessions, the TAs are expected to participate in regular coordination meetings with the teaching team and might be asked to provide feedback on student projects throughout the course. Applicants for TA positions in Elementary Social Data Science are required to have experience conducting empirical social science research. Experience with handling different types of data, conducting different forms of data collection, as well as with various forms of social science research designs is an advantage, but not a requirement. Similarly, teaching experience particularly at the university level is an advantage, but not a requirement. For further information, please contact the course coordinator Lau Lilleholt Harpviken (llj@psy.ku.dk).

Social Data Analysis: The course covers 4 hours of lectures and 6 hours of teaching per week during block 2 (7 weeks). Teaching includes introductions to paradigmatic theories, concepts, and methods for the social scientific study of human behavior, social networks, and cultural ideas. In addition to the course seminars, the TAs are expected to participate in the weekly lectures and coordination meetings. Applicants for TA positions on Social Data Analysis are required to have experience conducting empirical social science research. Experience with data collection, applying novel data and research designs to classic social science problems, and open science principles is an advantage, but not a requirement. For further information, please contact the Head of Studies

Coding Café: The Coding Café runs on average four hours per week during the semester and serves to support new students in the MSc in Social Data Science in their introduction to the coding language Python. The Coding Café is a place where students can come and ask coding questions and get extra help if needed. The students in the program are introduced to fundamentals of programming, data collection, and data analysis in Python, covering topics such as variables, data structures, functions, the social context of programming, APIs, scraping, and basic regression and basic machine learning principles. These are also the areas that the TA must be able to help with in the Coding Café. Applicants for the TA position are required to have experience working with the programming language Python, with programmatically collecting online digital traces (e.g. using APIs or scraping), and knowledge of regression. Knowledge of and experience with the NumPy, Pandas, and matplotlib libraries in Python is a strong advantage, but not a requirement. Similarly, experience with teaching, in particular teaching programming to beginners, is an advantage but not a requirement. For further information, please contact the Head of Studies Kristoffer Albris (kristoffer.albris@sodas.ku.dk)

Qualifications
The positions can be applied for by students who have at minimum completed the first 2 years of their bachelor’s degree. The teaching language is English, which means applicants are expected to be proficient in English.

Salary and conditions of employment
The employment is made in accordance with the Collective Agreement between the Danish Ministry of Finance and the National Union for Student Teachers (SUL).

The hourly salary is (per April 2025): - Excl. preparation, 249.02 dkr per hour vacation pay and pension.

Application procedure
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Appointments Committee. All applicants are then immediately notified whether their application has been passed for assessment by an expert assessment committee. The selected applicants are notified of the composition of the committee and each applicant has the opportunity to comment on the part of the assessment that relates to his or her application. You can read about the recruitment process at employment.ku.dk.

Application
Apply by using the link at the bottom of the page. Please upload the following documents in the electronic application form:

• Application

• Resumé (CV)

• Grade transcript

• If relevant, documentation for prior teaching experience and other relevant academic qualifications (in one joint file)

Applications must be in English.

Please state in the application which course and or section you wish to apply for and if you are interested in a combined position. Remember to state your university email address in your application, as we will call in for interviews via e-mail.

If you are interested in a TA position, please send an electronic application, resumé and relevant documentation via www.jobportal.ku.dk.

The application deadline is 18.05.2025
Please note that you can only upload one file in each category. If you have multiple documents for the same category (e.g. diploma and grade transcripts), please collect all the documents in one file (PDF). Applications received after the application deadline will not be considered.

University of Copenhagen wants to reflect the surrounding society and encourages anyone, regardless of personal background, to apply for the position.

Københavns Universitet giver sine knap 10.000 medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau. Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre.

Info
Ansøgningsfrist: 18-05-2025

Ansættelsesdato: 15-08-2025

Afdeling/Sted: SODAS