
Student Assistant (m/f/d) | Machine Learning or Data Science
Estimated take-home
Monthly net after taxes & social security
€1,197 – €1,245/mo
See tax calculatorRequired skills
Job description
Max Planck Society posted this role. Below, we break down what it means for a working student in Berlin: your weekly hours, take-home pay and visa limits. You can also open ChatGPT or Claude with a ready-made prompt to tailor your CV, check your fit, draft a cover letter or prep for the interview.
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Description provided by Max Planck Society
The Digital Humanities team seeks to appoint a Student Assistant (m/f/d) with a focus on Machine Learning or Data Science, up to 19 hours per week, starting October 1st 2026.
The Digital Humanities team in the Max Planck Institute for the History of Science (MPIWG) is composed of 4 digital humanities researchers working on numerous projects across the different departments and research groups of the institute.
The Digital Humanities team aims to conduct cutting-edge digital and computational humanities scholarship while utilizing established standards for data representation and exchange. We strive to stay on the frontier of integrating digital humanities, data science, and software development. Projects are expected to build on and contribute to a common digital research infrastructure, producing sustainable digital research outputs that can be reused and shared openly.
Your responsibilities
- supporting digital humanities projects by implementing computational or machine learning methods
- possibility to contribute to archiving and digital preservation of legacy data and digital projects, including documentation and contributing to the development of interactive digital research software for digital humanities
- possibility to contribute to applying data science tools to analyze existing data sets, e.g., bibliometric studies, images, text, as well as assisting in data mining and network analysis research
- possibility of coding and contributing to various digital humanities projects that range from building databases, data pipelines, utilizing machine learning methods, to generating data visualizations for historical insights based on either textual or visual materials
- student in digital humanities, computer science, data science, machine learning or a related discipline currently enrolled in a Bachelor’s program (in at least your second semester) or a Master’s program (first or second semester) at a university in Germany
- language skills (in English and/or German)
- basic familiarity with Digital Humanities technologies for digital transcriptions and related software (such as Transkribus, eScriptorium, TEI-XML)
- optional: relational database management, semantic web technologies (such as RDF and SPARQL); coding and software development experience, such as Python or Javascript; interest in data and machine learning pipelines; interest in the history of alchemy or data ethics
- the ability to work both independently and in a team, good communication skills, and a talent for organization
- an interest in research and enjoyment of work in an international research institution
- remuneration at the student employee rates of the MPG support for junior scientists and scholars: currently € 16.50 per hour for Bachelor’s students and € 17.17 for Master’s students who can demonstrate completion of their Bachelor’s degree
- working hours to align with your studies
- work in an international setting with staff and guests from more than forty countries
- close contact with all research and research-support units and the opportunity for direct, personal dialogue
- promotion of your professional interests and research interests
- use of the on-site reference library
- access to the wide range of training courses offered by the MPG’s Planck Academy
- occupational health management: weekly in-house yoga classes; regular information on courses offered by our partner health insurance companies
- a student representative for equal opportunities.
Please follow the links to find out more about the MPIWG’s policies on gender equality and hiring practices for people with disabilities, as well as Germany’s anti-discrimination laws as outlined in the General Equal Treatment Act.
Your application
Please submit your application with complete documents, preferably without a photograph, through our application portal. Include cover letter, curriculum vitae, copies of qualifications (in a single PDF file) and relevant employment references if available(in a single PDF file) via our application portal.
Applications must be received by August 23rd 2026 (23:59 CEST).
Please note that we can only accept electronic applications submitted through the portal.
For any questions about the position or the application process, please contact Sarah Lang
Max Planck Institute for the History of Science, Boltzmannstr. 22, 14195 Berlin
Working student essentials
What this Tech working student role in Berlin means for you: the weekly-hours rules, the social-contribution perks, and what international students should check before applying.
Weekly hours
Working students may work up to 20 hours a week during the semester and full-time during the breaks. Staying within this keeps your student status and the Werkstudent benefits.
Working student rulesSocial contributions
Under the Werkstudentenprivileg you're exempt from health, care and unemployment insurance contributions — only pension insurance applies. That leaves more net pay than a regular job.
Check your insuranceInternational students
Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.
Studying in Germany