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research position: Research Scientist, Google Research, Brain Team
Where: Tokyo, Japan Japan
What: As a Research Scientist on the Brain team, you will grow the team’s existing efforts at bridging the gap between machine learning and complex systems. You must have a passionate interest in areas such as collective intelligence, cellular automata, Lindenmayer systems, neuroevolution, artificial life, self-organizing systems, or open-ended novelty search, and demonstrate a working knowledge of deep learning frameworks.

You are expected to develop research ideas, implement new algorithms by yourself and execute large, distributed parallel computation experiments.

-Develop and execute a research agenda
-Develop and implement models and conduct large scale computational experiments
-Communicate research findings via publications, open-source projects, web articles, and be an active part of the broader research community

Minimum qualifications:
-PhD degree in Computer Science or a related technical field, or equivalent practical experience
-Experience programming in Python, working with multi-processing libraries. Experience with deep learning frameworks (e.g., JAX)

Preferred qualifications:
-Contributions to research efforts, including publications in journals such as Complex Systems, ALIFE, or conferences such as GECCO, or publication of articles related to complex systems topics (self-organization, cellular automata, collective intelligence, open-endedness, etc) in recognized machine learning or scientific venues such as NeurIPS, ICLR, ICML, AAAI, JMLR, CVPR, IROS, Nature, etc.
-Contributions to open-source projects that embody novel technologies related to complex systems; creation of interactive web demos or visualizations of complex systems; organizing workshops or other community-building efforts related to the field.
-Excellent written and verbal communication skills to disseminate research findings.

Who: Erik Carlblom, erikcarlblom@google.com
When: Until 2021-08-30 11:00
Presented at next GECCO?: yes

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