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3 hours ago
Cognitive Systems and Human-AI Integration is a multidisciplinary field that seeks to augment human cognition, neuroplasticity, and learning through artificial intelligence. This role will delve into the intricacies of AI-driven learning systems, cognitive models, and experiments designed to push the boundaries of human potential.
Key Responsibilities:
- Conduct original research on neurocognitive processes, cognition, and AI augmentation.
- Design and execute experiments, cognitive models, and AI-driven learning systems to enhance human capabilities.
- Publish in high-impact peer-reviewed journals and present at global conferences to share knowledge and insights.
- Collaborate with faculty across psychology, AI, and education departments to foster interdisciplinary research and innovation.
- Support international grant proposals and cross-institutional collaborations to drive progress in the field.
- Mentor graduate and doctoral students in related research domains to nurture the next generation of experts.
- PhD (or nearing completion) in Cognitive Psychology, Neuroscience, Artificial Intelligence, or related fields.
- Strong publication record in recognized journals demonstrating expertise in AI and human cognition.
- Experience with neurocognitive research tools and machine learning frameworks to design and implement effective experiments.
- Demonstrated ability to work on complex, interdisciplinary research projects requiring collaboration and adaptability.
This opportunity offers a chance to contribute to groundbreaking research and collaborate with leading experts in the field, driving innovation and advancing our understanding of AI's potential to enhance human cognition.
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