We still have one scientist/intern position available, who will be joining the auditory perception project (speech & EEG data). Please don't hesitate to send us an email (to i...@uploadai.com) if you are interested.
On Thu, Jun 18, 2020 at 3:14 AM Shell Xu Hu <dom...@gmail.com> wrote: > 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 i...@uploadai.com. We look forward to hearing from you! >
_______________________________________________ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
