Job opportunity Assistant Professor, non-tenure track at Wirtschaftsuniversität Wien Jobportal

• Datamanagement
• Knowledge Graphs
• Artificial Intelligence

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.
• Exciting research projects on topics around Foundations of Artificial Intelligence, Intelligent Data Management and Data Governance, Knowledge Graphs, and their applications in Industry and Business.
  • 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.
  • Your respective degree is in one of the following subject areas:
    • 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 athletic activities and a meal allowance to a variety of employee discounts

• Scientific CV, including academic degrees, previous employment (if any), list of publications, lectures, awards and distinctions. Career-breaks (e.g., unemployment, parental/health leave) should also be included to ensure fair assessment based on effective ‘academic age’.
• Submitted doctoral thesis or pre-final draft version (in case the PhD is not yet finished we require an accompanying statement by the thesis main supervisor confirming feasibility of finishing the PhD by the end of 2024)
• Transcript of your ongoing or finished Doctoral Study
• Research statement, outlining the planned research, goals and significance, detailing the connection between symbolic and sub-symbolic aspects and including a rough indication of timeline and key milestones. The research topic must either refer to specific projects for which postdoc opportunities were posted, or it must be described how it fits in the research plan of BILAI in a broader sense. Please refer in your application to specific Research Modules of the BILAI project, cf. https://www.bilateral-ai.net/research-modules/, with a special focus on RM1.
• Selected supervisors from the BILAI consortium, indicating the main supervisor and a list of possible secondary supervisors from the list of BILAI's Key researchers, cf. https://www.bilateral-ai.net/consortium/ For this specific position located at the institute of Data, Process and Knowledge Management at WU Vienna, the main supervisor will be Prof. Axel Polleres.
• Career motivation, discussing mid-term career objectives, motivation for the choice of research project, justification of the choice of host institutions, and foreseen impact on the future career.
• Contact details of three reference persons who are willing to provide a letter of recommendation. The letters should be sent to a dedicated email address before the application deadline.
• Statement of teaching experiences and interests (if applicable), possibly including teaching evaluations.
• Additional documents may be requested as part of the application process.