The Vienna-based Institute of Advanced Research in Artificial Intelligence is building a unique environment of world-class researchers and industrial-scale real-world data openly shared with the scientific community. The Institute takea a proudly interdisciplinary approach to bring together top talent from complementary fields, combining in-depth domain knowledge in AI, simulation, and geospatial analysis from academia and industry. All its research is open and published.
Institute of Advanced Research in Artificial Intelligence organizes and sponsors scientific visits, research exchanges, multi-month thematic focus programmes, and academic competitions such as Traffic4cast at NeurIPS.
The Institute is open to expanding its first-class faculty and expressly invites applications for
- Tenured Faculty Positions: with a concise statement of research interests and a full academic CV. Faculty Positions are endowed with generous discretionary funds for your research group and the complete freedom to pursue your ground-breaking academic research.
Institute of Advanced Research in Artificial Intelligence invites candidates to enquire about
Visiting Professorships: to exploit the Institute as a hub for scientific collaboration. Visiting Professorships are endowed with generous discretionary funds and the complete freedom to pursue your ground-breaking academic research.
Key Research Areas
The Institute pursues both basic and applied research in Artificial Intelligence.
Critical analyses and fundamental studies seek novel insights that shape the future of our society. Key areas of research include:
World Simulation – We train in simulators by reinforcement learning or other meta-learning strategies to study climate change models, smart cities, sustainable mobility, fleet management, etc.
Prediction through Description – We investigate the reliability and interpretability of modern machine learning models. We focus on high impact questions such as predicting patterns in urban traffic or large-scale rainfall, assessing climate change, biomedical image classification, and helping discover new drugs.
A Theory of AI – We work towards a rigorous understanding of the success of the latest ‘black-box’ algorithms that is also intuitive to humans.
Deadline: 18 November 2020.