Teaching and Research Associate
at Wirtschaftsuniversitt Wien
Wien, W, Austria -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 24 Apr, 2025 | USD 2786 Monthly | 25 Jan, 2025 | N/A | Structured Data,Knowledge Management,Final Draft,Artificial Intelligence | No | No |
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Description:
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
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 (Symbolic, Generative, Hybrid)
- Data Management
- Knowledge Graphs
- 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.
DO YOU WANT TO JOIN THE WU TEAM?
Then please submit your application by February 05, 2025 (ID 2303).
We are looking forward to hearing from you
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Education Management
Teaching / Education
Education, Teaching
Graduate
One of the following subject areas
Proficient
1
Wien, W, Austria