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mathematical background, with roots in either communications engineering or quantum information science. Familiarity with classical and/or quantum coding theory is considered a strong plus. Affinity with
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in symplectic topology, mirror symmetry, geometric topology, dynamical systems, algebraic geometry, number theory, and mathematical aspects of quantum field and string theory. IBS-CGP is located
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degree in electrical engineering, energy systems, applied mathematics, operations research, or a related field. Core competencies: • Strong background in mathematical modeling and optimization applied
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, engineering, mathematics, physics or related field; strong programming skills; interest in ML, computer vision, robotics, embodied AI or autonomous systems; motivation for independent research and high-quality
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in computer science, AI, engineering, mathematics, physics or related field; strong programming skills; interest in ML, computer vision, robotics, embodied AI or autonomous systems; motivation
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. This may be extended to include potential flow theory based modelling as well. Develop deep learning surrogate models for fast prediction of motions, stresses, and loads Validate the deep learning model
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You will develop the theory that connects quantum experiments with mechanical systems to questions in fundamental physics, establishing what such experiments can and cannot reveal about nature. Job
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
of existing approaches. The existing detection criteria target changes of elastic stability, which can be computed either by using the optimal control theory or analyzing the Hessian matrix of the robot
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of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce
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Are you fascinated by application-oriented research in mathematics and eager to work at the interface of numerical optimization, optical design, and uncertainty quantification? In this PhD project