Workplace Image AIT Austrian Institute of Technology GmbH
Logo AIT Austrian Institute of Technology GmbH

Internship AI-Based Data Harmonization and Decision Support

New

Job

  • Level
    Junior
  • Job Field
    Software, Data
  • Employment Type
    Full Time
  • Contract Type
    Internship / school internship
  • Salary
    from 1.415 € Gross/Month
  • Location
    Vienna
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will assist in identifying and enhancing data processing workflows while developing prototype solutions that demonstrate AI-based decision support.

    Job Technologies

    Your role in the team

    • Under the guidance of our interdisciplinary team, you will support in identifying relevant data collection and processing workflows, as well as in advancing aggregation methods to make the relationship between desirable goals and necessary measures more transparent and traceable for a development project aimed at developing AI-based approaches for harmonizing data flows and improving data-driven decision support.
    • You will work with modern LLM-based systems, including the use of custom APIs, tools, and multi-agent architectures.
    • At the end of your internship, you will implement a small demo, e.g., a prototype that connects to an LLM via a custom API and demonstrates data-driven decision support using a tool.
    • You will gain practical experience into the development of a flexible, scalable, and secure data management ecosystem that supports evidence-based decision-making, including in crisis situations.
    • You support us in our international project and get exciting insights into our technological environment.
    • You will have not only the opportunity to discuss your work experiences and results with experienced scientific peers, but also to connect with other bachelor’s, master’s or PhD students.

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    Our expectations of you

    Qualifications

    • Ongoing bachelor’s programme (early stage) in Electrical Engineering, Computer Science, Data Science, or a related field.
    • Solid mathematical foundations (e.g., calculus, linear algebra, statistics).
    • General interest in Artificial Intelligence and data-driven systems.
    • Desirable: first exposure to AI frameworks (e.g., crew.ai), multi-agent systems, evaluation methods, or the customization/orchestration of AI models (e.g., through coursework, project work, or self-study).
    • Analytical thinking, willingness to learn, and motivation to engage with new technologies.
    • Very good verbal and written English skills (team language is English), German and other language skills would be a plus.

    Experience

    • Initial hands-on experience in programming, e.g., with Python (additional languages are a plus).

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    Benefits

    Health, Fitness & Fun

    Work-Life-Integration

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    Job Locations

    Map of company locations
    • Location Vienna

      Giefinggasse 4

      1210 Wien

      Austria

    Topics that you deal with on the job

    This is your employer

    AIT Austrian Institute of Technology GmbH

    AIT Austrian Institute of Technology GmbH

    Wien, Klagenfurt, Graz, Hall In Tirol, Dornbirn, Seibersdorf, Steyr-Gleink, Wien, Braunau Am Inn - Ranshofen, Wien, Tulln

    The AIT Austrian Institute of Technology is Austria's largest research institute and is considered a specialist in central infrastructure issues for the future, Europe-wide.

    Description

  • Company Size
    250+ Employees
  • Founding year
    2007
  • Language
    German, English
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Science, Research
  • Dev Reviews

    by devworkplaces.com

    Total

    (2 Reviews)
    3.8
    • Culture

      4.2
    • Engineering

      4.0
    • Career Growth

      3.6
    • Workingconditions

      3.7
    All Dev Reviews on devworkplaces.com
    Logo AIT Austrian Institute of Technology GmbH

    Internship AI-Based Data Harmonization and Decision Support

    Salary
    from 1.415 € Gross/Month
    Location
    Vienna
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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