Assistant Professor, Non-tenure Track
vor 4 Monaten
Vienna University of Economics and Business- Research, development, teaching- Fulltime- published till: 2024-10-02**You want to participate in Austria's largest joint project on fundamentals of Artificial Intelligence and contribute to WU Vienna’s vision on boosting AI? **You want to understand how things are connected and make a fundamental impact? We offer an environment where you can realize your full potential. At one of Europe’s largest and most modern business and economics universities. On a campus where quality of work is also quality of life. You want to participate in Austria's largest joint project on fundamentals of Artificial Intelligence and contribute to WU Vienna’s vision on boosting AI? We are looking for support at the
**Institute for Data, Process and Knowledge Management**
Fulltime, 40 hours/week
Starting November 01, 2024, and ending after 1,5 years
- WU and the whole BILAI consortium aim to reach out to excellent postdocs from all over the world with a special focus on diversity (e.g. female researchers) and applicants from underrepresented countries.
**Information on the Host institute**:
- **Datamanagement**:
- **Knowledge Graphs**:
- **Artificial Intelligence**
- to jointly develop our vision of **_"Natural" Data Understanding_** and **_Intelligent Data Management_**. In our group we use a mix of approaches to combining methods to integrate and automate quality improvement of structured and non-structured data with a focus on leveraging and building Knowledge Graphs [6] as a backbone for hybrid AI and sustainable Data Governance in the age of AI.
What to expect
- **Research life**: Collaborate with your colleagues on ongoing research projects at the Institute. Support Institute research projects and set up your own projects with a focus on bringing the above outlined vision forward.
- **Teaching**: Plan, create and teach courses and contribute to curriculum development
- **Supervise students**: Advise students and (co-)supervise their theses and exams
- **Build a personal network**: build your personal network with contacts in research, industry, and business within the institute’s excellent international collaboration network
- **Organizational and administrative support**:Support or (co-)organize workshops, summer schools as well as national and international conferences we run together with the institute team and the BILAI consortium.
- **Work on a habilitation**: as a postdoctoral researcher, you have the opportunity to work towards your habilitation, building up your own independent research profile.
- Opportunity to explore your own interests and contributing to the BILAI vision
- Interdisciplinary research particularly focusing on foundational research combining different AI approaches is encouraged.
- Teamwork with intensive research mentoring through the BILAI network
- Participation in international top conferences or topic-related summer schools
- Profit from and become part of our international research network with the opportunity for research visits to network partners.
What you have to offer
- **Academic degree**:
- _For qualifying for the postdoc position, you have completed a PhD, or will shortly complete a PhD or doctorate._
- Computer Science, Digital Economy, Information Technology, Software Engineering, Information Systems, Business Informatics, Mathematics, Social and Economic sciences (with a focus on areas related to the above research vision).
- **Research experience**:
- We expect a proven research track record in terms of high-quality, peer-reviewed publications, as well as a motivating research statements that explains how your expertise contributes to the institute’s and BILAI’s vision. Experience in at least one of the following research areas and their combinations is a particular advantage:
- Logical reasoning and Symbolic AI
- Machine Learning and Subsymbolic AI
- Semantic Web Technologies and Knowledge Graphs
- Scalable and Decentralized Data Processing
- Information Extraction and Data Mining
- Data Science, Data Analytics and Statistics (including R or Python)
- Database theory, Database query languages and query processing
- Software engineering
- **Language skills**: You are fluent and able to express yourself very well in both spoken and written English. German language skills, or demonstrated willingness to learn languages is a plus
- **Willingness to use multimedia teaching methods**: You are prepared to use multimedia teaching and innovative learning formats.
What we offer you
- **Inspiring campus life **with over 2,400 employees in research, teaching, and administration and approximately 21,500 students
- **A modern campus with spectacular architecture** in the heart of Vienna
- **Excellent accessibility by public transportation**:
- **Meaningful work** in an open-minded, inclusive, and family-friendly environment
- **Flexible working hours**:
- **A wide range of benefits**, from an in-house medical officer to athle
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