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Student Assistant Machine Learning or Data Science

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Job

  • Level
    Junior
  • Job Field
    Data
  • Employment Type
    Part Time
  • Contract Type
    Internship / school internship
  • Salary
    16 to 17€ Gross/Hour
  • Location
    Berlin
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will develop machine learning applications and analyze data within digital humanities by designing data pipelines and creating interactive software for historical research projects.

    Job Technologies

    Your role in the team

    • Supporting digital humanities projects by implementing computational or machine learning methods.
    • Possibility to contribute to the 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.

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    Our expectations of you

    Education

    • 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.

    Qualifications

    • Language skills (in English and/or German).
    • Grundkenntnisse in Digital Humanities Technologien für digitale Transkriptionen und verwandte Software (wie Transkribus, eScriptorium, TEI-XML).
    • 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.

    Experience

    • 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.

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    What 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.

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    Topics that you deal with on the job

    Job Locations

    • Location Berlin

      Germany

    This is your employer

    Max-Planck-Institut für Wissenschaftsgeschichte

    Max-Planck-Institut für Wissenschaftsgeschichte

    The Max Planck Institute for the History of Science (MPIWG) in Berlin is one of more than 80 research institutes of the MPG and was founded in 1994. At the institute, scientific thought and action are analyzed as historical phenomena.

    Description

  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Science, Research
  • Logo Max-Planck-Institut für Wissenschaftsgeschichte

    Student Assistant Machine Learning or Data Science

    Salary
    16 to 17€ Gross/Hour
    Location
    Berlin
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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