Open to new ideas. Since 1365. The University of Vienna is a research university with high international visibility and a wide range of degree programmes. We are committed to basic research that is open to applications and to research-led teaching, as well as to the dialogue with economy and society.
A significant increase in funding enables the University of Vienna to invest in new professorships and tenure track professorships in the coming years. This enables the University to put an emphasis on interdisciplinary, cross-faculty research focusing on future-oriented subject areas that are relevant to society, such as data science and digital humanities, health and microbiome, society and communication, molecular biology and cognitive neuroscience as well as materials and quantum science.
Become part of this vibrant and future-oriented organisation.
Full details and the application deadline can be found at: http://tt-professuren.univie.ac.at/en
• Machine Learning (2 positions)
• Statistical Machine Learning
• Partial Differential Equations in the Applied Sciences
• Data Driven Partial Differential Equations
• In silico Metabolism for Drug Discovery
• Physical Chemistry
• Algebraic Topology
• Nutrition in the Prevention of Chronic Diseases
• Clinical Pharmacy
Classification according to the Collective Bargaining Agreement for University Staff: section 49, job group A2. We offer the opportunity to obtain a permanent position and eventual promotion to full professor. The successful candidate is hired as “Assistant professor” for a maximum duration of six years. If the candidate meets the conditions stipulated in the qualification agreement, the assistant professor is promoted to tenured “associate professor”, i.e. obtains a permanent position. Associate professors can be promoted to “full professor” through a university-internal competitive procedure.
The University of Vienna pursues a non-discriminatory employment policy and values equal opportunities, as well as diversity (http://diversity.univie.ac.at). The University puts special emphasis on increasing the number of women in senior and in academic positions. Given equal qualifications, preference will be given to female applicants.