14 learning Postdoctoral positions at Mathjobs.org

Tenure-Track Faculty Position in Mathematics for AI and Scientific Discovery (2027–2028)

position targets researchers whose primary methodological contribution lies in artificial intelligence, machine learning, probabilistic modeling, or their mathematical foundations, rather than primarily

POSTECHCM2LAPOSTDOC

Postdoctoral Fellowship at POSTECH Center for Mathematical Machine Learning and its Applications (CM2LA) The Center for Mathematical Machine Learning and its Applications (CM2LA), affiliated with the

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

Postdoctoral Researcher

mathematics Shira Faigenbaum-Golovin Manifold learning, shape space analysis, machine learning, mathematics of data science Mathematical modeling and manifold learning of high-dimensional data geometry

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

TMDC Postdoctoral Associate

applications are particularly encouraged to apply. Expertise in statistical or machine-learning methods is also welcome, as connection with experimental and clinical data is important for our work. Prior

Postdoctoral Positions in Mathematics

standards of academic excellence. The School and the Department of Mathematics strive to create working and learning environments that foster intellectual growth and encourage meaningful connections within our Penn academic community and beyond.

Postdoctoral Fellow

+ Research Talent Initiative at SFU. Applications are encouraged from candidates working in areas aligned with the Chair's mission, with priority given to: * Scientific Machine Learning; * Advanced

2027 Luis W Alvarez and Grace M Hopper Postdoctoral Fellowships

fellowships. The successful candidates will participate in research activities in computer science, mathematics, data science, machine learning, AI, or any computational science discipline of interest to

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