_09_01_Two Postdoctoral Fellowship in Inverse Problems and Machine Learning (Pamplona)

_09_01_Two Postdoctoral Fellowship in Inverse Problems and Machine Learning (Pamplona)

19 oct
|
ScienceCareers.eu
|
Pamplona

19 oct

ScienceCareers.eu

Pamplona

BCAM-The Basque Center for Applied Mathematics Organisation/Company BCAM-The Basque Center for Applied Mathematics Department Inverse problems, partial differential equations (PDEs), and modern neural operator architectures. Research Field Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 22 Oct 2026 - 23:59 (UTC) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week full time Offer Starting Date 1 Feb 2027 Is the job funded through the EU Research Framework Programme? Horizon Europe Marie Curie Grant Agreement Number 0 Is the Job related to staff position within a Research Infrastructure? No Offer Description Project: Work on the mathematical foundations and algorithmic development of operator-based machine learning methods for inverse problems governed by PDEs (operator RNNs, shape imaging, noise-aware operator learning, approximation theory). Includes research visits to the University of Helsinki. Requirements: * PhD in Mathematics, Applied Mathematics, or a related field (completed before start).



* Strong background in analysis of PDEs, inverse problems, and/or numerical analysis. * Interest in mathematical theory of machine learning and neural operators. * Proven track record of high-quality research publications. * Excellent communication skills in spoken and written English. Offer: 2-year contract starting Jan – Jun 2027. Gross annual salary of €31,359 – €38,077 (depending on experience) + moving allowance (€1,000 – €2,000) + family allowances (if applicable) + local tax benefits in Bizkaia + Spanish Public Health System coverage. Requirements Skills/Qualifications A strong background in the analysis of PDEs, inverse problems, and/or numerical analysis. Interest in the mathematical theory of machine learning and neural operators. A proven track record of high-quality research publications in top journals/conferences. Demonstrated ability to work independently and as part of an int

📌 _09_01_Two Postdoctoral Fellowship in Inverse Problems and Machine Learning (Pamplona)
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