We seek 20 faculty appointments at all seniority levels and in all research areas, with emphasis on theory and algorithms, quantum computing, AI/ML, human-centric computing, robotics, HPC/systems, networking/communications, graphics/visualization, cybersecurity/privacy, CSE + health/life sciences, computing for social good, data science/analytics, computational science, computing education
The Institute of Science and Technology Austria (IST Austria) invites applications for several open positions in all areas of computer science.
IST Austria values diversity and is committed to equal opportunities. We strive to increase the number of women, particularly in fields where they are underrepresented, and therefore we strongly encourage female researchers to apply.
The group of Theoretical Foundations of Artificial Intelligence at Technical University of Munich invites applications for the position of a full-time research position (PhD or Postdoc) for conducting research in the computational/statistical learning theory, specifically generalisation and consistency of neural networks.
We are seeking to hire ASAP a Research Scientist for the Mathematics of AI research group, with a demonstrated publication record in related areas of mathematics and theoretical computer science. We are specifically interested in expertise in formal logic as well as learning theory, generalizability, information theory, graph algorithms, reinforcement learning, and optimization.
A 2-year postdoc position is available at UNSW Sydney.
The position is part of a new research project on “Improved algorithms via random sampling” (Serge Gaspers, Fedor Fomin, Daniel Lokshtanov) funded by the Australian Research Council. It revolves around the design and analysis of parameterized, moderately exponential, randomized, and approximation algorithms for graph problems.
Unique among postdocs, these 3-year fellowships offer the opportunity to join a collaborative community that nurtures creative, transdisciplinary thought in pursuit of key insights about the complex systems that matter most for science and society. Benefits include research/collaboration funds, paid family leave, and a professional leadership & development program.