The new lab at UCSD, directed by Uri, is opening positions for machine learning/computer vision scientists. The lab is part of a new “Technology Sandbox” at UCSD, which includes a ThermoFisher cryoEM and mass spec center, a Nikon Imaging Center, and computational resources.

This is a university doctoral position that involves minor teaching duties. The precise research topics are negotiable within the scope of active research at IIS, including machine learning and growing levels of AI for computer vision and robotics. Of particular interest are topics in representation learning and causality for out-of-distribution situations.

The Faculty of Computer Science of HSE University invites applications for full-time, tenure-track positions of Assistant Professor in all areas of computer science including but not limited to artificial intelligence, machine learning, computer vision, programming language theory, software engineering, system programming, algorithms, computation complexity, distributed and parallel computation, bioinformatics, human-computer interaction, and robotics. The successful candidate is expected to conduct high-quality research publishable in reputable peer-reviewed journals with research support provided by the University.

The position integrates into an attractive environment of existing activities in artificial intelligence such as machine learning for robotics and computer vision, natural language processing, recommender systems, schedulers, virtual and augmented reality, and digital forensics. The candidate should engage in research and teaching in the general area of artificial intelligence. Examples of possible foci include machine learning for pattern recognition, prediction and decision making, data-driven, adaptive, learning and self-optimizing systems, explainable and transparent AI, representation learning; generative models, neuro-symbolic AI, causality, distributed/decentralized learning, environmentally-friendly, sustainable, data-efficient, privacy-preserving AI, neuromorphic computing and hardware aspects, knowledge representations, reasoning, ontologies. Cooperations with research groups at the Department of Computer Science, the Research Areas and in particular the Digital Science Center of the University as well as with business, industry and international research institutions are expected. The candidate should reinforce or complement existing strengths of the Department of Computer Science.