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. The position is intentionally interdisciplinary. We welcome candidates from control theory, nonlinear dynamical systems, applied mathematics, electrical or biomedical engineering, physics, computational science
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fusion plasmas in tokamaks. This position targets experts in control theory, data science, or machine learning who are seeking to apply their expertise to nuclear fusion, as well as researchers with
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About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms
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through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to advance
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& Abilities: Strong command of solid mechanics, especially in finite deformation and coupled continuum theories. Proven ability to translate continuum theory into verified finite-element code, including
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science. The research at the QNM-I covers a broad range of foundational and applied investigations on topics including quantum computation, control, measurement, communication, and simulation. The QNM-I is an active
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. Prepares research reports and technical papers for publishing. 3. Investigates the feasibility of applying a wide variety of scientific principles and theories. 4. Maintains substantial knowledge of state
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research reports and technical papers for publishing. 3. Investigates the feasibility of applying a wide variety of scientific principles and theories. 4. Maintains substantial knowledge of state-of-the-art
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engineering, or a closely related field, in hand by the date of appointment. ● Research experience performing first-principles electronic structure or density functional theory calculations using
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to characterize the brain network interactions using connectivity and graph theory metrics. Develop reproducible computational pipelines in MATLAB, Python, R, or similar platforms for electrophysiology processing