19 beste Stellen als machine learning in wien – aktuell auf Personalsuche

2 University assistants predoctoral (group "Algorithms and Optimization")
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Austrian Institute of Technology —Wien, W
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Fraunhofer Austria Research —Wien 4. Bezirk (Wieden), W
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EUROPEAN DYNAMICS —Wien, W
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Viewpointsystem GmbH —Wien, W
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IESF AG —Wien, W
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Novasign —Wien, W
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Praktikum AI & Data (all genders)
Accenture —Wien, W
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2 University assistants predoctoral (group "Algorithms and Optimization")

Universität Wien -
Wien, W

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Details zur Stelle

vor 11 Stunden

Qualifikationen

Master
Bachelor

Vollständige Stellenbeschreibung

The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an

2 University assistants predoctoral (group "Algorithms and Optimization")

39 Faculty of Computer Science

Job vacancy starting: 10/01/2026 (MM-DD-YYYY) | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc)

Limited contract until: 09/30/2030

Job ID: 5797

The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a nonextension declaration.

Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team!

Ihr persönlicher Spielraum:

This position is part of the “Algorithms and Optimization” group, led by Prof. Gramoz Goranci, within the “Theory and Applications of Algorithms’”research group at the Faculty of Computer Science. Our research focuses broadly on algorithm design and its connections to optimization, graph theory, and the foundations of machine learning. Recent work has centered on developing fast, dynamic algorithms for both classical and emerging large-scale problems, with an emphasis on rigorous theoretical guarantees and, in some cases, high-performance implementations. We draw on techniques from combinatorial data structures, graph algorithms, spectral graph theory, and metric embeddings, combining these tools to address fundamental challenges in modern algorithm design.
More information about us can be found at

Your future tasks:

You actively contribute to research, teaching, and administration, which includes the following:

Conduct independent research and contribute to research projects in teams
Prepare manuscripts for publications at conferences and journals, including presentation of results at conferences
Finalisation of your dissertation agreement within 12-18 months
Contribution to lectures and exercise classes as well as independently held courses within the scope of the provisions of the collective bargaining agreement
Supervision of students
Involvement in the organization of meetings, conferences, and symposiums
Involvement in the department administration as well as in teaching and research

Requirements:

Completed Master’s degree or Diploma in the field of Computer Science or Mathematics, or a related discipline
Excellent prior knowledge in design and analysis of algorithms (can be documented through coursework) or master’s thesis work
Experience in Academic Writing
High ability to express yourself both orally and in writing
Excellent command of written and spoken English
Ability to work in a team
High written and spoken articulateness
Very good command of written and spoken English
IT user skills

Additionally, the following skills would be desirable:

Teaching experience
Documented research experience in algorithm design or theoretical computer science (e.g., through publications)
Knowledge of university processes and structures
Study experience abroad

What we offer:

Work-life balance: Our employees enjoy flexible working hours and can partially work remotely.

Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment.

Good public transport connections: Your workplace is easily accessible by public transport.

Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.

Fair salary: The monthly gross salary of EUR 3.776,10 (on the basis of 40h employment, 14 monthly salaries per year) increases if we can credit professional experience.

Equal opportunities for all: We welcome every additional/new personality to the team!

It is that easy to apply:

Please submit the following documents in English:

Cover Letter, focusing on your fit for the advertised position and your expertise in relevant research areas (max 1 page)
CV
Master's thesis (if already finished, otherwise Bachelor's thesis)
Study transcripts and degree certificates
List of publications, evidence of teaching experience (if available)

Apply through our job portal / Apply now - button

If you have any questions, please contact:

Gramoz Goranci

[email protected]

We look forward to new personalities in our team!
The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

University of Vienna. Space for personalities. Since 1365.

Data protection
Application deadline: 06/29/2026

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machine learning Jobs in wien

2 University assistants predoctoral (group "Algorithms and Optimization")

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Ich möchte aktuelle Job-E-Mails für Stellen als machine learning in wien erhalten

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2 University assistants predoctoral (group "Algorithms and Optimization")

Ihr persönlicher Spielraum:

Your future tasks:

Requirements:

What we offer:

It is that easy to apply:

If you have any questions, please contact:

University of Vienna. Space for personalities. Since 1365.

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