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University of Vienna
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Tenure-Track Professor in the Field of Business Informatics
Austria
· Contract
·
Mid-Senior
39 Faculty of Computer Science
Working hours: 40
Limited until: permanent
Reference no.: 3706
The position
We are looking for an outstanding scientist with a strong track record in the area of Business Informatics and a strong background in Computer Science. Special subareas of interest include, but are not limited to: intelligent information systems, enterprise database technology, machine learning or data mining for business applications, process mining/process analysis, blockchain-based systems, modeling and formalization of domain-specific knowledge, model-based software aspects, explainability, security, trust and transparency, as well as information systems architectures. Research activities are expected to contribute to the transdisciplinary intersection of computer science with business applications.
With more than 200 scientific and general staff members and its central involvement in the research network Data Science @ Uni Vienna, the Faculty of Computer Science participates in many national and international cooperation projects with economic and scientific partners. In addition to working on current research topics, these cooperations also facilitate research-led teaching and the integration of advanced students into an attractive, international research climate. The Faculty of Computer Science provides an excellent research environment, including infrastructure such as laboratory space and dedicated servers for compute-intense research activities.
The academic research at the Faculty of Computer Science is focused on the following four research focus areas:
https://informatik.univie.ac.at/en/
Your Academic Profile
We Offer
[email protected]
Only applications submitted through the link "Apply now" below will be considered.
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: 03/18/2025
Reference no.: 3706
Tenure Track Professorships
https://academicjobs.univie.ac.at/datenabfrage/TT0225INF01
Working hours: 40
Limited until: permanent
Reference no.: 3706
The position
We are looking for an outstanding scientist with a strong track record in the area of Business Informatics and a strong background in Computer Science. Special subareas of interest include, but are not limited to: intelligent information systems, enterprise database technology, machine learning or data mining for business applications, process mining/process analysis, blockchain-based systems, modeling and formalization of domain-specific knowledge, model-based software aspects, explainability, security, trust and transparency, as well as information systems architectures. Research activities are expected to contribute to the transdisciplinary intersection of computer science with business applications.
With more than 200 scientific and general staff members and its central involvement in the research network Data Science @ Uni Vienna, the Faculty of Computer Science participates in many national and international cooperation projects with economic and scientific partners. In addition to working on current research topics, these cooperations also facilitate research-led teaching and the integration of advanced students into an attractive, international research climate. The Faculty of Computer Science provides an excellent research environment, including infrastructure such as laboratory space and dedicated servers for compute-intense research activities.
The academic research at the Faculty of Computer Science is focused on the following four research focus areas:
- Algorithms
- Data Science
- Systems
- Human-Centered Computing
https://informatik.univie.ac.at/en/
Your Academic Profile
- Doctoral degree/PhD
- Two years of international research experience during or after doctoral studies
- Outstanding research achievements, excellent publication and funding record, international reputation
- Gender and diversity competence
- Experience in designing of and participating in research projects, ability to lead research groups and acquire third-party funding
- Enthusiasm for excellent teaching and supervision at the bachelor's, master's, and doctoral level
We Offer
- the opportunity to obtain a permanent position and eventual promotion to full professor; the initial contract as Assistant Professor is limited to six years, after positive evaluation of a qualification agreement the contract becomes permanent as Associate Professor; Associate Professors can be promoted to Full Professor through an internal competitive procedure.
- a dynamic research environment
- a wide range of research and teaching support services
- attractive working conditions in a city with a high quality of life
- an attractive salary according to the Collective Bargaining Agreement for University Staff (level A2) and an organisational retirement plan
- Letter of motivation
- Academic curriculum vitae
- education and training (PhD Certificate, PDF)
- positions held to date
- career breaks (e.g. relevant parental, family or other care periods)
- awards and honors
- commissions of trust
- previous and current cooperation partners
- complete list of acquired third-party funding and, if applicable, of inventions/patents
- list of most important scientific talks (max. 10)
- teaching and mentoring
- supervision experience (Master and PhD), if applicable
- List of publications
- link to your own publicly accessible ORCID record, with a complete and current publication list
- three key publications as electronic full text version (PDF, max 30 MB)
- Research statement
- most important research achievements (max. 2 pages) and planned future research activities (max. 4 pages)
- synopsis of three key publications with relevance to the position advertised
- publication strategy
- Teaching and supervision statement
- teaching and supervision concept, including a description of the previous and planned priorities in academic teaching and supervision (max. 2 pages)
- teaching evaluations (if available, PDF)
[email protected]
Only applications submitted through the link "Apply now" below will be considered.
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: 03/18/2025
Reference no.: 3706
Tenure Track Professorships
https://academicjobs.univie.ac.at/datenabfrage/TT0225INF01
Key Skills
Ranked by relevance
machine learning
data mining
blockchain
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- Posted
- Feb 21, 2025
- Type
- Contract
- Level
- Mid-Senior
- Location
- Innere Stadt
- Company
- University of Vienna
Industries
Higher Education
Categories
Education
Training
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
PHD_ Professor(Data Science/Management )
2026-05-20
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Education
View Job Details
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Professor(a)-autor(a) | Curadoria e Validação de Conteúdo - MONETIZAÇÃO DE ATIVOS DIGITAIS E NFTS - EdTech | Vitru
2026-05-21
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Visiting Faculty Position in Data Science | College of Arts and Sciences
2026-05-17
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