Senior AI Neuroscience Researcher

Develop computational neuroscience models of the human perceptual system, Explore multimodal representation in human perceptual system and the applications in deep learning models, Develop deep learning models with perceptually relevant signal processing and metrics. Technical depth: Strong technical background on neuroscience, solid knowledge of ML and AI fundamentals. Understanding of structural differences between Artificial Neural Networks and Biological Neural Networks. Ability to emulate cortical processes with CNNs. Explore new technologies: Openness to learn new skills, work with cutting-edge technologies, and innovate in new areas. Then influence and collaborate with business group partners putting the technology into production. Ability to leverage deepnet perception models to image/video/audio/cross modal applications. Work with a sense of Urgency: Respond assertively to changing trends and new technologies and creates new algorithms to capitalize on them. Take appropriate risks to be ahead of the competition and the market. Collaborate: Collaborate with and influence peers in developing industry-leading technologies. Work with internal experts and external trendsetters and technology drivers in academia and in partner enterprises. Experience with multimodal perception including vision, audition, and haptics are a plus.