Recent, dramatic advances in machine learning and AI, such as large language models and deep and recurrent neural networks, have opened the door to powerful new interdisciplinary collaborations between neuroscience and computer science, aimed at unlocking the basis of biological and artificial intelligence. Despite the power of current AI models, we are finding they are not as powerful as the brain in terms of efficiency and learning; neuroscience can inform and inspire better AI architecture. Researchers at PNI are currently working at the intersection of neuroscience and AI to gain new insights into neural data, generate new hypotheses for understanding the brain and behavior, and develop the next-generation AI architectures inspired by the brain. Current Opportunity Assistant Professor of NeuroAI & Intelligent Systems The Princeton Neuroscience Institute and Department of Computer Science at Princeton University invite applications for a new faculty position in the area of NeuroAI and Intelligent Systems, at the Assistant Professor rank. We welcome applications from all areas of computer science, machine learning, and human cognitive and computational neuroscience. We particularly encourage candidates whose work includes deep learning approaches to brain and behavior, and neurally inspired AI. Upcoming Event Oct 19 Princeton Symposium on Biological & Artificial Intelligence The Symposium will bring together researchers at Princeton and the broader New York area, who work on problems cutting across the boundaries of biological and artificial intelligent systems. Location PNI, Washington Road, Princeton, NJ Associated Programs at Princeton Princeton Language and Intelligence (PLI) Princeton University has launched a new multidisciplinary initiative, Princeton Language and Intelligence (PLI), that seeks to develop fundamental understanding of large AI models; investigate their application to research and education across academic disciplines (including science, humanities, social sciences, and engineering); and study societal and ethical issues arising from AI as well as development of methods to avert any of its harms. The exponential growth of language and intelligence in machines may revolutionize our research and teaching, as well as launch new disciplines. PLI looks forward to engaging with all of you as we enter this new frontier. Computer Science at Princeton Princeton has been at the forefront of computing since Alan Turing, Alonzo Church and John von Neumann were among its residents. The CS department is home to about 60 faculty members, with strong groups in theory, networks/systems, vision/graphics, architecture/compilers, programming languages, security/policy, machine learning, natural language processing, human-computer interaction, robotics, and computational biology. Faculty Jonathan Cohen Robert Bendheim and Lynn Bendheim Thoman Professor in Neuroscience Nathaniel Daw Huo Professor in Computational and Theoretical Neuroscience Tatiana Engel Assistant Professor Uri Hasson Professor Yael Niv Professor Kenneth Norman Huo Professor in Computational and Theoretical Neuroscience Jonathan Pillow Professor H. Sebastian Seung Evnin Professor in Neuroscience
