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mainly based in New York University Abu Dhabi, UAE, and can closely collaborate with researchers from New York University, USA. The ideal candidate will have an excellent knowledge of cyber security and
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September 1, 2026, subject to final budget approval and is available for up to three years. The post-doctoral associate will spend half their time on independent research, and half their time on collaborative
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Gromacs, PLUMED and OpenMM will be very valuable. The successful applicant will have the opportunity to work with cutting-edge resources in a collaborative research environment between the campuses of New
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
the theoretical foundations of data science and AI. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and
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generative AI models to establish structure-property relationships for materials discovery. This individual will be expected to collaborate closely with the project team and coordinate efforts with
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background in physics and an interest in developing new quantum measurement platforms are especially encouraged to apply. The selected candidate will join a highly collaborative research environment and
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects and mentoring. Contribute to academic publications
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collaborative research environment within CQTS. The central responsibility of the position is instrument building: conceiving, prototyping, assembling, integrating, calibrating, automating, and troubleshooting
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of the advertised topics, as well as an excellent academic record. Candidates with PhDs in Physics or Computer Science may also be considered if they willing to collaborate with mathematicians on these topics
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that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems