Current job advertisement (1519): Assistant professor, non-tenure track, fulltime

25. August 2022

You want to understand how things are connected and make a fundamental impact? 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
Fulltime, 40 hours/week
Starting November 01, 2022, and ending after 6 years

Qualified candidates with disabilities are especially encouraged to apply. Part-time employment is also possible.

You have decided to pursue an academic career and want to conduct research, teach, and be an active member of the scientific community in your field? Then, this Assistant Professor position is an excellent next step in your research career! The position is affiliated with the Institute for Data, Process and Knowledge Management ( in the workgroup lead by Prof. Marta Sabou. The workgroup performs foundational and applied research in the area of information systems enabled by semantic (web) technologies. It is very active in both basic and applied projects both in Austria and internationally. As an Assistant Professor in this group, you will have the opportunity to derive and advance your own research in the context of the group’s research focus, and work towards an outstanding academic record in research, teaching, as well as project acquisition and management.

What to expect

  • Outstanding research work: You will be conducting excellent research on topics relevant to the group, in particular related to the Semantic Web research area leading to publications in top journals and conferences.

  • Project work and acquisition: You will contribute to the several projects running in the group and actively apply for funds at national and European funding agencies.  

  • Teaching: You will be planning, designing and teaching courses and holding exams. The teaching load is 4H/semester (roughly equivalent to running two lectures per semester).

  • Student support: You will be available to answer students’ questions and act as an advisor for bachelor’s theses and as a co-advisor for master’s theses

  • Performing organizational and administrative tasks: You will be organizing and evaluating teaching activities, planning exams, keeping the budget in mind, contributing to the management of the working group.

  • Learning from top researchers: You will be working together with renowned researchers in your field and learning from them.

  • Building up a personal network: You will be using the post-doc phase to establish yourself as a researcher and expand your own professional network. To that end, you will benefit from the group’s network of academic and industrial partners.

What you have to offer

  •  Academic degree: You have a PhD/doctoral degree in a sub-area of Artificial Intelligence or another related computer science discipline. Ideally you have a minimum of two years of post-doc experience.

  • Promising publishing track-record: Your publication record should include papers that you have authored and championed individually, without the support of your PhD supervisor.

  • Advanced skills: You have experience with topics in the area of Semantic Web, Knowledge Graphs, Data Integration and Auditability. Experience with the following topics is not necessary but is an advantage: Industry 4.0., Data Privacy, Data Management.

  • Funding acquisition and management skills: You have experience with working in research projects, as well as applying for funding. Experience in working with industrial partners is an additional benefit. You have a proven record of performing (applied) research related to use cases from several application domains.

  • Teaching: You have proven experience of teaching university level courses. Experience with having conducted (or having supported) the supervision of master and PhD thesis is an advantage.

  • IT skills: You are familiar with programming languages (e.g., java, python), database technology and SQL, the semantic web technology stack (RDF, OWL, SPARQL, SHACL). Ideally, you also have experience with maintaining open source projects.

  • Language skills: You have an excellent command of the English language (both written and spoken). You are willing to learn German to a proficiency level that will allow you to teach in German within the next 2 years of the appointment.

  • Working style: You work independently, show initiative, and have outstanding self-organization skills.

  • Willingness to use multimedia teaching methods: You have experience in using multimedia teaching and learning formats or are willing to learn these.

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


The minimum monthly gross salary amounts to €4,061.50 (14 times per year). This salary may be adjusted based on equivalent 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 September 14, 2022 (ID 1519).
We are looking forward to hearing from you!

Our goal is to provide students and staff with safe attendance at WU. Therefore, proof of a complete Covid 19 vaccination is a prerequisite for employment. Exceptions apply if vaccination is not possible for medical reasons, which must be proven by a specialist's confirmation, or if there has been a recent recovery and corresponding proof (recovery certificate, separation notice, medical confirmation) is available and the willingness is expressed to complete any missing vaccination within the period recommended by the NIG. Persons who have been vaccinated with vaccines not authorised by the European Medicines Agency (EMA) provide proof of vaccination by means of proof of neutralising antibodies not older than 90 days. In all other cases, employment at WU is only possible if the willingness to obtain the vaccination against Covid-19 as soon as possible is expressed in the application procedure. A written declaration to this effect must be signed when signing the employment contract.

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