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hace 2 semanas
We are seeking two postdoctoral researchers to work on various topics related to the analysis of complex high-dimensional data. This includes new directions in high-dimensional statistics, statistical learning for non i.i.d. data, change-point detection, deep learning, and stochastic gradient descent.
We offer a scope that allows for sub-projects related to mathematical statistics and statistical learning theory, Bayesian statistics, theory of neural networks, and Malliavin calculus. Collaborations with other professors of the Statistics group are possible.
Candidates should have an updated CV and a short research statement ready to be sent along with three letters of reference.
The positions are designed for one year. Interested candidates can reach out to Lorenzo Cappello to learn more about the application process.
