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Field
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, understanding how bias propagates through chains of autonomous decisions becomes essential. The candidate will contribute to the development of empirically validated methods for identifying, measuring, and
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– unified autonomy architectures, foundation models and robot world models. Focus on implementable methods for onboard robotic autonomy. Experimental deployments and field evaluation of the conducted research
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. Duties of the position Fundamental contributions in foundation models for underwater robotics. Focus on implementable methods for onboard robotic autonomy. Experimental deployments and field evaluation
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approximation algorithm, using linear programming methods. Over the next years, the project will grow to a collaborate team of 4-5 PhD students and Postdocs. The successful candidate will work directly with the
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focuses on developing information theory, coding schemes, and other algorithmic methods for DNA data storage. Here is a video on the topic: https://www.bbc.com/future/article/20151122-this-is-how-to-store
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of the doctoral project is positively evaluated after the first two years. CMS’s inter-disciplinary team is performing research in the broad field of computational methods for the built environment. Particular