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, differential equations, linear algebra to answer how neural computations are implemented in neural networks, both in individual neurons and at the level of large circuits. We are computational group that works
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, Teamwork, Safety, and Service Basic Qualifications: A Ph.D. degree in Mathematics, Computer Science, Physics, Chemistry, Engineering, or a related discipline. A strong foundation in linear algebra (tensor
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of these four fields. Based upon available funding, this position may have a teaching load of up to 3 courses per year, which range from standard subjects like calculus or linear algebra, to other more advanced
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of computing, automata theory, graph theory, discrete mathematics, probability theory and stochastics, and linear algebra. We also value skills in e.g. using computational techniques in TCS, familiarity with
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of compiler- or AI‑generated code. Mathematical Foundations: Background in linear algebra, graph algorithms, and related areas central to dataflow and tensor optimization. Hardware/Software Co‑Design
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research and development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1