36 monthsProgramme duration
SepStarting Month
Programme overview
Main Subject
Medicine Related Studies
Degree
PhD
Study Level
PhD
Study Mode
On Campus
The mission is to advance the understanding of human-AI interactions, harness insights from neuroscience to shape the development of intelligent machines and employ machines as powerful tools to unravel the mysteries of the human mind.
The focus lies in unravelling the complexities of the human mind through a synergistic approach that combines expertise in neuroscience, cognitive science, and AI technology. By studying the dynamic interplay between human cognition and machine intelligence, you will gain insights into the nature of intelligence and its manifestation in both biological and artificial systems. Studies will also span critical societal challenges that emerge from human-AI interactions.
You will integrate an experimental approach, computational modelling and theoretical frameworks. You will have the opportunity to engage in interdisciplinary collaborations and form strong industry partnerships. As such, the course will be a vibrant hub for cutting-edge research and intellectual exchange, driving advancements in the realms of minds, brains, and machines.
Programme overview
Main Subject
Medicine Related Studies
Degree
PhD
Study Level
PhD
Study Mode
On Campus
The mission is to advance the understanding of human-AI interactions, harness insights from neuroscience to shape the development of intelligent machines and employ machines as powerful tools to unravel the mysteries of the human mind.
The focus lies in unravelling the complexities of the human mind through a synergistic approach that combines expertise in neuroscience, cognitive science, and AI technology. By studying the dynamic interplay between human cognition and machine intelligence, you will gain insights into the nature of intelligence and its manifestation in both biological and artificial systems. Studies will also span critical societal challenges that emerge from human-AI interactions.
You will integrate an experimental approach, computational modelling and theoretical frameworks. You will have the opportunity to engage in interdisciplinary collaborations and form strong industry partnerships. As such, the course will be a vibrant hub for cutting-edge research and intellectual exchange, driving advancements in the realms of minds, brains, and machines.
Admission Requirements
Scholarships
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