TU WIEN - Assistant Professorship t.t. Natural Language Processing for Complexity Science and Societal Insight

TU Wien is Austria's largest institution of research and higher education in the fields of technology and natural sciences. With over 26,000 students and more than 4000 scientists, research, teaching and learning dedicated to the advancement of science and technology have been conducted here for more than 200 years, guided by the motto "Technology for People". As a driver of innovation, TU Wien fosters close collaboration with business and industry and contributes to the prosperity of society.

Frist: 04.01.2024

TU Wien is among the most successful technical universities in Europe and it is Austria’s largest scientific-technical research and educational institution. The Faculty of Informatics, one of the eight faculties at the TU Wien, plays an active role in national and international research and has an excellent reputation. The main areas of research include Computer Engineering, Logic and Computation, Visual Computing & Human-Centered Technology, as well as Information Systems Engineering.


Complexity Science successfully models multiple aspects of society to provide key insights to decision makers. This success arises through understanding data not in isolation but taking the complexity of interdependencies and interconnections into account. Benefits include using insights obtained from the data to improve public services, or to better understand the impacts on society of changes in legislation or of external factors such as natural disasters.

A data modality that is not used to its full potential in Complexity Science is text from multiple potential sources: government (e.g. patents, legislation, court decisions), commercial (e.g. company annual reports), medical (e.g. patient records), scientific (e.g. scientific papers, historical documents), and civil (e.g. social media). Text analysis approaches need to be developed to reliably extract trustworthy information from potentially noisy text as input to models and simulations. As the text data is often analysed for purposes for which it was not originally collected, it is necessary to compensate for potential biases. The candidate is expected to contribute both to methodological work on text analysis approaches as well as to applied work on solutions to real-world problems in an inter-disciplinary setting.

The candidate will work at the interface of Data Science and Complexity Science together with governments and public administrations, and should therefore also pay attention to presenting results in a suitable way for use by decision makers. The Digital Humanism Initiative on ensuring that technology development remains centred on human interests should play a central role in this work (https://informatics.tuwien.ac.at/digital-humanism/).

Candidates should have a background and experience in building prototypes that target a well-defined application area and analyse real-world data. The following list highlights some potential research topics of a successful candidate:
  • Natural Language Processing
  • Computational Linguistics
  • Text Mining
  • Information Extraction
  • Information Retrieval
  • Experiment design and evaluation
  • Network Science
  • Privacy-aware analytics
  • Data fusion

Furthermore, a successful candidate should have an interest in:
  • Human-in-the-loop
  • Explainability and interpretability
  • Algorithm and data biases

The candidate should have experience in working with industry or public administrations, relevant postdoctoral experience, and a compelling research vision. We are particularly interested in candidates working in areas that will complement our existing expertise and lead to fruitful collaborations with other members of TU Wien Informatics, TU Wien in general, and the Complexity Science Hub Vienna.
Besides research, the duties of an Assistant Professor at TU Wien include graduate and undergraduate teaching (in English and German) as well as contributing to usual management and faculty service tasks.

Your profile:

Applicants are expected to have the following qualifications.

  • PhD or doctoral degree in Computer Science, Computational Linguistics, Statistics, Applied Mathematics, or related subjects
  • Post-doctoral experience at a university or other research institution
  • An outstanding research and publication record
  • Excellence in written and spoken English
  • Proficiency in German or willingness to quickly acquire German language skills
  • Experience in inter-disciplinary research
  • An excellent reputation as an active member of the international scientific community
  • Experience in raising research funds and managing scientific research projects
  • Experience with scientific project collaborations
  • Experience in university teaching as well as supervision or co-supervision
  • Pedagogic and didactic skills
  • Administrative and organizational skills
  • Gender sensitivity and social skills

  • Leadership skills

We offer:

  • Excellent working conditions in an attractive research environment
  • An attractive salary, including additional contributions to a pension fund
  • Support for relocating to Vienna (if required)
  • A position in a city with an exceptional quality of life
  • Central location of workplace with very good accessibility (U1/U4 Karlsplatz)
  • Additional benefits for employees can be found at the following link: Fringe-Benefit Catalogue of TU Wien

General information can be found at the following links:
TU Wien is committed to increasing the proportion of women in particular in leadership positions. Female applicants are explicitly encouraged to apply. Preference will be given to women when equally qualified, unless reasons specific to a male applicant tilt the balance in his favour.

People with special needs are equally encouraged to apply. In case of any questions, please contact the confidant for disabled persons at the university, Mr. Gerhard Neustätter.
The employment starts as University Assistant with a minimum salary of EUR 4,351.90 gross (14 x per year) according to the collective bargaining agreement for a PostDoc. After signing the qualification agreement, the employment continues as Assistant Professor with a minimum salary of EUR 5,124.20 gross (14 x per year).

We look forward to receiving your application until January 04th, 2024.

Applications have to include the following documents:
  • A detailed curriculum vitae
  • letter of motivation
  • A teaching statement: 2 pages maximum
  • A research statement: brief summary of past research activities, as well as a convincing outline of planned research activities, and an explanation of their contribution to the scientific profile of the Faculty of Informatics; 4-6 pages maximum; incl. abstract
  • Certificates of doctoral and diploma degrees should be uploaded under the category: +add more documents
  • A list of publications and copies of the applicant’s three most important publications related to the position together with an explanation of their relevance should be also uploaded under the category: +add more documents