Artificial Intelligence (AI) Harvard University in United States

Apply for PhD positions in: - AI for Brain-Computer Interfaces - AI for Multimodal Biological DataApply now!hashtag#phd hashtag#ai hashtag#phdposition hashtag#higherstudy hashtag#scholarship…more Join Our Team at Harvard SEAS: Graduate Student Positions in AI for Brain Science and NeurotechnologyWe are seeking talented graduate students with a background in electrical engineering, computational science and machine learning to join our team at the Harvard School of Engineering and Applied Sciences (SEAS). We have two NIH and NSF-funded positions available:1. AI for Brain-Computer Interfaces2. AI for Multimodal Biological DataResearch Directions:Our lab has pioneered techniques to collect neural dynamics data and integrative spatially resolved single-cell multiomics data from the brain. We aim to leverage advancements in AI to develop models and agents that analyze these data, enhancing AI performance. Our group collaborates closely with Prof. Na Li in Applied Math and Electrical Engineering at Harvard SEAS.Data Analysis: Utilize chronic brain recordings to identify and interpret neural dynamics.Model Development: Create machine-learning models tailored to neural data.Pattern Recognition: Develop infrastructure to explain underlying data patterns.Algorithm Improvement: Design and refine machine-learning algorithms based on insights from neural dynamics.What We Offer:Cutting-Edge Research: Engage in pioneering research at the intersection of neuroscience and artificial intelligence.Interdisciplinary Collaboration: Work with a diverse team of experts in neuroscience, computer science, and machine learning.State-of-the-Art Resources: Access advanced computational tools and facilities.Professional Development: Opportunities for publishing research, attending conferences, and networking with professionals.Supportive Environment: A collaborative and innovative research environment that encourages creativity and intellectual growth.Who We Are Looking For:Educational Background: Very strong foundation in machine learning, computer science, or a related field.Technical Skills: Proficiency in Python and corresponding machine-learning libraries.Analytical Abilities: Strong problem-solving skills and the ability to interpret complex datasets.Collaborative Spirit: Enjoy working in an interdisciplinary environment and contributing to collective goals.Passion for Research: Genuine interest in advancing neural computations and artificial intelligence.For graduate students admitted to Harvard and MIT, please contact Prof. Jia Liu at [email protected]. Prospective students should apply directly through the Harvard SEAS graduate school application.…more