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University Assistant Post-Doc (all genders)

University Assistant Post-Doc (all genders)

University Assistant Post-Doc (all genders)

University Assistant Post-Doc (all genders)

Technische Universität Wien

Forschung

Wien

  • Art der Beschäftigung: Vollzeit
  • Vor Ort
  • Zu den Ersten gehören

University Assistant Post-Doc (all genders)

Über diesen Job

Position
Senior Scientist / Postdoc
Published
Closing Date
TU-ID: 192 limited 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.

At the Institute of Logic and Computation , in the Research Unit of Databases and Artificial Intelligence (192-02) TU Wien is offering a position as University Assistant (Post-Doc) until expected 31.01.2027 for 40 hours/week. Expected start: May 2026.

Tasks:

  • Work on the development and implementation of the AI4all project across Bachelor’s, Master’s, and extension programmes at TU Wien
  • Work on the design, implementation, and scaling of a blended-learning module on foundational AI and data-management concepts within the project
  • Research on using knowledge graphs and graph technologies to bring meaning to large amounts of heterogeneous data, enable novel perspectives of analysis, and make data and results accessible
  • Independent teaching or participation in teaching and supervision of students
  • The ability to develop methods, concepts, as well as their realization and evaluation and the willingness to contribute in interdisciplinary projects
  • Research activities in the relevant field
  • Participation in organizational and administrative tasks of the research division and the faculty

Your profile:

  • Completion of an appropriate doctorate
  • In-depth knowledge of the subject area
  • In-depth knowledge and experiences with knowledge graphs, associated technologies, and their applications in the health domain
  • Teaching experience in areas covered by the AI4all module (AI and Data Management)
  • A strong interest and enthusiasm for teaching and engaging with students
  • Publications in recognized journals and conferences
  • Experience in national and international research cooperation as well as in project management and presentations
  • Interdisciplinary work
  • Organizational and analytical skills as well as a structured way of working
  • Teamwork skills, communication skills, and problem-solving competence
  • Excellent command of English; knowledge of German is an advantage
  • Enthusiasm, sense of responsibility, capacity for reflection, willingness to learn, accuracy, and the ability to work effectively in diverse environments

We offer:

  • A diverse and exciting range of responsibilities within a collegial team
  • A range of attractive social benefits (see Benefits )
  • Extensive internal and external training opportunities; various career development options
  • A central location with excellent public transport connections (U1/U2/U4 Karlsplatz)


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.

Entry level salary is determined by the pay grade B1 of the Austrian collective agreement for university staff. This is a minimum of currently EUR 2,507.20/month gross, 14 times/year for 20 hours/week. Relevant working experiences may increase the monthly income.

We look forward to receiving your application until May 7th, 2026.

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Unternehmens-Details

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Technische Universität Wien

Forschung

1.001-5.000 Mitarbeitende

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