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Field
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to contribute to the REGAIN-AI project, a newly established research initiative investigating reliability, sustainability, and self-adaptation in next-generation AI-enabled systems. Funded by the Novo
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operations and reliability Own day-to-day operations of the Data Platform across GCP and AWS which includes environment health, capacity, performance, cost, security posture and define and uphold SLOs
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work under the supervision of Prof. Flavio Calmon at Harvard SEAS . The postdoctoral researcher will develop information-theoretic methods for alignment, privacy, and reliability in modern AI systems
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amount of human feedback necessary for learning while improving the reliability of AI feedback. This PhD project aims to develop new RLHF methods that can leverage both human and AI feedback to train AI
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accuracy, reliability, and constraint satisfaction. This new framework would also allow higher flexibility in managing the trade-offs between solution accuracy, optimality, and computational
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pivotal leadership role in ensuring the accuracy, integrity, and reliability of constituent and organizational data across the enterprise. This is an exciting opportunity for a data-savvy professional
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an advantage Good oral and written communication skills in English Proven practical laboratory experience Independence, accountability, and reliability We offer: Supportive and international working
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thinking and learning processes Ability to work independently and take responsibility for one's own work Ability to work collaboratively Strong organizational and teamwork skills Reliability, strong
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characterization is desirable Fluent knowledge of written and spoken English High degree of motivation and reliability and analytical working style Excellent ability to cooperate and work in a team Our Benefits
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collaboratively as part of a research team. Intellectual curiosity, initiative, reliability, self-organization, and attentive to details. Before you submit your application, please ensure that your degree