Student Assistant (m/f/d) | Machine Learning or Data Science

Max Planck Society; Berlin; Vor Ort; EUR 22.000 - 25.000; Teilzeit

Benefits dieser Stelle

Hourly wage €16.50–€17.17

Zusammenfassung

The Digital Humanities team at the Max Planck Institute for the History of Science (MPIWG) offers a student assistant position (m/f/d) up to 19 hours per week, starting Oct 1, 2026. Work centers on machine learning or data science within an international research setting, collaborating across departments to advance digital humanities research.

You will contribute to data analysis, archival tasks, and developing interactive digital research software, while aligning with open data standards and a

Qualifikationen

• Student enrolled in Bachelor’s (second semester) or Master’s program in Germany.
• English and/or German language skills.
• Basic familiarity with Digital Humanities technologies (Transkribus, eScriptorium, TEI-XML).
• Optional: coding experience (Python/JavaScript) and interest in data/machine learning pipelines.
• Teamwork, organization, and ability to work in an international research setting.

Aufgaben

• Support digital humanities projects by implementing computational or ML methods.
• Assist in archiving and digital preservation of legacy data and projects.
• Contribute to applying data science tools to analyze data sets and assist in data mining.
• Code and contribute to DH projects building databases, data pipelines, and visualizations.

Kenntnisse

English

German

Digital Humanities

Machine Learning

Data Science

Teamwork

Communication

Ausbildung

Bachelor's or Master’s in Digital Humanities/CS

Tools

Transkribus

eScriptorium

TEI-XML

Python

JavaScript

Jobbeschreibung

Young Researchers Berlin

Cultural Studies

Job Offer from July 16, 2026

The Max Planck Institute for the History of Science (MPIWG) is an internationally respected research institute of the Max Planck Society (MPG) with currently two research departments, several research groups, and a graduate school. At the MPIWG, around 150 scholars from all over the world investigate the sciences’ past and present, working together on a collective, collaborative, and transdisciplinary basis. The MPIWG is renowned worldwide as a hub for reflection on the role of the sciences in politics and society. It is located in southwestern Berlin, close to the campus of the Free University Berlin and other research institutions.

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

Your profile

• 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

We offer

• 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.

The Max Planck Society is an equal opportunity employer that strives to foster an inclusive workplace.

As an institute of the MPG, the Max Planck Institute for the History of Science supports a working community for all, free from discrimination and harassment.

We explicitly encourage applications from qualified individuals who belong to groups that are often underrepresented in the workplace due to age, disability, ethnicity, family status, gender, nationality, race, sex, sexual orientation, socioeconomic background, or religion.

Max Planck Institute for the History of Science, Boltzmannstr. 22, 14195 Berlin