Teaching and Research Associate

Vor 7 Tagen

Wien, Österreich Wirtschaftsuniversität Wien Vollzeit

Vienna University of Economics and Business
- Research, development, teaching
- Part time
- published till: 2025-02-05

**You want to understand how things are connected and make a fundamental impact on the development of the Next Generation Data Ecosystems and Artificial Intelligence?**
- 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. We are looking for support at the

**Institute for Data, Process and Knowledge Management**
Part-time, 30 hours/week
Starting March 01, 2025, and ending after 6 years

**Our vision**
- Artificial Intelligence (Symbolic, Generative, Hybrid)
- Data Management
- Knowledge Graphs
- GenAI)

**What we offer**:
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, such as foundational classes in Business Information Systems (Wirtschaftsinformatik) and assisting in classes on the MSc level in the area of Digital Economy.
- **Supervise students**: Advise students and co-supervise their theses and exams
- **Build a personal network**: Use the pre-doc phase to start building your personal network with contacts in research, industry, and business
- **Organizational and administrative support**: Support workshops and conferences we organize together with the Institute team on general tasks
- **Writing a dissertation**: You will be investigating your research topic and spending a third of your working hours on writing your dissertation.
- Opportunity to explore your own interests in these broad research areas
- Interdisciplinary research is encouraged.
- Teamwork with intensive research mentoring
- Participation in international conferences (e.g. ISWC, The WebConf, IJCAI, etc.) 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
- Computer Science, Digital Economy, Information Technology, Software Engineering, Data Science, Information Systems, Business Informatics, Mathematics, Engineering, Social and economic sciences (e.g. Business Administration, Management or Economics) with a degree where you a specialized in field related to areas that fit our research vision.
- **Language skills**: You are fluent and able to express yourself very well in both spoken and written English.
- **Willingness to use multimedia teaching methods**: You are prepared to use multimedia teaching and learning formats.
- **Additional skills**:Experience and intermediate to very good skills in at least one of the following research areas contributing to our research vision is an advantage:

- Machine Learning
- Logical reasoning
- Artificial Intelligence
- Data Mining
- Information Extraction
- Semantic Web Technologies
- Scalable and Decentralized Data Processing
- Data Science Data Analytics a Statistics (including R or Python)
- Database theory/Database query languages and query processing
- Software engineering (e.g. Java, Python)
- Emerging Paradigms such as Quantum Computing or GenAI and their foundations
- Interdisciplinary research (such as for instance combining technical with empirical research methods)
- Likewise, we appreciate:

- Teaching experience (e.g. prior experience in tutorials, workshops)
- German language skills, or demonstrated willingness to learn languages
- Research Experience:

- Prior experience in terms of already co-authored scientific articles is a plus, but not required, please detail your experiences and motivation for academic research in the required motivation letter.
- Curriculum Vitae
- Motivation Letter)*
- Transcript of your ongoing or finished Master’s Study
- Master thesis (or pre-final draft: if your thesis is not yet finished we require an accompanying statement by the thesis main supervisor confirming feasibility of finishing your degree by March 2025)
- If applicable: references for additional skills, such as research papers, certificates, teaching or tutoring experiences, (up to 3) recommendation letters from academic references
- Note: the motivation letter should include:

- (1) investigating and understanding the development and evolution of graph structures in real-world (Knowledge) Graphs (KGs)
- (2) connecting networks of KGs and other structured data corpora, leveraging ML and hybrid AI approaches (incl., for instance, foundation models and RAG), as well as graph modularization and federation techniques
- (3) leveraging both symbolic constraints and graph embeddings and learning approaches to the field of graph data quality improvements & repairs.
- Your background: What in your CV particularly qualifies you for a PhD position?

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