13/04/2023
Teaching and Research Associate wanted:
You want to understand how things are connected and make a fundamental impact on the further development of Next Generation Data Ecosystems and Artifical 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 June 01, 2023, 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 symbolic and subsymbolic 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 i. As such, we are looking for candidates who are willing to work in an international, interdisciplinary team at the intersection of
Datamanagement
Knowledge Graphs
Artificial Intelligence
to jointly develop our vision of "Natural" Data Understanding.
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 Graphsii as a backbone for hybrid AI. We expect candidates to join the team to have a strong background in at least one of these fields and be willing to learn/combine and apply different methods, which is what you should emphasize in your motivation letter.
ihttps://arxiv.org/abs/1908.02624, https://cra.org/ccc/ai-roadmap-executive-summary/ ii https://doi.org/10.1007/978-3-031-01918-0
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
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 athird of your working hours on writing your dissertation.
Exciting research projects on topics around Datamanagement, Knowledge Graphs, Artificial Intelligence and their applications in Industry and Business:
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 nternational research network with the opportunity for research visits to network partners.
What you have to offer
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,Information Systems, Business Informatics, Mathematics, Engineering, Social and economic sciences (e.g. Business Administration, Management or Economics), ), or a specialized related field to one of these areas
Language skills: You are fluent and able to express yourself very well in both spoken and written English.
Multimedia Teaching readiness: You already have experience or at least readiness in using 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:
Logical reasoning
Machine Learning
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)
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
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
If applicable: references for additional skills, such as research papers, certificates, recommendation letters from academic references
What we offer you
A top business and economics university with renowned experts on the faculty and a diverse range of subjects, triple accredited
Excellent infrastructure, both technologically and architecturally, and a wide range of WU service units
Diversity and appreciation in an open-minded, inclusive and family-friendly environment
Flexibility and individual freedom thanks to flexible working hours
Inspiring campus life with over 2,400 employees in research, teaching, and administration and approximately 21,500 students on a conveniently located, architecturally unique campus in the heart of Vienna
Generous support for continuing education and travel
The minimum monthly gross salary amounts to €2.457,98 (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 May 15, 2023 (ID 1719).
We are looking forward to hearing from you!
Authors: Aidan Hogan, Claudio Gutierrez, Michael Cochcz, Gerard de Melo, Sabrina Kirranc, Axel Pollcrcs, Roberto Navigli, Axcl-Cyrille Ngonga Ngomo, Sabbir M. Rashid, Lukas Schmclzciscn, Steffen Staab, Eva Blomqvist, Claudia d’Amato, José Emilio Labra Gayo, Sebastian Ncumaicr, Anisa Rula, Juan Sc...
