Multiple Openings for Research Scientists and Interns at Upload AI, LLC, interested to Upload Neuroscience and Cognitive science knowledge into new AI.
Deep learning surpasses humans in many tasks but does not generalize well to new situations like humans do, and lacks interpretability. These flaws limit the utility of AI systems in interactions with humans. If you are interested in how to build less artificial, more intelligent and interpretable algorithms by learning from brains and human behavior and cognition, join our team! We are hiring at all levels, from interns to research scientists and engineers. We are looking for enthusiastic machine learning scientists and engineers with an entrepreneurial startup spirit with strong backgrounds in math, statistics, and machine learning (no experience in neuroscience, psychology or cognitive science is necessary). We aim to create the next generation of AI algorithms that will be more robust, generalize better, and can cooperate intuitively with humans. POSITIONS: We have opportunities to work on several AI projects in the US and Europe at multiple locations. All team members will interact extensively across multiple scientific disciplines and multiple sites. Highest-priority topics include: * Brain-inspired deep networks for vision and auditory perception with an emphasis on better generalization and interpretability. * Meta-learning, continual learning and few-shot learning with applications in object detection. * Efficient optimization algorithms for non-convex, non-smooth functions with applications in active learning. THE TEAM: The projects are led by Andreas Tolias <https://toliaslab.org/>, Xaq Pitkow <https://xaqlab.com/> and Jacob Reimer <https://www.bcm.edu/research/labs-and-centers/faculty-labs/jacob-reimer-lab> from Baylor College of Medicine, Matthias Bethge <http://bethgelab.org/> from University of Tübingen and the European Laboratory for Learning and Intelligent Systems, and Shell Xu Hu <http://hushell.github.io/> from Upload AI LLC <https://uploadai.com/>. APPLYING: The positions provide highly competitive salary and benefits, and outstanding scientific and career development opportunities. Applicants should email CV to [email protected]. We look forward to hearing from you!
_______________________________________________ uai mailing list [email protected] https://it.engineering.oregonstate.edu/mailman/listinfo/uai
