26 machine-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Mathjobs.org

Assistant/Associate/Full Professor, Applied Data Science

machine learning methodologies to address them. The search is broad and welcomes research spanning modern statistical methods, machine learning, AI, and emerging approaches to data science, with

Visiting Fellow

of statistics, data science, machine learning, artificial intelligence, computer science, and related disciplines. Successful candidates are offered a two-year appointment with the potential for a one

Assistant Professor in Data Science

flows, scientific machine learning, optimization, inverse problems, or data assimilation, who have the potential to supervise PhD and master's student research with ability to contribute to curriculum

Postdoctoral Associate

families of algorithms for cryo-electron microscopy (cryo-EM) and broader applications in data science * Protein structure prediction: Combining traditional and machine learning approaches to protein

Research Associate (Postdoc) – 2nd qualification period (for the initial appointment to a full professorship)

focuses primarily on geometric analysis, spectral geometry, and differential geometry on singular spaces, preferably with connections to Finsler geometry, discrete geometry, or machine learning. Your

Research Fellow Positions at Korea Institute for Advanced Study(The School of Computational Sciences)

KIAS in the relevant research fields: □ Computational Sciences o Combinatorics, Algorithm, Extremal Graph Theory, Computing Theory o Programming Language, AI Theory or Machine Learning o AI-Driven

Postdoctoral Research Associate in Rough Path Theory for Applications

responsibility for carrying out research in rough path theory, machine learning, generative AI and related fields as part of the DataSig II grant “High order mathematical and computational infrastructure

Assistant Professor in Computational Mathematics (Mathematics of Computer Science)

mathematics, artificial intelligence, computability, computational complexity, computational mathematics, computer systems, discrete mathematics, machine learning, mathematical modeling, numerical

Postdoctoral Associate

mechanics, machine learning or applied/computational mathematics. ● Demonstrated ability to carry out original mathematical derivations and/or develop computational tools, evidenced by publications

Assistant Professor in Statistics

the department includes statistical learning, high-dimensional statistics, data privacy, Bayesian statistics, sequential analysis, scientific machine learning, and random matrix theory. Binghamton