The IDea_Lab of the University of Graz is seeking to appoint a

A central aspect of digitalization in terms of both research and everyday life are steadily increasing amounts of data (Big Data). This entails methodological questions such as the identification of basic parameters (feature engineering), the quantification of uncertainties, the discovery of patterns and causalities, the appropriate explanation of solutions (e.g., by means of Interpretable AI, or Explainable AI), as well as interdisciplinary applications ( e.g, in the humanities, natural sciences, law, social sciences or economics. The professorship deals with the foundations of analysis methods and models in data science, focusing on Big Data in an interdisciplinary context within a regular university and in coordination with the professorship “Machine Learning Methods”. Suitable candidates deal with topics such as feature engineering in large amounts of data, the discovery of causal relationships, the analysis and quantification of uncertainties in data-based predictions and decisions, as well as deterministic, statistical or Bayesian models. The professorship is intended to strengthen the methodological competence of the IDea_Lab and promote interdisciplinary research in the field of Data Analysis within the entire University of Graz and to represent it in teaching. Starting from the cross-faculty IDea_Lab, the to-be-appointed professor has an intrinsic interest in networking the field within the University of Graz, using excellent communication skills, and in establishing the field jointly with the professorship Machine Learning Methods as well as research partners at the different faculties/departments, using novel interdisciplinary concepts and research approaches.

Employment requirements:

• Austrian or equivalent foreign higher education degree corresponding with the position (doctorate/PhD)
• Habilitation or equivalent qualification in accordance with the advertisement
• Outstanding academic qualifications in research and teaching in the relevant discipline and for the profile of the professorship (commensurate with stage of academic career)
• Success in attracting subject-specific project grants, particularly where competitively awarded third-party funds are concerned
• Skills in higher education didactics and online teaching
• Skills in the supervision and guidance of early career researchers
• Professional experience abroad during academic career
• Management and leadership experience
• Gender mainstreaming skills
• Good knowledge of English and willingness to learn German
• Experience with interdisciplinary teaching
• Experience with interdisciplinary collaboration in the context of Data Analysis (displayed e.g., through publications or projects)

The successful candidate will be highly motivated, aiming for academic excellence and integrity in research and teaching. He/she will have demonstrated ability to collaborate constructively in a responsible manner and inspire colleagues and students in an interdisciplinary, internationally oriented context.

We offer a diverse, challenging, team-oriented working environment and a high degree of personal responsibility. Working hours are flexible and there are many options for further education and personal development.

Classification

Salary scheme of the Collective Bargaining Agreement for University Staff (Universitäten-KV): A1

Minimum salary

The minimum remuneration as stated in the Collective Bargaining Agreement is EUR 81.571,00 gross per year. Salary subject to negotiation.