How do I apply for the Student Employee position at Technische Universität Wien and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at Technische Universität Wien paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Student Employee role?

This position is a part-time, structured as a not disclosed role.

What educational background or degree level is required for the Student Employee at Technische Universität Wien?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor, Master.

Does Technische Universität Wien provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Student Employee

Technische Universität Wien

Found 2 weeks ago

Location

Wien, Austria

Time

Part-time

Work Mode

Not disclosed

Salary

EUR 1,379.60/month gross, 14 times/year for 20 hours/week

Visa Help

Not disclosed

Last Verified

2 weeks ago

Education

Bachelor
Master

Skills & Qualifications

Technical Skills

APIs
data pipelines
data integration workflow
CI/CD pipelines
DevOps practices
data orchestration tools
kowledge graphs
graph databases
Large Language Model

Soft Skills

Team- and communication skills
precise work
Strong analytical and debugging skills

Job Description

The successful candidate will contribute to this process in a supporting capacity by carrying out the following tasks: * Support the engineering and integration of advanced AI software components * Contribute to the design and development of various data wrangling phases (e.g., cleaning, integration) to help harmonize different data sources * Assist in interlinking TU Wien’s data sources with online platforms to identify research trends and enable comparative analyses * Support navigation and information extraction from knowledge graphs * Support the construction of scientific prototypes and proofs-of-concept to help demonstrate successful approaches * Provide regular input to consultations and assist in the preparation and presentation of results to stakeholders

Requirements

Enrolled in a relevant study program in the field of Informatics, Business Informatics or Data Science; No completed Master- or Diplom Study in these fields
Very good programming knowledge
Familiarity with APIs, data pipelines and data integration workflow and with CI/CD pipelines and DevOps practices
Understanding of data orchestration tools and kowledge graphs and graph databases
Strong analytical and debugging skills
Team- and communication skills and precise work

AI & Machine Learning

Applied Machine Learning

Nice to Haves

Experience with cloud or university computing infrastructure and in similar data science projects
Familiarity with data governance and reproducible research workflows

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