Postdoc position in Statistical Inference & Learning
at ICTP, Trieste, Italy, starting summer/fall 2019.
Candidates should have a background in mathematics (probability,
Candidates should have a background in mathematics (probability,
statistics), theoretical physics (statistical physics), computer science,
information theory, electrical engineering and/or related disciplines,
and be able to carry out active, independent and multidisciplinary
research in the following areas: Statistical Inference & Learning:
Mathematical & Algorithmic Aspects High-dimensional statistics,
probability, statistical inference, signal processing, machine learning,
neural networks, analysis of algorithms, statistical physics, spin-glass
models, information theory, error-correcting codes, discrete
mathematics, combinatorial optimization.
See: https://www.ictp.it/media/1698975/qls-postdoctoral-call-2019_final-1.pdf and
https://www.ictp.it/about-ictp/media-centre/news/2019/5/qls-postdoc.aspx
Applications should be submitted online through: https://e-applications.ictp.it/applicant/login/QP19
See: https://www.ictp.it/media/1698975/qls-postdoctoral-call-2019_final-1.pdf and
https://www.ictp.it/about-ictp/media-centre/news/2019/5/qls-postdoc.aspx
Applications should be submitted online through: https://e-applications.ictp.it/applicant/login/QP19
From: Quantitative Life Sciences <qls@ictp.it>