Research Technician

univie innovation

Research Technician supporting research projects in computer science at the University of Vienna. Implementing algorithms and assisting with experiments in an academic team environment.

Posted 7/21/2026full-timeVienna • 🇦🇹 AustriaMid-LevelSenior💰 €3,131 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in implementing algorithmic approaches and machine learning models, with strong programming skills in Python. Proficient in both English and German, capable of supporting research initiatives and maintaining technical infrastructure.

Highest-signal resume keywords

Machine Learning ModelsPython ProgrammingResearch Paper WritingTechnical Infrastructure MaintenanceBilingual Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Algorithm ImplementationMachine LearningPythonExperimental EvaluationData Science

Soft Skills

Problem-SolvingIndependenceCollaboration

Industry Keywords

Process MiningComputer ScienceBusiness Informatics

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Implement algorithmic approaches and machine learning models.
Design and run experimental evaluations for group research projects.
Support group members with technical aspects of research.
Contribute to writing research papers regarding implemented approaches.
Help maintain the group's technical infrastructure and website.

Requirements

What you’ll need

Relevant vocational training or ongoing/completed university studies in Computer Science, Business Informatics, Data Science, or equivalent.
Good programming skills in Python.
Excellent command of English and German (spoken and written).
Interest in process mining and contributing to research (experience preferred but not required).
Ability to work independently and support colleagues.
Hands-on, problem-solving mentality.

Benefits

Comp & perks

Work-life balance: flexible working hours and partial remote options.
Inspiring working atmosphere: international academic team.
Good public transport connections: easily accessible workplace.
Internal further training & coaching: over 600 free courses available.