Teaching and Research Associate

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 November 01, 2024, and ending after 5 years   Our vision  In our research group on Data Management within the Institute for Data, Process and Knowledge Management at WU Vienna, we are convinced that the future of Artificial Intelligence and Datamanagement will be shaped by Open Knowledge Repositories such as Knowledge Graphs, as well as combined approaches (Hybrid AI) that leverage both unstructured text data, structured data, as well as other multi-modal data, inline, for instance, with respective recent AI roadmaps, and acknowledging fastly emerging disruptive trends and technologies (e.g. Generative AI, Quantum AI, etc.). As such, we are looking for candidates who are willing to work in an international, interdisciplinary team at the intersection of 

• Artificial Intelligence
• Data Management
• Knowledge Graphs
• Complementary Emerging Technologies that may disrupt Data and Information Management (Quantum Computing, GenAI) 

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 (https://doi.org/10.1007/978-3-031-01918-0) as a backbone for hybrid AI and sustainable Data Governance in the age of AI.    We expect candidates to join the team to have a strong background/interest in at least one of the above-mentioned fields and be willing to learn/combine and apply different methods, which is what you should emphasize in your motivation letter.    What we offer: We offer access to an excellent national and international interdisciplinary network of researchers with the ambition to boost AI at WU and in Austria, for instance through our research on foundations of AI in the recently funded "Bilateral AI" national Cluster of Excellence (https://www.bilateral-ai.net/). The institute also parttakes in and drives interdisciplinary research and networking activities on applying AI in various business domains through WU's recently founded Applied AI Network (https://www.wu.ac.at/en/applied-ai-network) and provides the necessary computing infrastructure through WU's cross-departamental Research Institute for Computational Methods (https://www.wu.ac.at/en/firm).  

• Academic degree: You have completed or will shortly complete a master's degree that qualifies you for enrolling in a PhD program at WU in one of the following subject areas:
  • 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.

Do you want to join the Institute for Data, Process and Knowledge Management? Then please submit your application including 

• 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 the end of 2024)
• If applicable: references for additional skills, such as research papers, certificates, (up to 3) recommendation letters from academic references

  We are looking forward to hearing from you! ! If you have any questions regarding the position or application documents, don't hesitate to contact me for further information at Prof. Axel Polleres  (axel.polleres[at]wu.ac.at)

Curious? Visit our website and find out more at www.wu.ac.at/benefits.

The minimum monthly gross salary amounts to EUR2.684,10 (14 times per year). This salary may be adjusted based on job-related prior work experience. In addition, we offer a wide range of attractive social benefits.

Do you want to join the WU team?
Then please submit your application by October 02, 2024 (ID 2207).
We are looking forward to hearing from you!