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Student Assistant with a focus on Machine Learning or Data Science (m/f/d) up to 19 hours per week

MPI für Wiss.geschichte West · Berlin, Deutschland

Data Science / AI / Machine LearningEntry LevelRemoteImported listingpart-timeRecently

About The Role

  • 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.
  • The Digital Humanities team seeks to appoint a
  • **Student Assistant with a focus on Machine Learning or Data Science (m/f/d)**
  • **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 in 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 in 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 on the basis of 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 of 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, 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.
  • 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).
  • <https://recruitment.mpiwg-berlin.mpg.de/position/36470787>
  • 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
  • [[email hidden]].
  • Further information on the MPIWG can be found at <https://www.mpiwg-berlin.mpg.de/>.

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