The primary objective of this position is to conduct basic research towards a unified understanding of intelligent systems, both artificial and biological.
The primary objective of this position is to conduct basic research towards a unified understanding of intelligent systems, both artificial and biological.
Identify engineering challenges at the frontier of artificial neural networks.
Seek principled solutions by combining empirical and theoretical approaches.
Take interdisciplinary approach integrating ideas from physics, neuroscience, and cognitive science.
Develop new algorithms based on the discovered principles.
A Ph.D. degree in a related field
A strong record of publications in top machine learning conferences such as NeurIPS, ICLR, and ICML
A willingness to continuously learn new subjects as necessary to cultivate new frontiers in research
The ability to deliver original ideas and novel concepts to inter-disciplinary colleagues.