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We call for researchers who will join our research on assurance and management of the quality (including reliability and security) of artificial intelligence software using machine-learning techniques. Our project aims to produce a set of technologies which can test, measure, improve, and assure quality of machine-learned software, associated with technical foundations (toolchain, guidelines, standards etc.) to use these technologies for development of machine learning-based software of industrial quality. We are hiring researchers who are able:
1) to develop state-of-the-art technology/tools to be used for AI quality assurance,
2) to uncover currently-unknown background knowledge on the reason of degrading AI quality with innovative study and analysis,
3) to produce industrial foundation for realizing a high-quality AI software in the world, and/or
4) to conduct a real case study with industrial partners.
Applicants are expected to have expertise in one or more of the following areas:
・ software engineering (such as software testing, formal analysis, process management etc.),
・ artificial intelligence (e.g., understanding and explanation of internal structure of AI, attacks and countermeasures for AI), or
・ statistical analysis related to software development or machine learning.
This position is open to everyone who has significant experience, skills and achievements required for the project, regardless of whether the candidate holds Ph.D. degree or not.
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